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Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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1

SCHOOL OF MATHEMATICS AND STATISTICS Spring Semester Time Series 2 hours  

E-Print Network (OSTI)

to University regulations. There are 99 marks available on the paper. Please leave this exam paper on your desk time series and their relationship, using suitable technical terms and adding approximate quanti series model Xt = 1 3 Xt-1 + t + 1 2 t-1 - 1 4 t-2, where t is white noise with variance 4. (i) Explain

Oakley, Jeremy

2

Time Series and Forecasting  

Science Conference Proceedings (OSTI)

Time Series and Forecasting. Leigh, Stefan and Perlman, S. (1991). "An Index for Comovement of Time Sequences With ...

3

A review on time series data mining  

Science Conference Proceedings (OSTI)

Time series is an important class of temporal data objects and it can be easily obtained from scientific and financial applications. A time series is a collection of observations made chronologically. The nature of time series data includes: large in ... Keywords: Representation, Segmentation, Similarity measure, Time series data mining, Visualization

Tak-chung Fu

2011-02-01T23:59:59.000Z

4

Climatological Time Series with Periodic Correlation  

Science Conference Proceedings (OSTI)

Many climatological time series display a periodic correlation structure. This paper examines three issues encountered when analyzing such time series: detection of periodic correlation, modeling periodic correlation, and trend estimation under ...

Robert Lund; Harry Hurd; Peter Bloomfield; Richard Smith

1995-11-01T23:59:59.000Z

5

hal-00122749,version1-8Jan2007 Time Series Forecasting: Obtaining Long Term Trends with  

E-Print Network (OSTI)

. For example when forecast- ing an electrical consumption, it could be advan- tageous to predict all hourly As second example, we use the Polish electrical load time series [ 6]. This series contains hourly valueshal-00122749,version1-8Jan2007 Time Series Forecasting: Obtaining Long Term Trends with Self

Paris-Sud XI, Université de

6

Time dependent Directional Profit Model for Financial Time Series Forecasting  

E-Print Network (OSTI)

Time dependent Directional Profit Model for Financial Time Series Forecasting Jingtao YAO Chew Lim@comp.nus.edu.sg Abstract Goodness­of­fit is the most popular criterion for neural network time series forecasting. In the context of financial time series forecasting, we are not only concerned at how good the forecasts fit

Yao, JingTao

7

Time Series Prediction Forecasting the Future and ...  

Science Conference Proceedings (OSTI)

Time Series Prediction Forecasting the Future and Understanding the Past Santa Fe Institute Proceedings on the Studies in the Sciences of ...

2012-10-01T23:59:59.000Z

8

Statistical criteria for characterizing irradiance time series.  

SciTech Connect

We propose and examine several statistical criteria for characterizing time series of solar irradiance. Time series of irradiance are used in analyses that seek to quantify the performance of photovoltaic (PV) power systems over time. Time series of irradiance are either measured or are simulated using models. Simulations of irradiance are often calibrated to or generated from statistics for observed irradiance and simulations are validated by comparing the simulation output to the observed irradiance. Criteria used in this comparison should derive from the context of the analyses in which the simulated irradiance is to be used. We examine three statistics that characterize time series and their use as criteria for comparing time series. We demonstrate these statistics using observed irradiance data recorded in August 2007 in Las Vegas, Nevada, and in June 2009 in Albuquerque, New Mexico.

Stein, Joshua S.; Ellis, Abraham; Hansen, Clifford W.

2010-10-01T23:59:59.000Z

9

Predicting time series with advanced hybrid systems  

Science Conference Proceedings (OSTI)

Autogressive moving average (ARMA) has been widely used to model processes that generate linear time-series. Recent research activities in forecasting with artificial neutral networks (ANNs) suggest that ANNs can be a promising alternative to the traditional ... Keywords: ARMA models, fuzzy system, hybrid system, neutral networks, time series

O. Valenzuela; I. Rojas; F. Rojas; H. Pomares; J. Gonzalez; L. J. Herrera; A. Guillen

2005-12-01T23:59:59.000Z

10

Efficient forecasting for hierarchical time series  

Science Conference Proceedings (OSTI)

Forecasting is used as the basis for business planning in many application areas such as energy, sales and traffic management. Time series data used in these areas is often hierarchically organized and thus, aggregated along the hierarchy levels based ... Keywords: forecasting, hierarchies, optimization, time series

Lars Dannecker; Robert Lorenz; Philipp Rsch; Wolfgang Lehner; Gregor Hackenbroich

2013-10-01T23:59:59.000Z

11

Time series forecasting with Qubit Neural Networks  

Science Conference Proceedings (OSTI)

This paper proposes a quantum learning scheme approach for time series forecasting, through the application of the new non-standard Qubit Neural Network (QNN) model. The QNN description was adapted in this work in order to resemble classical Artificial ... Keywords: artificial intelligence, artificial neural networks, quantum computing, qubit neural networks, time series forecasting

Carlos R. B. Azevedo; Tiago A. E. Ferreira

2007-08-01T23:59:59.000Z

12

Tritium Time Series from Ocean Station P  

Science Conference Proceedings (OSTI)

We present time series of tritium (3H) concentrations at varying depths in the water column at Ocean Station P(50N, 145W) in the northeast Pacific. Measurements started in the fall of 1974, at the time of the GEOSECS mapping of the North ...

A. E. Gargett; G. Ostlund; C. S. Wong

1986-10-01T23:59:59.000Z

13

Integrated method for chaotic time series analysis  

DOE Patents (OSTI)

Methods and apparatus for automatically detecting differences between similar but different states in a nonlinear process monitor nonlinear data. Steps include: acquiring the data; digitizing the data; obtaining nonlinear measures of the data via chaotic time series analysis; obtaining time serial trends in the nonlinear measures; and determining by comparison whether differences between similar but different states are indicated.

Hively, Lee M. (Philadelphia, TN); Ng, Esmond G. (Concord, TN)

1998-01-01T23:59:59.000Z

14

Integrated method for chaotic time series analysis  

DOE Patents (OSTI)

Methods and apparatus for automatically detecting differences between similar but different states in a nonlinear process monitor nonlinear data are disclosed. Steps include: acquiring the data; digitizing the data; obtaining nonlinear measures of the data via chaotic time series analysis; obtaining time serial trends in the nonlinear measures; and determining by comparison whether differences between similar but different states are indicated. 8 figs.

Hively, L.M.; Ng, E.G.

1998-09-29T23:59:59.000Z

15

Optimal aggregation of linear time series models  

Science Conference Proceedings (OSTI)

Aggregation is a central and mainly unsolved problem in econometrics. When considering linear time series models, a widely used method is to replace the disaggregate model by an aggregative one in which the variables are grouped and replaced by sums ... Keywords: Aggregation, Industrial classification, Threshold accepting

J. Chipman; P. Winker

2005-04-01T23:59:59.000Z

16

Segmenting Time Series for Weather Forecasting  

E-Print Network (OSTI)

turbines. In the domain of meteorology, time series data produced by numerical weather prediction (NWP) models is summarised as weather forecast texts. In the domain of gas turbines, sensor data from an operational gas turbine is summarised for the maintenance engineers. More details on SUMTIME have been

Reiter, Ehud

17

Forecasting Electricity Demand by Time Series Models  

Science Conference Proceedings (OSTI)

Electricity demand is one of the most important variables required for estimating the amount of additional capacity required to ensure a sufficient supply of energy. Demand and technological losses forecasts can be used to control the generation and distribution of electricity more efficiently. The aim of this paper is to utilize time series model

E. Stoimenova; K. Prodanova; R. Prodanova

2007-01-01T23:59:59.000Z

18

Can biomass time series be reliably assessed from CPUE time series data Francis Lalo1  

E-Print Network (OSTI)

1 Can biomass time series be reliably assessed from CPUE time series data only? Francis Laloë1 to abundance. This means (i) that catchability is constant and (ii) that all the biomass is catchable. If so, relative variations in CPUE indicate the same relative variations in biomass. Myers and Worm consider

Hawai'i at Manoa, University of

19

Earth Hour 2009: March 28, 8:30-9:30 PM Local Time | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time March 27, 2009 - 6:00am Addthis John Lippert The city of Greenbelt, Maryland, where I live, is living up to its "green" name by participating in Earth Hour. This global event asks everyone to "go dark" for an hour to make a powerful statement of concern about climate change. The city will be turning off all non-essential lights in municipal buildings. Residents are requested to turn off their lights (and other energy-consuming appliances). The Greenbelt Advisory Committee on Environmental Sustainability, which advises the mayor and city council and which I chair, will be sponsoring a flashlight walk around Old Greenbelt during Earth Hour. My wife and I will

20

Earth Hour 2009: March 28, 8:30-9:30 PM Local Time | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time March 27, 2009 - 6:00am Addthis John Lippert The city of Greenbelt, Maryland, where I live, is living up to its "green" name by participating in Earth Hour. This global event asks everyone to "go dark" for an hour to make a powerful statement of concern about climate change. The city will be turning off all non-essential lights in municipal buildings. Residents are requested to turn off their lights (and other energy-consuming appliances). The Greenbelt Advisory Committee on Environmental Sustainability, which advises the mayor and city council and which I chair, will be sponsoring a flashlight walk around Old Greenbelt during Earth Hour. My wife and I will

Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

DOE Awards 265 Million Hours of Supercomputing Time to Advance DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading Scientific Research Projects DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading Scientific Research Projects January 17, 2008 - 10:38am Addthis WASHINGTON, DC -The U.S. Department of Energy's (DOE) Office of Science today announced that 265 million processor-hours were awarded to 55 scientific projects, the largest amount of supercomputing resource awards donated in the Department's history and three times that of last year's award. The projects-with applications from aeronautics to astrophysics, and from climate change to combustion research-were chosen based on their potential breakthroughs in the science and engineering research and their suitability of the project for using supercomputers. These awards will

22

DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

265 Million Hours of Supercomputing Time to Advance 265 Million Hours of Supercomputing Time to Advance Leading Scientific Research Projects DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading Scientific Research Projects January 17, 2008 - 10:38am Addthis WASHINGTON, DC -The U.S. Department of Energy's (DOE) Office of Science today announced that 265 million processor-hours were awarded to 55 scientific projects, the largest amount of supercomputing resource awards donated in the Department's history and three times that of last year's award. The projects-with applications from aeronautics to astrophysics, and from climate change to combustion research-were chosen based on their potential breakthroughs in the science and engineering research and their suitability of the project for using supercomputers. These awards will

23

DOE's Office of Science Awards 18 Million Hours of Supercomputing Time to  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Office of Science Awards 18 Million Hours of Supercomputing Office of Science Awards 18 Million Hours of Supercomputing Time to 15 Teams for Large-Scale Scientific Computing DOE's Office of Science Awards 18 Million Hours of Supercomputing Time to 15 Teams for Large-Scale Scientific Computing February 1, 2006 - 11:14am Addthis WASHINGTON, D.C. - Secretary of Energy Samuel W. Bodman announced today that DOE's Office of Science has awarded a total of 18.2 million hours of computing time on some of the world's most powerful supercomputers to help researchers in government labs, universities, and industry working on projects ranging from designing more efficient engines to better understanding Parkinson's disease. The allocations of computing time are made under DOE's Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program, now in its

24

Combining motif information and neural network for time series prediction  

Science Conference Proceedings (OSTI)

Recent research works pay more attention to time series prediction, in which some time series data mining approaches have been exploited. In this paper, we propose a new method for time series prediction which is based on the concept of time series motifs. ...

Cao Duy Truong; Huynh Nguyen Tin; Duong Tuan Anh

2012-01-01T23:59:59.000Z

25

WIPP Workers Reach Two Million Man-Hours Without a Lost-Time Accident  

NLE Websites -- All DOE Office Websites (Extended Search)

Workers Reach Two Million Man-Hours Workers Reach Two Million Man-Hours Without a Lost-Time Accident CARLSBAD, N.M., February 22, 2001 - Workers at the U.S. Department of Energy's (DOE) Waste Isolation Pilot Plant (WIPP) reached a safety milestone Feb. 19 by working two million man-hours without a lost-time accident. According to the National Safety Council, facilities with the same industry code as WIPP lose an average of 20.6 workdays (or 164.8 man-hours) a year to accidents. "Safety is at the core of all WIPP operations," said Dr. Inés Triay, Manager of DOE's Carlsbad Field Office. "We are particularly pleased that WIPP workers reached the two million mark during the time in which they mined a new panel and increased shift work." "To make safety a number one priority means more than creating a safe

26

DOE's Office of Science Awards 95 Million Hours of Supercomputing Time to  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

95 Million Hours of Supercomputing 95 Million Hours of Supercomputing Time to Advance Research in Science, Academia and Industry DOE's Office of Science Awards 95 Million Hours of Supercomputing Time to Advance Research in Science, Academia and Industry January 8, 2007 - 9:59am Addthis WASHINGTON, D.C. - The U.S. Department of Energy's (DOE) Office of Science announced today that 45 projects were awarded a total of 95 million hours of computing time on some of the world's most powerful supercomputers as part of its 2007 Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. DOE's Under Secretary for Science Dr. Raymond Orbach presented the awards at the Council on Competitiveness in Washington, DC. Supercomputers are playing an increasingly important role in scientific

27

Pantex celebrates three million hours without a lost time injury | National  

NLE Websites -- All DOE Office Websites (Extended Search)

three million hours without a lost time injury | National three million hours without a lost time injury | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Pantex celebrates three million hours without a ... Pantex celebrates three million hours without a lost time injury Posted By Office of Public Affairs NNSA Blog NNSA Blog

28

Time series analysis of a Web search engine transaction log  

Science Conference Proceedings (OSTI)

In this paper, we use time series analysis to evaluate predictive scenarios using search engine transactional logs. Our goal is to develop models for the analysis of searchers' behaviors over time and investigate if time series analysis is a valid method ... Keywords: ARIMA, Box-Jenkins model, Search engine, Time series analysis, Transactional log

Ying Zhang; Bernard J. Jansen; Amanda Spink

2009-03-01T23:59:59.000Z

29

Structural Time Series Models and Trend Detection in Global and Regional Temperature Series  

Science Conference Proceedings (OSTI)

A unified statistical approach to identify suitable structural time series models for annual mean temperature is proposed. This includes a generalized model that can represent all the commonly used structural time series models for trend ...

Xiaogu Zheng; Reid E. Basher

1999-08-01T23:59:59.000Z

30

IMPROVEMENTS TO THE RADIANT TIME SERIES METHOD COOLING LOAD CALCULATION  

E-Print Network (OSTI)

IMPROVEMENTS TO THE RADIANT TIME SERIES METHOD COOLING LOAD CALCULATION PROCEDURE By BEREKET TO THE RADIANT TIME SERIES METHOD COOLING LOAD CALCULATION PROCEDURE Dissertation Approved: Dr. Jeffrey D- Original RTSM.......................................................153 4.4.1 RTSM Peak Design Cooling Load

31

Changepoint Detection in Periodic and Autocorrelated Time Series  

Science Conference Proceedings (OSTI)

Undocumented changepoints (inhomogeneities) are ubiquitous features of climatic time series. Level shifts in time series caused by changepoints confound many inference problems and are very important data features. Tests for undocumented ...

Robert Lund; Xiaolan L. Wang; Qi Qi Lu; Jaxk Reeves; Colin Gallagher; Yang Feng

2007-10-01T23:59:59.000Z

32

A New Method for Time Series Filtering near Endpoints  

Science Conference Proceedings (OSTI)

Time series filtering (e.g., smoothing) can be done in the spectral domain without loss of endpoints. However, filtering is commonly performed in the time domain using convolutions, resulting in lost points near the series endpoints. Multiple ...

Anthony Arguez; Peng Yu; James J. OBrien

2008-04-01T23:59:59.000Z

33

Detecting and Classifying Events in Noisy Time Series  

Science Conference Proceedings (OSTI)

Time series are characterized by a myriad of different shapes and structures. A number of events that appear in atmospheric time series result from as yet unidentified physical mechanisms. This is particularly the case for stable boundary layers, ...

Yanfei Kang; Danijel Belui?; Kate Smith-Miles

34

Prediction of clock time hourly global radiation from daily values over  

Open Energy Info (EERE)

Prediction of clock time hourly global radiation from daily values over Prediction of clock time hourly global radiation from daily values over Bangladesh Dataset Summary Description (Abstract): A need for predicting hourly global radiation exists for many locations particularly in Bangladesh for which measured values are not available and daily values have to be estimated from sunshine data. The CPRG model has been used to predict values of hourly Gh for Dhaka (23.770N, 90.380E), Chittagong (22.270N, 91.820E) and Bogra (24.850N, 89.370E) for = ±7.50, ±22.50, ±37.50, ±52.50, ±67.50, ±82.50 and ±97.50 i.e., for ±1/2, ±3/2, ±5/2, ±7/2, ±9/2, ±11/2, ±13/2 hours before and after solar noon and the computed values for different months are symmetrical about solar noon whereas for many months experimental data show a clear asymmetry. To obtain improved

35

Bispectral-based methods for clustering time series  

Science Conference Proceedings (OSTI)

Distinguishing among linear and nonlinear time series or between nonlinear time series generated by different underlying processes is challenging, as second-order properties are generally insufficient for the task. Different nonlinear processes have ... Keywords: Bispectral density function, Hierarchical clustering, Nonlinear time series

Jane L. Harvill, Nalini Ravishanker, Bonnie K. Ray

2013-08-01T23:59:59.000Z

36

Feature-based clustering for electricity use time series data  

Science Conference Proceedings (OSTI)

Time series clustering has been shown effective in providing useful information in various applications. This paper presents an efficient computational method for time series clustering and its application focusing creation of more accurate electricity ... Keywords: electricity distribution, electricity use data, feature extraction, feature-based clustering, load curves, time series clustering

Teemu Rsnen; Mikko Kolehmainen

2009-04-01T23:59:59.000Z

37

A Potential-Field Approach to Financial Time Series Modelling  

Science Conference Proceedings (OSTI)

We present a new approach to the problem of time series modelling that captures the invariant distribution of time series data within the model. This is particularly relevant in modelling economic and financial time series, such as oil prices, that ... Keywords: diffusion, multiple attraction regions, potential function, price

S. Borovkova; H. Dehling; J. Renkema; H. Tulleken

2003-10-01T23:59:59.000Z

38

Y-12 Construction hits one million-hour mark without a lost-time accident |  

NLE Websites -- All DOE Office Websites (Extended Search)

Construction hits one ... Construction hits one ... Y-12 Construction hits one million-hour mark without a lost-time accident Posted: August 30, 2012 - 5:30pm The B&W Y-12 Direct-Hire Construction team has worked one million hours, covering a 633-day period, without a lost-time injury. Some 285 people including building trade crafts, non-manual staff and escorts worked without a lost-time accident during this period. The Construction team's last lost workday was in September 2010. A celebration was held today to mark the safety milestone. Senior leaders from National Nuclear Security Administration Production Office (NPO) and B&W Y-12 were on hand to congratulate the workers. Jim Haynes, B&W Y-12 senior vice president and deputy general manager for projects, said, "Congratulations are due the men and women of

39

An Approach to Adjusting Climatological Time Series for Discontinuous Inhomogeneities  

Science Conference Proceedings (OSTI)

A method is described whereby climatological time series of temperature and precipitation can be adjusted for station inhomogeneities using station history information. The adjusted data retains its original scale and is not an anomaly series. ...

Thomas R. Karl; Claude N. Williams Jr.

1987-12-01T23:59:59.000Z

40

Time Series Dependent Analysis of Unparametrized Thomas Networks  

Science Conference Proceedings (OSTI)

This paper is concerned with the analysis of labeled Thomas networks using discrete time series. It focuses on refining the given edge labels and on assessing the data quality. The results are aimed at being exploitable for experimental design and include ... Keywords: Time series analysis,Regulators,Computational modeling,Time measurement,Bioinformatics,Computational biology,Labeling,constraint satisfaction.,Time series analysis,model checking,temporal logic,biology and genetics

Hannes Klarner; Heike Siebert; Alexander Bockmayr

2012-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Chaotic Time Series Forecasting Base on Fuzzy Adaptive PSO for Feedforward Neural Network Training  

Science Conference Proceedings (OSTI)

Short-term electricity demand forecasting for the next hour to several days out is one of the most important tools by which an electric utility plans and dispatches the loading of generating units in order to meet system demand. But there exists chaos ... Keywords: Particle Swarm Optimization (PSO), chaotic time Series, fuzzy system, feedforward neural network

Wenyu Zhang; Jinzhao Liang; Jianzhou Wang; Jinxing Che

2008-11-01T23:59:59.000Z

42

Forecasting of Chaotic Cloud Absorption Time Series for Meteorological and Plume Dispersion Modeling  

Science Conference Proceedings (OSTI)

A nonlinear forecasting method based on the reconstruction of a chaotic strange attractor from about 1.5 years of cloud absorption data obtained from half-hourly Meteosat infrared images was used to predict the behavior of the time series 24 h in ...

V. Prez-Muuzuri

1998-11-01T23:59:59.000Z

43

Spectral estimation for locally stationary time series with missing observations  

Science Conference Proceedings (OSTI)

Time series arising in practice often have an inherently irregular sampling structure or missing values, that can arise for example due to a faulty measuring device or complex time-dependent nature. Spectral decomposition of time series is a traditionally ... Keywords: Missing data, Nondecimated transform, Spectral estimation, Wavelet lifting

Marina I. Knight; Matthew A. Nunes; Guy P. Nason

2012-07-01T23:59:59.000Z

44

Forecasting Natural Gas Prices Using Time Series Models .  

E-Print Network (OSTI)

??The objective of this thesis is to estimate the natural gas component of the All Urban Consumer Price Index (CP-U) using time series forecasting models. (more)

Berg, Andrew

2006-01-01T23:59:59.000Z

45

Characterizability of metabolic pathway systems from time series...  

NLE Websites -- All DOE Office Websites (Extended Search)

Characterizability of metabolic pathway systems from time series data Eberhard O. Voit The Wallace H. Coulter, Department of Biomedical Engineering at Georgia Tech. and Emory...

46

Time Series Graphs of Global and Hemispheric Temperature Anomalies...  

NLE Websites -- All DOE Office Websites (Extended Search)

Time Series Graphs of Global and Hemispheric Temperature Anomalies graphics Graph - Global and Hemispheric Annual Temperature Anomalies, 1850-2012 graphics Graph - Northern...

47

Data Tools & Models - Time Series - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Time-series data for net generation, fossil fuel consumption for electricity generation, existing nameplate and net summer capacity, proposed nameplate capacity, ...

48

Abstract--This paper analyzes a distribution system load time series through autocorrelation coefficient, power spectral density,  

E-Print Network (OSTI)

models [7], [8]. The load model developed in [7] provides different 24-hour load profiles for different seasons. The 24-hour load profile is obtained by a weighted sum of peak loads from different types1 Abstract--This paper analyzes a distribution system load time series through autocorrelation

Bak-Jensen, Birgitte

49

Parametric spectral analysis of malaria gene expression time series data  

Science Conference Proceedings (OSTI)

Spectral analysis of DNA microarray gene expressions time series data is important for understanding the regulation of gene expression and gene function of the Plasmodium falciparum in the intraerythrocytic developmental cycle. In this paper, ... Keywords: autoregressive model, microarray time series analysis, plasmodium falciparum, singular spectrum analysis, spectral estimation

Liping Du; Shuanhu Wu; Alan Wee-Chung Liew; David Keith Smith; Hong Yan

2006-09-01T23:59:59.000Z

50

Chaotic time series forecasting using locally quadratic fuzzy neural models  

Science Conference Proceedings (OSTI)

Time series forecasting in highly nonlinear and chaotic systems is a challenging research area with a variety of applications in economics, environmental sciences and various fields of engineering. This paper presents a novel Locally Quadratic Fuzzy ... Keywords: chaotic time series, forecasting, locally quadratic neural fuzzy model

Mohammad J. Mahjoob; Majid Abdollahzade; Reza Zarringhalam; Ahmad Kalhor

2008-05-01T23:59:59.000Z

51

Large margin mixture of AR models for time series classification  

Science Conference Proceedings (OSTI)

In this paper, we propose the large margin autoregressive (LMAR) model for classification of time series patterns. The parameters of the generative AR models for different classes are estimated using the margin of the boundaries of AR models as the optimization ... Keywords: Generative and discriminative hybrid models, Large margin autoregressive model, Large margin mixture autoregressive model, Outlier detection, Rejection option, Time series classification

B. Venkataramana Kini; C. Chandra Sekhar

2013-01-01T23:59:59.000Z

52

A Study on Training Criteria for Financial Time Series Forecasting  

E-Print Network (OSTI)

A Study on Training Criteria for Financial Time Series Forecasting JingTao YAO Dept of Information on goodness-of-fit which is also the most popular criterion forecasting. How ever, in the context of financial time series forecasting, we are not only concerned at how good the forecasts fit their target. In order

Yao, JingTao

53

Time Series Analysis and Forecasting in Stock Market Investments  

E-Print Network (OSTI)

Time Series Analysis and Forecasting in Stock Market Investments Ted Chi-Wei Fung Department and forecasting have been used as methods to help precisely on the task of stock market prediction by using past data. This paper will discuss three different models to create a time series analysis and forecast

Zanibbi, Richard

54

Short term wind power forecasting using time series neural networks  

Science Conference Proceedings (OSTI)

Forecasting wind power energy is very important issue in a liberalized market and the prediction tools can make wind energy be competitive in these kinds of markets. This paper will study an application of time-series and neural network for predicting ... Keywords: neural networks, time series, wind power forecasting

Mohammadsaleh Zakerinia; Seyed Farid Ghaderi

2011-04-01T23:59:59.000Z

55

A new class of hybrid models for time series forecasting  

Science Conference Proceedings (OSTI)

Applying quantitative models for forecasting and assisting investment decision making has become more indispensable in business practices than ever before. Improving forecasting especially time series forecasting accuracy is an important yet often difficult ... Keywords: Artificial neural networks (ANNs), Auto-Regressive Integrated Moving Average (ARIMA), Hybrid models, Probabilistic neural networks (PNNs), Time series forecasting

Mehdi Khashei; Mehdi Bijari

2012-03-01T23:59:59.000Z

56

Time Series Momentum Trading Strategy and Autocorrelation Amplification  

E-Print Network (OSTI)

Time Series Momentum Trading Strategy and Autocorrelation Amplification K. J. Hong and S. Satchell June 2013 CWPE 1322 1 Time Series Momentum Trading Strategy and Autocorrelation Amplification... K. J. Honga,* and S. Satchellb Current Version: May 23, 2013 a University Technology of Sydney, Ultimo Rd, Haymarket NSW 2000, Australia b Trinity College, University of Cambridge, Address: Trinity College, Cambridge, CB2 1TQ, U...

Hong, K. J.; Satchell, S.

2013-06-18T23:59:59.000Z

57

A Sparse Regression Mixture Model for Clustering Time-Series  

Science Conference Proceedings (OSTI)

In this study we present a new sparse polynomial regression mixture model for fitting time series. The contribution of this work is the introduction of a smoothing prior over component regression coefficients through a Bayesian framework. This is done ... Keywords: Clustering time-series, Expectation-Maximization (EM) algorithm, Regression mixture model, sparse prior

K. Blekas; Nikolaos Galatsanos; A. Likas

2008-10-01T23:59:59.000Z

58

Comparing non-stationary and irregularly spaced time series  

Science Conference Proceedings (OSTI)

In this paper, we present approximate distributions for the ratio of the cumulative wavelet periodograms considering stationary and non-stationary time series generated from independent Gaussian processes. We also adapt an existing procedure to use this ... Keywords: Distributions of quadratic forms, Hypothesis testing, Irregularly spaced time series, Locally stationary wavelet processes, Multiresolution approximation

Gladys E. Salcedo; RogRio F. Porto; Pedro A. Morettin

2012-12-01T23:59:59.000Z

59

Analysis of Long Time Series of Coastal Wind  

Science Conference Proceedings (OSTI)

A study of a 14-yr time series of wind speed recorded on the coast outside the city of Trondheim in middle Norway is presented. Analysis of the time series shows that in this area there is, in general, no gap in the wind speed power spectrum in ...

Tore Heggem; Rune Lende; Jrgen Lvseth

1998-09-01T23:59:59.000Z

60

Hypothesis testing for auto-correlated short climate time series  

Science Conference Proceedings (OSTI)

Commonly used statistical tests of hypothesis, also termed inferential tests, which are available to meteorologists and climatologists all require independent data in the time series to which they are applied. Unfortunately, most of the time ...

Virginie Guemas; Ludovic Auger; Francisco J. Doblas-Reyes

Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Double Quantization of the Regressor Space for Long-Term Time Series Prediction: Method and Proof of Stability  

E-Print Network (OSTI)

on a stan- dard benchmark (Santa Fe A series) and on a real-world problem of electrical load forecasting an electrical consumption, the prob- lem may be to forecast hourly values for a whole day instead of predicting, a particular time series forecasting method based on Kohonen maps is described. This method has been

Paris-Sud XI, Université de

62

SF 6432-TM Standard Terms and Conditions for Time and Materials Labor Hour Contracts  

NLE Websites -- All DOE Office Websites (Extended Search)

TM (04-95) TM (04-95) Sections II & III SECTION II STANDARD TERMS AND CONDITIONS FOR TIME AND MATERIAL OR LABOR HOURS CONTRACTS INDEX OF CLAUSES THE FOLLOWING CLAUSES APPLY TO THIS CONTRACT AS INDICATED UNLESS SPECIFICALLY DELETED, OR EXCEPT TO THE EXTENT THEY ARE SPECIFICALLY SUPPLEMENTED OR AMENDED IN WRITING IN THE SIGNATURE PAGE OR SECTION I. No. Title Page "A" Clauses apply to Requests for Quotation and Contracts at any value A10 Definitions 2 A11 Unclassified Contract 2 A12 Assignment 2 *A13 Releases Void 2 *A14 Notice of Labor Disputes 2 *A16 Contractor's Information 2 A17 Delegated Representatives 2 *A18 Defense Priority and Allocation System 2 A19 Terms and Conditions 3 *A20 Permits 3 *A23 Applicable Law 3 *A24 Contractor Records Retention 3 A25 Commerce in Explosives, Firearms and

63

A new time-invariant fuzzy time series forecasting method based on genetic algorithm  

Science Conference Proceedings (OSTI)

In recent years, many fuzzy time series methods have been proposed in the literature. Some of these methods use the classical fuzzy set theory, which needs complex matricial operations in fuzzy time series methods. Because of this problem, many studies ...

Erol E?rio?lu

2012-01-01T23:59:59.000Z

64

Homogenization of Radiosonde Temperature Time Series Using Innovation Statistics  

Science Conference Proceedings (OSTI)

Radiosonde temperature records contain valuable information for climate change research from the 1940s onward. Since they are affected by numerous artificial shifts, time series homogenization efforts are required. This paper introduces a new ...

Leopold Haimberger

2007-04-01T23:59:59.000Z

65

Generating Scenarios of Local Surface Temperature Using Time Series Methods  

Science Conference Proceedings (OSTI)

A method for creating scenarios of time series of monthly mean surface temperature at a specific site is developed. It is postulated that surface temperature can be specified as a linear combination of regional and local temperature components, ...

Robert S. Chen; Peter J. Robinson

1991-07-01T23:59:59.000Z

66

Bayesian Mixture of AR Models for Time Series Clustering  

Science Conference Proceedings (OSTI)

In this paper we propose a Bayesian framework for estimation of parameters of a mixture of autoregressive model, for time series clustering. The proposed approach is based on variational principles and provides a tractable approximation to the true posterior ...

Venkataramana Kini B; C. Chandra Sekhar

2009-02-01T23:59:59.000Z

67

Eyeballing Trends in Climate Time Series: A Cautionary Note  

Science Conference Proceedings (OSTI)

In examining a plot of a time series of a scalar climate variable for indications of climate change, an investigator might pick out what appears to be a linear trend commencing near the end of the record. Visual determination of the starting time ...

Donald B. Percival; D. Andrew Rothrock

2005-03-01T23:59:59.000Z

68

Detection of trend changes in time series using Bayesian inference  

E-Print Network (OSTI)

Change points in time series are perceived as isolated singularities where two regular trends of a given signal do not match. The detection of such transitions is of fundamental interest for the understanding of the system's internal dynamics. In practice observational noise makes it difficult to detect such change points in time series. In this work we elaborate a Bayesian method to estimate the location of the singularities and to produce some confidence intervals. We validate the ability and sensitivity of our inference method by estimating change points of synthetic data sets. As an application we use our algorithm to analyze the annual flow volume of the Nile River at Aswan from 1871 to 1970, where we confirm a well-established significant transition point within the time series.

Schtz, Nadine

2011-01-01T23:59:59.000Z

69

Complexity analysis of the turbulent environmental fluid flow time series  

E-Print Network (OSTI)

We have used the Kolmogorov complexities, sample and permutation entropies to quantify the randomness degree in river flow time series of two mountain rivers in Bosnia and Herzegovina, representing the turbulent environmental fluid, for the period 1926-1990. In particular, we have examined the monthly river flow time series from two rivers (Miljacka and Bosnia) in mountain part of their flow and then calculated the Kolmogorov Complexity (KL) based on the Lempel-Ziv Algorithm (LZA) (Lower - KLL and Upper - KLU), Sample Entropy (SE) and Permutation Entropy (PE) values for each time series. The results indicate that the KLL, KLU, SE and PE values in two rivers are close to each other regardless of the amplitude differences in their monthly flow rates. We have illustrated the changes in mountain river flow complexity by experiments using (i) the data set for the Bosnia River and (ii) anticipated human activities and projected climate changes. We have explored the sensitivity of considered measures in dependence on the length of time series. In addition, we have divided the period 1926-1990 into three sub-intervals: (a) 1926-1945, (b)1946-1965 and (c)1966-1990, and calculated the KLL, KLU, SE and PE values for the various time series in these sub-intervals. It is found that during the period 1946-1965, there is a decrease in their complexities, and corresponding changes in the SE and PE, in comparison to the period 1926-1990. This complexity loss may be primarily attributed to (i) human interventions, after Second World War, on these rivers because of their use for water consumption and (ii) climate change in recent time.

Dragutin T. Mihailovic; Emilija Nikolic-Djoric; Nusret Dreskovic; Gordan Mimic

2013-01-10T23:59:59.000Z

70

Extracting biochemical reaction kinetics from time series data  

E-Print Network (OSTI)

Abstract. We consider the problem of inferring kinetic mechanisms for biochemical reactions from time series data. Using a priori knowledge about the structure of chemical reaction kinetics we develop global nonlinear models which use elementary reactions as a basis set, and discuss model construction using top-down and bottom-up approaches. 1

Edmund J. Crampin; Patrick E. Mcsharry; Santiago Schnell

2004-01-01T23:59:59.000Z

71

Estimating the Correlation Dimension of Atmospheric Time Series  

Science Conference Proceedings (OSTI)

The correlation dimension D is commonly used to quantify the chaotic structure of atmospheric time series. The standard algorithm for estimating the value of D is based on finding the slope of the curve obtained by plotting ln C(r) versus ln r, ...

Hampton N. Shirer; Christian J. Fosmire; Robert Wells; Laurentia Suciu

1997-01-01T23:59:59.000Z

72

Investigating asymptotic properties of vector nonlinear time series models  

Science Conference Proceedings (OSTI)

Analyses and simulations of vector nonlinear time series typically run into weeks or even months because the methods used are computationally intensive. Statisticians have been known to base empirical results on a relatively small number of simulation ... Keywords: Dynamic loop scheduling, Vector FCAR models

Ioana Banicescu; Ricolindo L. CariO; Jane L. Harvill; John Patrick Lestrade

2011-09-01T23:59:59.000Z

73

Time series of count data: modeling, estimation and diagnostics  

Science Conference Proceedings (OSTI)

Various models for time series of counts which can account for discreteness, overdispersion and serial correlation are compared. Besides observation- and parameter-driven models based upon corresponding conditional Poisson distributions, a dynamic ordered ... Keywords: Efficient importance sampling, Markov chain Monte Carlo, Observation-driven model, Ordered probit, Parameter-driven model

Robert C. Jung; Martin Kukuk; Roman Liesenfeld

2006-12-01T23:59:59.000Z

74

Analyses of Inhomogeneities in Radiosonde Temperature and Humidity Time Series  

Science Conference Proceedings (OSTI)

Twice daily radiosonde data from selected stations in the United States (period 1948 to 1990) and China (period 1958 to 1990) were sorted into time series. These stations have one sounding taken in darkness and the other in sunlight. The analysis ...

Panmao Zhai; Robert E. Eskridge

1996-04-01T23:59:59.000Z

75

Distribution Based Data Filtering for Financial Time Series Forecasting  

E-Print Network (OSTI)

of stock prices, which aims to forecast the future values of the price of a stock, in order to obtain/selling strategies to gain competitive advantage. Classic and popular methods for stock price forecasting [3Distribution Based Data Filtering for Financial Time Series Forecasting Goce Ristanoski1 , James

Bailey, James

76

TaSe model for long term time series forecasting  

Science Conference Proceedings (OSTI)

There exists a wide range of paradigms and a high number of different methodologies applied to the problem of Time Series Prediction. Most of them are presented as a modified function approximation problem using I/O data, in which the input data is expanded ...

Luis Javier Herrera; Hctor Pomares; Ignacio Rojas; Alberto Guilln; Olga Valenzuela; Alberto Prieto

2005-06-01T23:59:59.000Z

77

Moored Salinity Time Series Measurements at 0, 140W  

Science Conference Proceedings (OSTI)

This study describes moored salinity time series measurements in a biologically productive equatorial upwelling regime in the Pacific Ocean (0, 140W). Data were collected at 26 m and at 100 m for 13 months during 19871988 using four SEACAT ...

Michael J. McPhaden; H. Paul Freitag; Andrew J. Shepherd

1990-08-01T23:59:59.000Z

78

National Ignition Campaign (NIC) Precision Tuning Series Shock Timing Experiments  

Science Conference Proceedings (OSTI)

A series of precision shock timing experiments have been performed on NIF. These experiments continue to adjust the laser pulse shape and employ the adjusted cone fraction (CF) in the picket (1st 2 ns of the laser pulse) as determined from the re-emit experiment series. The NIF ignition laser pulse is precisely shaped and consists of a series of four impulses, which drive a corresponding series of shock waves of increasing strength to accelerate and compress the capsule ablator and fuel layer. To optimize the implosion, they tune not only the strength (or power) but also, to sub-nanosecond accuracy, the timing of the shock waves. In a well-tuned implosion, the shock waves work together to compress and heat the fuel. For the shock timing experiments, a re-entrant cone is inserted through both the hohlraum wall and the capsule ablator allowing a direct optical view of the propagating shocks in the capsule interior using the VISAR (Velocity Interferometer System for Any Reflector) diagnostic from outside the hohlraum. To emulate the DT ice of an ignition capsule, the inside of the cone and the capsule are filled with liquid deuterium.

Robey, H F; Celliers, P M

2011-07-19T23:59:59.000Z

79

Faster and parameter-free discord search in quasi-periodic time series  

Science Conference Proceedings (OSTI)

Time series discord has proven to be a useful concept for time-series anomaly identification. To search for discords, various algorithms have been developed. Most of these algorithms rely on pre-building an index (such as a trie) for subsequences. Users ... Keywords: anomaly detection, minimax search, periodic time series, time series data mining, time series discord

Wei Luo; Marcus Gallagher

2011-05-01T23:59:59.000Z

80

CDIAC::Carbon Emission::Time Series Global Data  

NLE Websites -- All DOE Office Websites (Extended Search)

The 2013 version of this database presents a time series recording 1° The 2013 version of this database presents a time series recording 1° latitude by 1° longitude CO2 emissions in units of million metric tons of carbon per year from anthropogenic sources for 1751-2010. Detailed geographic information on CO2 emissions can be critical in understanding the pattern of the atmospheric and biospheric response to these emissions. Global, regional, and national annual estimates for 1751 through 2010 were published earlier (Boden et al. 2013). Those national, annual CO2 emission estimates were based on statistics about fossil-fuel burning, cement manufacturing and gas flaring in oil fields as well as energy production, consumption, and trade data, using the methods of Marland and Rotty (1984). The national annual estimates were combined with gridded 1° data on

Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Time Series, Stochastic Processes and Completeness of Quantum Theory  

Science Conference Proceedings (OSTI)

Most of physical experiments are usually described as repeated measurements of some random variables. Experimental data registered by on?line computers form time series of outcomes. The frequencies of different outcomes are compared with the probabilities provided by the algorithms of quantum theory (QT). In spite of statistical predictions of QT a claim was made that it provided the most complete description of the data and of the underlying physical phenomena. This claim could be easily rejected if some fine structures

2011-01-01T23:59:59.000Z

82

Complexity analysis of the UV radiation dose time series  

E-Print Network (OSTI)

We have used the Lempel-Ziv and sample entropy measures to assess the complexity in the UV radiation activity in the Vojvodina region (Serbia) for the period 1990-2007. In particular, we have examined the reconstructed daily sum (dose) of the UV-B time series from seven representative places in this region and calculated the Lempel-Ziv Complexity (LZC) and Sample Entropy (SE) values for each time series. The results indicate that the LZC values in some places are close to each other while in others they differ. We have devided the period 1990-2007 into two subintervals: (a) 1990-1998 and (b) 1999-2007 and calculated LZC and SE values for the various time series in these subintervals. It is found that during the period 1999-2007, there is a decrease in their complexities, and corresponding changes in the SE, in comparison to the period 1990-1998. This complexity loss may be attributed to increased (i) human intervention in the post civil war period (land and crop use and urbanization) and military activities i...

Mihailovic, Dragutin T

2013-01-01T23:59:59.000Z

83

Wind Power Plants and System Operation in the Hourly Time Domain: Preprint  

DOE Green Energy (OSTI)

Because wind is an intermittent power source, the variability may have significant impacts on system operation. Part of the difficulty of analyzing the load following impact of wind is the inadequacy of most modeling frameworks to accurately treat wind plants and the difficulty of untangling causal impacts of wind plants from other dynamic phenomena. This paper presents a simple analysis of an hourly load-following requirement that can be performed without extensive computer modeling. The approach is therefore useful as a first step to quantifying these impacts when extensive modeling and data sets are not available. The variability that wind plants add to the electricity supply must be analyzed in the context of overall system variability. The approach used in this paper does just that. The results show that wind plants do have an impact on load following, but when calculated as a percentage of the installed wind plant capacity, this impact is not large. Another issue is the extent to which wind forecast errors add to imbalance. The relative statistical independence of wind forecast errors and load forecast errors can be used to help quantify the extent to which wind forecast errors impact overall system imbalances.

Milligan, M.

2003-05-01T23:59:59.000Z

84

Classification of Multi-Dimensional Streaming Time Series by Weighting each Classifier's Track Record  

E-Print Network (OSTI)

increasingly, home-based) medical devices can produce time series streams from more than twenty sensors

Keogh, Eammon

85

Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations  

Science Conference Proceedings (OSTI)

A given observation in time series does not only depend on preceding one but also previous ones in general. Therefore, high order fuzzy time series approach might obtain better forecasts than does first order fuzzy time series approach. Defining fuzzy ... Keywords: Forecasting, Fuzzy relation, Fuzzy set, High order fuzzy time series, Neural networks

Cagdas H. Aladag; Murat A. Basaran; Erol Egrioglu; Ufuk Yolcu; Vedide R. Uslu

2009-04-01T23:59:59.000Z

86

A comparison study between fuzzy time series model and ARIMA model for forecasting Taiwan export  

Science Conference Proceedings (OSTI)

This study compares the application of two forecasting methods on the amount of Taiwan export, the ARIMA time series method and the fuzzy time series method. Models discussed for the fuzzy time series method include the Factor models, the Heuristic models, ... Keywords: ARIMA model, Fuzzy time series, Taiwan export

Chi-Chen Wang

2011-08-01T23:59:59.000Z

87

Multi-horizon solar radiation forecasting for Mediterranean locations using time series models  

E-Print Network (OSTI)

Considering the grid manager's point of view, needs in terms of prediction of intermittent energy like the photovoltaic resource can be distinguished according to the considered horizon: following days (d+1, d+2 and d+3), next day by hourly step (h+24), next hour (h+1) and next few minutes (m+5 e.g.). Through this work, we have identified methodologies using time series models for the prediction horizon of global radiation and photovoltaic power. What we present here is a comparison of different predictors developed and tested to propose a hierarchy. For horizons d+1 and h+1, without advanced ad hoc time series pre-processing (stationarity) we find it is not easy to differentiate between autoregressive moving average (ARMA) and multilayer perceptron (MLP). However we observed that using exogenous variables improves significantly the results for MLP . We have shown that the MLP were more adapted for horizons h+24 and m+5. In summary, our results are complementary and improve the existing prediction techniques ...

Voyant, Cyril; Muselli, Marc; Nivet, Marie Laure

2013-01-01T23:59:59.000Z

88

Time series power flow analysis for distribution connected PV generation.  

SciTech Connect

Distributed photovoltaic (PV) projects must go through an interconnection study process before connecting to the distribution grid. These studies are intended to identify the likely impacts and mitigation alternatives. In the majority of the cases, system impacts can be ruled out or mitigation can be identified without an involved study, through a screening process or a simple supplemental review study. For some proposed projects, expensive and time-consuming interconnection studies are required. The challenges to performing the studies are twofold. First, every study scenario is potentially unique, as the studies are often highly specific to the amount of PV generation capacity that varies greatly from feeder to feeder and is often unevenly distributed along the same feeder. This can cause location-specific impacts and mitigations. The second challenge is the inherent variability in PV power output which can interact with feeder operation in complex ways, by affecting the operation of voltage regulation and protection devices. The typical simulation tools and methods in use today for distribution system planning are often not adequate to accurately assess these potential impacts. This report demonstrates how quasi-static time series (QSTS) simulation and high time-resolution data can be used to assess the potential impacts in a more comprehensive manner. The QSTS simulations are applied to a set of sample feeders with high PV deployment to illustrate the usefulness of the approach. The report describes methods that can help determine how PV affects distribution system operations. The simulation results are focused on enhancing the understanding of the underlying technical issues. The examples also highlight the steps needed to perform QSTS simulation and describe the data needed to drive the simulations. The goal of this report is to make the methodology of time series power flow analysis readily accessible to utilities and others responsible for evaluating potential PV impacts.

Broderick, Robert Joseph; Quiroz, Jimmy Edward; Ellis, Abraham; Reno, Matthew J. [Georgia Institute of Technology, Atlanta, GA; Smith, Jeff [Electric Power Research Institute, Knoxville, TN; Dugan, Roger [Electric Power Research Institute, Knoxville, TN

2013-01-01T23:59:59.000Z

89

Nonparametric inference of quantile curves for nonstationary time series  

E-Print Network (OSTI)

The paper considers nonparametric specification tests of quantile curves for a general class of nonstationary processes. Using Bahadur representation and Gaussian approximation results for nonstationary time series, simultaneous confidence bands and integrated squared difference tests are proposed to test various parametric forms of the quantile curves with asymptotically correct type I error rates. A wild bootstrap procedure is implemented to alleviate the problem of slow convergence of the asymptotic results. In particular, our results can be used to test the trends of extremes of climate variables, an important problem in understanding climate change. Our methodology is applied to the analysis of the maximum speed of tropical cyclone winds. It was found that an inhomogeneous upward trend for cyclone wind speeds is pronounced at high quantile values. However, there is no trend in the mean lifetime-maximum wind speed. This example shows the effectiveness of the quantile regression technique.

Zhou, Zhou

2010-01-01T23:59:59.000Z

90

Simulation of wind-speed time series for wind-energy conversion analysis.  

DOE Green Energy (OSTI)

In order to investigate operating characteristics of a wind energy conversion system it is often desirable to have a sequential record of wind speeds. Sometimes a long enough actual data record is not available at the time an analysis is needed. This may be the case if, e.g., data are recorded three times a day at a candidate wind turbine site, and then the hourly performance of generated power is desired. In such cases it is often possible to use statistical characteristics of the wind speed data to calibrate a stochastic model and then generate a simulated wind speed time series. Any length of record may be simulated by this method, and desired system characteristics may be studied. A simple wind speed simulation model, WEISIM, is developed based on the Weibull probability distribution for wind speeds with a correction based on the lag-one autocorrelation value. The model can simulate at rates from one a second to one an hour, and wind speeds can represent short-term averages (e.g., 1-sec averages) or longer-term averages (e.g., 1-min or 1 hr averages). The validity of the model is verified with PNL data for both histogram characteristics and persistance characteristics.

Corotis, R.B.

1982-06-01T23:59:59.000Z

91

Improved forecasting of time series data of real system using genetic programming  

Science Conference Proceedings (OSTI)

A study is made to improve short term forecasting of time series data of real system using Genetic Programming (GP) under the framework of time delayed embedding technique. GP based approach is used to make analytical model of time series data of real ... Keywords: genetic programming, state-space reconstruction, time series forecasting

Dilip P. Ahalpara

2010-07-01T23:59:59.000Z

92

Independent arrays or independent time courses for gene expression time series data analysis  

Science Conference Proceedings (OSTI)

In this paper we apply three different independent component analysis (ICA) methods, including spatial ICA (sICA), temporal ICA (tICA), and spatiotemporal ICA (stICA), to gene expression time series data and compare their performance in clustering genes ... Keywords: DNA microarray, Gene expression data, Independent component analysis, Principal component analysis

Sookjeong Kim; Jong Kyoung Kim; Seungjin Choi

2008-06-01T23:59:59.000Z

93

Forecasting Financial Time-Series using Artificial Market Models  

E-Print Network (OSTI)

We discuss the theoretical machinery involved in predicting financial market movements using an artificial market model which has been trained on real financial data. This approach to market prediction - in particular, forecasting financial time-series by training a third-party or 'black box' game on the financial data itself -- was discussed by Johnson et al. in cond-mat/0105303 and cond-mat/0105258 and was based on some encouraging preliminary investigations of the dollar-yen exchange rate, various individual stocks, and stock market indices. However, the initial attempts lacked a clear formal methodology. Here we present a detailed methodology, using optimization techniques to build an estimate of the strategy distribution across the multi-trader population. In contrast to earlier attempts, we are able to present a systematic method for identifying 'pockets of predictability' in real-world markets. We find that as each pocket closes up, the black-box system needs to be 'reset' - which is equivalent to sayi...

Gupta, N; Johnson, N F; Gupta, Nachi; Hauser, Raphael; Johnson, Neil F.

2005-01-01T23:59:59.000Z

94

Estimating the predictability of economic and financial time series  

E-Print Network (OSTI)

The predictability of a time series is determined by the sensitivity to initial conditions of its data generating process. In this paper our goal is to characterize this sensitivity from a finite sample by assuming few hypotheses on the data generating model structure. In order to measure the distance between two trajectories induced by a same noisy chaotic dynamic from two close initial conditions, a symmetric Kullback-Leiber divergence measure is used. Our approach allows to take into account the dependence of the residual variance on initial conditions. We show it is linked to a Fisher information matrix and we investigated its expressions in the cases of covariance-stationary processes and ARCH($\\infty$) processes. Moreover, we propose a consistent non-parametric estimator of this sensitivity matrix in the case of conditionally heteroscedastic autoregressive nonlinear processes. Various statistical hypotheses can so be tested as for instance the hypothesis that the data generating process is "almost" independently distributed at a given moment. Applications to simulated data and to the stock market index S&P500 illustrate our findings. More particularly, we highlight a significant relationship between the sensitivity to initial conditions of the daily returns of the S&P 500 and their volatility.

Quentin Giai Gianetto; Jean-Marc Le Caillec; Erwan Marrec

2012-12-12T23:59:59.000Z

95

An Algorithm for Classification and Outlier Detection of Time-Series Data  

Science Conference Proceedings (OSTI)

An algorithm to perform outlier detection on time-series data is developed, the intelligent outlier detection algorithm (IODA). This algorithm treats a time series as an image and segments the image into clusters of interest, such as nominal ...

R. Andrew Weekley; Robert K. Goodrich; Larry B. Cornman

2010-01-01T23:59:59.000Z

96

The Application of Time Series Models to Cloud Field Morphology Analysis  

Science Conference Proceedings (OSTI)

A modeling method for the quantitative description of remotely sensed cloud field images is presented. A two-dimensional texture modeling scheme based on one-dimensional time series procedures is adopted for this purpose. The time series ...

Roland T. Chin; Jack Y. C. Jau; James A. Weinman

1987-03-01T23:59:59.000Z

97

Multi-Scale Kernel Latent Variable Models for Nonlinear Time Series Pattern Matching  

Science Conference Proceedings (OSTI)

In this paper we propose a method for nonlinear time series pattern matching: "Multi-Scale Kernel Latent Variable (MSKLV) models". The pattern matching methodology includes multi-scale analysis using wavelet decomposition of time series and finding latent ...

B. Venkataramana Kini; C. Chandra Sekhar

2008-01-01T23:59:59.000Z

98

Bermudas Tale of Two Time Series: Hydrostation S and BATS  

Science Conference Proceedings (OSTI)

This paper describes the oceanic variability at Bermuda between 1989 and 1999, recorded in two overlapping hydrographic time series. Station S and Bermuda Atlantic Time Series Study (BATS), which are 60 km apart, both show that a multidecadal ...

Helen E. Phillips; Terrence M. Joyce

2007-03-01T23:59:59.000Z

99

Regime-Dependent Autoregressive Time Series Modeling of the Southern Oscillation  

Science Conference Proceedings (OSTI)

The class of regime dependent autoregressive time series models (RAMs) is introduced. These nonlinear models describe variations of the moments of nonstationary time series by allowing parameter values to change with the state of an ancillary ...

Francis Zwiers; Hans Von Storch

1990-12-01T23:59:59.000Z

100

A hybrid neural network and ARIMA model for water quality time series prediction  

Science Conference Proceedings (OSTI)

Accurate predictions of time series data have motivated the researchers to develop innovative models for water resources management. Time series data often contain both linear and nonlinear patterns. Therefore, neither ARIMA nor neural networks can be ... Keywords: ARIMA, Backpropagation, Hybrid model, Neural networks, Time series

Durdu mer Faruk

2010-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

VTG schemes for using back propagation for multivariate time series prediction  

Science Conference Proceedings (OSTI)

This research proposes the three schemes of estimating and adding mid-terms to multivariate time series. In this research, the back propagation is adopted as the approach to multivariate time series prediction. It is traditionally designed for the task ... Keywords: Multivariate time series prediction, Neural networks, Virtual terms

Taeho Jo

2013-05-01T23:59:59.000Z

102

Optimizing the extreme learning machine using harmony search for hydrologic time series forecasting  

Science Conference Proceedings (OSTI)

Lately, the research related to time series forecasting has been an area of considerable interest in different fields. It is very important to predict the behavior of the time series but it is not an easy task. Several models to aim this issue have been ... Keywords: extreme learning machine, harmony search, hybrid intelligent system, time series forecasting

Ivna Valena; Muser Valena

2012-08-01T23:59:59.000Z

103

An adaptive algorithm for online time series segmentation with error bound guarantee  

Science Conference Proceedings (OSTI)

The volume of time series data grows rapidly in various applications such as network traffic management, telecommunications, finance and sensor network. To reduce the cost of storage, transmission and processing of time series data, the need for more ... Keywords: approximation, segmentation, time series

Zhenghua Xu; Rui Zhang; Ramamohanarao Kotagiri; Udaya Parampalli

2012-03-01T23:59:59.000Z

104

Univariate modeling and forecasting of monthly energy demand time series using abductive and neural networks  

Science Conference Proceedings (OSTI)

Neural networks have been widely used for short-term, and to a lesser degree medium and long-term, demand forecasting. In the majority of cases for the latter two applications, multivariate modeling was adopted, where the demand time series is related ... Keywords: Abductive networks, Energy demand, Medium-term load forecasting, Neural networks, Time series forecasting, Univariate time series analysis

R. E. Abdel-Aal

2008-05-01T23:59:59.000Z

105

Bayesian Variable Selection for Nowcasting Economic Time Series  

E-Print Network (OSTI)

motivation Want to use Google Trends data to nowcast economic series unemployment may be predicted by "job;Avoid spurious regression How to control for trend and seasonality? Build a model for the predictable-chosen contemporaneous regressors from Google Trends non-seasonal AR1: yt = a1yt-1 + bxt + et seasonal AR1: yt = a1yt-1

Varian, Hal R.

106

Stylized facts of financial time series and hidden semi-Markov models  

Science Conference Proceedings (OSTI)

Hidden Markov models reproduce most of the stylized facts about daily series of returns. A notable exception is the inability of the models to reproduce one ubiquitous feature of such time series, namely the slow decay in the autocorrelation function ... Keywords: Daily return series, EM algorithm, Hidden Markov model, Hidden semi-Markov model, Right-censoring, Sojourn time distribution

Jan Bulla; Ingo Bulla

2006-12-01T23:59:59.000Z

107

Double SOM for long-term time series prediction Geoffroy Simon1  

E-Print Network (OSTI)

-term prediction, self-organizing maps, Santa Fe, electrical load Abstract --- Many time series forecasting, the Santa Fe A series and a problem of electrical load forecasting. 2 Time series prediction The classical in one bloc, rather than a single t+1 scalar value. For example, in an electrical load forecasting

Paris-Sud XI, Université de

108

SumTime-Turbine: A Knowledge-Based System to Communicate Gas Turbine Time-Series Data  

E-Print Network (OSTI)

SumTime-Turbine: A Knowledge-Based System to Communicate Gas Turbine Time-Series Data Jin Yu produces textual summaries of archived time- series data from gas turbines. These summaries should help evaluated. 1 Introduction In order to get the most out of gas turbines, TIGER [2] has been developed

Reiter, Ehud

109

Generation of an Hourly Meteorological Time Series for an Alpine Basin in British Columbia for Use in Numerical Hydrologic Modeling  

Science Conference Proceedings (OSTI)

Spatially distributed numerical hydrologic models are useful tools for examining the long-term impact of forest harvesting in mountainous basins on streamflow regime properties. Such models require the input of long-duration subdaily ...

Markus Schnorbus; Younes Alila

2004-10-01T23:59:59.000Z

110

Long-term time series prediction with the NARX network: An empirical evaluation  

Science Conference Proceedings (OSTI)

The NARX network is a dynamical neural architecture commonly used for input-output modeling of nonlinear dynamical systems. When applied to time series prediction, the NARX network is designed as a feedforward time delay neural network (TDNN), i.e., ... Keywords: Chaotic time series, Long-term prediction, NARX neural network, Nonlinear traffic modeling, Recurrence plot

Jos Maria P. Menezes, Jr.; Guilherme A. Barreto

2008-10-01T23:59:59.000Z

111

Different Approaches to Forecast Interval Time Series: A Comparison in Finance  

Science Conference Proceedings (OSTI)

An interval time series (ITS) is a time series where each period is described by an interval. In finance, ITS can describe the temporal evolution of the high and low prices of an asset throughout time. These price intervals are related to the concept ... Keywords: Artificial neural networks, Exponential smoothing, Interval arithmetic, Interval data, Nearest neighbors methods, Vector autoregressive models

Javier Arroyo; Rosa Espnola; Carlos Mat

2011-02-01T23:59:59.000Z

112

Six-Week Time Series Of Eddy Covariance Co2 Flux At Mammoth Mountain...  

Open Energy Info (EERE)

Six-Week Time Series Of Eddy Covariance Co2 Flux At Mammoth Mountain, California- Performance Evaluation And Role Of Meteorological Forcing Jump to: navigation, search GEOTHERMAL...

113

Approximate k-NN delta test minimization method using genetic algorithms: Application to time series  

Science Conference Proceedings (OSTI)

In many real world problems, the existence of irrelevant input variables (features) hinders the predictive quality of the models used to estimate the output variables. In particular, time series prediction often involves building large regressors of ... Keywords: Approximate k-nearest neighbors, Delta test, Genetic algorithm, Time series, Variable projection, Variable scaling, Variable selection

Fernando Mateo; Duan Sovilj; Rafael Gadea

2010-06-01T23:59:59.000Z

114

A test for second order stationarity of a time series based on the Discrete Fourier Transform  

E-Print Network (OSTI)

A test for second order stationarity of a time series based on the Discrete Fourier Transform property, we construct a Portmanteau type test statistic for testing stationarity of the time series. It is shown that under the null of stationarity, the test statistic is approximately a chi square distribution

Subba Rao, Suhasini

115

Classification of Multivariate Time Series and Structured Data Using Constructive Induction  

Science Conference Proceedings (OSTI)

We present a method of constructive induction aimed at learning tasks involving multivariate time series data. Using metafeatures, the scope of attribute-value learning is expanded to domains with instances that have some kind of recurring substructure, ... Keywords: constructive induction, propositionalisation, substructure, time series

Mohammed Waleed Kadous; Claude Sammut

2005-02-01T23:59:59.000Z

116

Identification of time series model of heat demand using mathematica environment  

Science Conference Proceedings (OSTI)

The paper presents possibility of model design of time series of heat demand course. The course of heat demand and heat consumption can be demonstrated by means of heat demand diagrams. The most important one is the Daily Diagram of Heat Supply (DDHS) ... Keywords: box-jenkins, control algorithms, district heating control, modelling, prediction, time series analysis

Bronislav Chramcov

2011-05-01T23:59:59.000Z

117

Comparing statistical and neural network approaches for urban air pollution time series analysis  

Science Conference Proceedings (OSTI)

The paper presents an analysis of the performances obtained by using an artificial neural networks model and several statistical models for urban air quality forecasting. The time series of monthly averages concentrations (Sedimentable Dusts, Total Suspended ... Keywords: ARIMA, back-propagation, feed-forward neural network, statistical models, time series, urban air quality

Daniel Dunea; Mihaela Oprea; Emil Lungu

2008-02-01T23:59:59.000Z

118

On the Average Value of Correlated Time Series, with Applications in Dendroclimatology and Hydrometeorology  

Science Conference Proceedings (OSTI)

In a number of areas of applied climatology, time series are either averaged to enhance a common underlying signal or combined to produce area averages. How well, then, does the average of a finite number (N) of time series represent the ...

T. M. L. Wigley; K. R. Briffa; P. D. Jones

1984-02-01T23:59:59.000Z

119

Aggregation of asynchronous electric power consumption time series knowing the integral  

Science Conference Proceedings (OSTI)

More and more data mining algorithms are applied to a large number of long time series issued by many distributed sensors. The consequence of the huge volume of data is that data warehouses often contain asynchronous time series, i.e. the values have ...

Raja Chiky; Laurent Decreusefond; Georges Hbrail

2010-03-01T23:59:59.000Z

120

Hybridization of intelligent techniques and ARIMA models for time series prediction  

Science Conference Proceedings (OSTI)

Traditionally, the autoregressive moving average (ARMA) model has been one of the most widely used linear models in time series prediction. Recent research activities in forecasting with artificial neural networks (ANNs) suggest that ANNs can be a promising ... Keywords: ARIMA models, Fuzzy systems, Hybrid system, Neural networks, Time series

O. Valenzuela; I. Rojas; F. Rojas; H. Pomares; L. J. Herrera; A. Guillen; L. Marquez; M. Pasadas

2008-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Lean Blow-Out Prediction in Gas Turbine Combustors Using Symbolic Time Series Analysis  

E-Print Network (OSTI)

Lean Blow-Out Prediction in Gas Turbine Combustors Using Symbolic Time Series Analysis Achintya of lean blowout in gas turbine combustors based on symbolic analysis of time series data from optical. For the purpose of detecting lean blowout in gas turbine combustors, the state probability vector obtained

Ray, Asok

122

EOFs of One-Dimensional Cyclostationary Time Series: Computations, Examples, and Stochastic Modeling  

Science Conference Proceedings (OSTI)

Many climatic time series seem to be a mixture of unpredictable fluctuations and changes that occur at a known frequency, as in the case of the annual cycle. Such a time series is called a cyclostationary process. The lagged covariance statistics ...

Kwang-Y. Kim; Gerald R. North; Jianping Huang

1996-04-01T23:59:59.000Z

123

Fast algorithms for time series with applications to finance, physics, music, biology, and other suspects  

Science Conference Proceedings (OSTI)

Financial time series streams are watched closely by millions of traders. What exactly do they look for and how can we help them do it faster? Physicists study the time series emerging from their sensors. The same question holds for them. Musicians produce ...

Alberto Lerner; Dennis Shasha; Zhihua Wang; Xiaojian Zhao; Yunyue Zhu

2004-06-01T23:59:59.000Z

124

Mining pixel evolutions in satellite image time series for agricultural monitoring  

Science Conference Proceedings (OSTI)

In this paper, we present a technique to help the experts in agricultural monitoring, by mining Satellite Image Time Series over cultivated areas. We use frequent sequential patterns extended to this spatiotemporal context in order to extract sets of ... Keywords: agricultural monitoring, constraints, satellite image time series, spatiotemporal patterns

Andreea Julea; Nicolas Mger; Christophe Rigotti; Emmanuel Trouv; Philippe Bolon; Vasile L?z?rescu

2011-08-01T23:59:59.000Z

125

Time Series Prediction of Mining Subsidence Based on Genetic Algorithm Neural Network  

Science Conference Proceedings (OSTI)

In order to find out the dynamics law of underground coal mining subsidence, BP neural network was used for time series prediction. First, genetic algorithm was used to optimize the initial network weight to overcome the inherent defects of BP neural ... Keywords: Mining subsidence, time series, BP neural network, genetic algorithm

Peixian Li; Zhixiang Tan; Lili Yan; Kazhong Deng

2011-07-01T23:59:59.000Z

126

Defining and applying prediction performance metrics on a recurrent NARX time series model  

Science Conference Proceedings (OSTI)

Nonlinear autoregressive moving average with exogenous inputs (NARMAX) models have been successfully demonstrated for modeling the input-output behavior of many complex systems. This paper deals with the proposition of a scheme to provide time series ... Keywords: NARX models, Prediction performance metrics, Recurrent radial basis function network, Time series prediction

Ryad Zemouri; Rafael Gouriveau; Noureddine Zerhouni

2010-08-01T23:59:59.000Z

127

Fast and exact synthesis of stationary multivariate Gaussian time series using circulant embedding  

Science Conference Proceedings (OSTI)

A fast and exact procedure for the numerical synthesis of stationary multivariate Gaussian time series with a priori prescribed and well controlled auto- and cross-covariance functions is proposed. It is based on extending the circulant embedding technique ... Keywords: Circulant embedding, Multivariate Gaussian series, Numerical synthesis, Stationarity, Time-reversibility

Hannes Helgason; Vladas Pipiras; Patrice Abry

2011-05-01T23:59:59.000Z

128

Discovery of temporal variation of arsenic in a historical blackfoot disease territory by time series analysis  

Science Conference Proceedings (OSTI)

Time series analysis is useful tool for extracting interesting pattern from ordered sequence of observations. The Chianan Blackfoot disease region was selected as study area, and the monitoring data of arsenic in groundwater during the period of 2003 ... Keywords: arsenic, data mining, groundwater management, time series analysis, water quality

Jan-Yee Lee; Ting-Nien Wu

2009-08-01T23:59:59.000Z

129

Discovery of Temporal Variation of Arsenic in a Historical Blackfoot Disease Territory by Time Series Analysis  

Science Conference Proceedings (OSTI)

Time series analysis is useful tool for extracting interesting pattern from ordered sequence of observations. The Chianan Blackfoot disease region was selected as study area, and the monitoring data of arsenic in groundwater during the period of 2003 ... Keywords: groundwater management, data mining, time series analysis, arsenic, water quality

Jan-Yee Lee; Ting-Nien Wu

2009-08-01T23:59:59.000Z

130

A geometrical solution to time series searching invariant to shifting and scaling  

Science Conference Proceedings (OSTI)

The technique of searching for similar patterns among time series data is very useful in many applications. The problem becomes difficult when shifting and scaling are considered. We find that we can treat the problem geometrically and the major contribution ... Keywords: information search and retrieval, similarity search, spatial indexing, time series database

Mi Zhou; Man-Hon Wong; Kam-Wing Chu

2006-02-01T23:59:59.000Z

131

A novel hybridization of artificial neural networks and ARIMA models for time series forecasting  

Science Conference Proceedings (OSTI)

Improving forecasting especially time series forecasting accuracy is an important yet often difficult task facing decision makers in many areas. Both theoretical and empirical findings have indicated that integration of different models can be an effective ... Keywords: Artificial neural networks (ANNs), Auto-regressive integrated moving average (ARIMA), Hybrid models, Time series forecasting

Mehdi Khashei; Mehdi Bijari

2011-03-01T23:59:59.000Z

132

A prediction method for time series based on wavelet neural networks  

Science Conference Proceedings (OSTI)

This paper introduces a prediction method for time series that is based on the multi-resolution analysis of wavelets (MRA). The MRA is better able to decompose the non-stationary time series of nonlinear systems into different components, allowing a ...

Xiaobing Gan; Ying Liu; Francis R. Austin

2005-12-01T23:59:59.000Z

133

Statistical properties of information flow in financial time series  

E-Print Network (OSTI)

In this study, we tested possible factors that influence the information flow in the stock market. The time dependency, market factors, and market status were assessed using the Korean and US stock market data. We determined that all tested factors were significantly related to the information flow between stocks. Additionally, we have employed an original network consisting of stocks and networks by the minimal spanning tree (MST) method, in order to find a alternative method by which we could effectively investigate the characteristics of information flow between stocks. The empirical evidences gathered using $N-1$ links by the MST method did not differ when $N(N-1)/2$ whole links by the original network were used. These results indicate that links selected via the MST method may be reflective of meaningful characteristics of information flow between stocks in the market.

Eom, Cheoljun; Jung, Woo-Sung

2008-01-01T23:59:59.000Z

134

Engine Control Improvement through Application of Chaotic Time Series Analysis  

SciTech Connect

The objective of this program was to investigate cyclic variations in spark-ignition (SI) engines under lean fueling conditions and to develop options to reduce emissions of nitrogen oxides (NOx) and particulate matter (PM) in compression-ignition direct-injection (CIDI) engines at high exhaust gas recirculation (EGR) rates. The CIDI activity builds upon an earlier collaboration between ORNL and Ford examining combustion instabilities in SI engines. Under the original CRADA, the principal objective was to understand the fundamental causes of combustion instability in spark-ignition engines operating with lean fueling. The results of this earlier activity demonstrated that such combustion instabilities are dominated by the effects of residual gas remaining in each cylinder from one cycle to the next. A very simple, low-order model was developed that explained the observed combustion instability as a noisy nonlinear dynamical process. The model concept lead to development of a real-time control strategy that could be employed to significantly reduce cyclic variations in real engines using existing sensors and engine control systems. This collaboration led to the issuance of a joint patent for spark-ignition engine control. After a few years, the CRADA was modified to focus more on EGR and CIDI engines. The modified CRADA examined relationships between EGR, combustion, and emissions in CIDI engines. Information from CIDI engine experiments, data analysis, and modeling were employed to identify and characterize new combustion regimes where it is possible to simultaneously achieve significant reductions in NOx and PM emissions. These results were also used to develop an on-line combustion diagnostic (virtual sensor) to make cycle-resolved combustion quality assessments for active feedback control. Extensive experiments on engines at Ford and ORNL led to the development of the virtual sensor concept that may be able to detect simultaneous reductions in NOx and PM emissions under low temperature combustion (LTC) regimes. An invention disclosure was submitted to ORNL for the virtual sensor under the CRADA. Industrial in-kind support was available throughout the project period. Review of the research results were carried out on a regular basis (annual reports and meetings) followed by suggestions for improvement in ongoing work and direction for future work. A significant portion of the industrial support was in the form of experimentation, data analysis, data exchange, and technical consultation.

Green, J.B., Jr.; Daw, C.S.

2003-07-15T23:59:59.000Z

135

Use of a Principal Components Analysis for the Generation of Daily Time Series  

Science Conference Proceedings (OSTI)

A new approach for generating daily time series is considered in response to the weather-derivatives market. This approach consists of performing a principal components analysis to create independent variables, the values of which are then ...

Christine Dreveton; Yann Guillou

2004-07-01T23:59:59.000Z

136

A New StatisticalDynamical Downscaling Procedure Based on EOF Analysis for Regional Time Series Generation  

Science Conference Proceedings (OSTI)

A new statisticaldynamical downscaling procedure is developed and then applied to high-resolution (regional) time series generation and wind resource assessment. The statistical module of the new procedure uses empirical orthogonal function (EOF) ...

Yosvany Martinez; Wei Yu; Hai Lin

2013-04-01T23:59:59.000Z

137

High performance data mining in time series: techniques and case studies  

Science Conference Proceedings (OSTI)

As extremely large time series data sets grow more prevalent in a wide variety of settings, we face the significant challenge of developing efficient analysis methods. This dissertation addresses the problem in designing fast, scalable algorithms for ...

Yunyue Zhu / Dennis Shasha

2004-01-01T23:59:59.000Z

138

Kernel Auto-Regressive Model with eXogenous Inputs for Nonlinear Time Series Prediction  

Science Conference Proceedings (OSTI)

In this paper we present a novel approach for nonlinear time series prediction using Kernel methods. The kernel methods such as Support Vector Machine(SVM) and Support Vector Regression(SVR) deal with nonlinear problems assuming independent and identically ...

Venkataramana B. Kini; C. Chandra Sekhar

2007-03-01T23:59:59.000Z

139

Inferring mechanism from time-series data: Delay-differential equations  

E-Print Network (OSTI)

D 110 (1997) 182194 Fig. 3. ACF of the residual errors ofautocorrelation function (ACF) as the diagnostic for non-autocorrelation function (ACF) of the residual time series.

Ellner, Stephen Paul; Kendall, Bruce E.; Wood, Simon N.; McCauley, Ed; Briggs, Cheryl J

1997-01-01T23:59:59.000Z

140

A Nonparametric Approach to the Removal of Documented Inhomogeneities in Climate Time Series  

Science Conference Proceedings (OSTI)

Climate data often suffer from artificial inhomogeneities, resulting from documented or undocumented events. For a time series to be used with confidence in climate analysis, it should only be characterized by variations intrinsic to the climate ...

Chiara Ambrosino; Richard E. Chandler

2013-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Climate Signal Detection Using Wavelet Transform: How to Make a Time Series Sing  

Science Conference Proceedings (OSTI)

In this paper, the application of the wavelet transform (WT) to climate time series analyses is introduced. A tutorial description of the basic concept of WT compared with similar concepts used in music, is also provided. Using an analogy between ...

K-M. Lau; Hengyi Weng

1995-12-01T23:59:59.000Z

142

Prediction of long-range dependent time series data with performance guarantee  

Science Conference Proceedings (OSTI)

Modelling and predicting long-range dependent time series data can find important and practical applications in many areas such as telecommunications and finance. In this paper, we consider Fractional Autoregressive Integrated Moving Average (FARIMA) ...

Mikhail Dashevskiy; Zhiyuan Luo

2009-10-01T23:59:59.000Z

143

Trend Change Detection in NDVI Time Series: Effects of Inter-Annual Variability and Methodology  

E-Print Network (OSTI)

Abstract: Changing trends in ecosystem productivity can be quantified using satellite observations of Normalized Difference Vegetation Index (NDVI). However, the estimation of trends from NDVI time series differs substantially depending on analyzed satellite dataset, the corresponding spatiotemporal resolution, and the applied statistical method. Here we compare the performance of a wide range of trend estimation methods and demonstrate that performance decreases with increasing inter-annual variability in the NDVI time series. Trend slope estimates based on annual aggregated time series or based on a seasonal-trend model show better performances than methods that remove the seasonal cycle of the time series. A breakpoint detection analysis reveals that an overestimation of breakpoints in NDVI trends can result in wrong or even opposite trend estimates. Based on our results, we give practical recommendations for the application of trend methods on long-term NDVI time series. Particularly, we apply and compare different methods on NDVI time series in Alaska, where both greening and browning trends have been previously observed. Here, the multi-method uncertainty of NDVI trendsRemote Sens. 2013, 5 2114

Matthias Forkel; Nuno Carvalhais; Jan Verbesselt; Miguel D. Mahecha; Christopher S. R. Neigh; Markus Reichstein

2013-01-01T23:59:59.000Z

144

Superstatistical fluctuations in time series: applications to share price dynamics and turbulence  

E-Print Network (OSTI)

We introduce a general technique to study whether a given experimental time series is superstatistical. Crucial for the applicability of the superstatistics concept is the existence of a parameter $\\beta$ that fluctuates on a large time scale as compared to the other time scales of the complex system under consideration. The proposed method extracts the main superstatistical parameters out of a given data set and checks the validity of the superstatistical model assumptions. We test the method thoroughly with surrogate data sets. Then the applicability of the superstatistical approach is illustrated using real experimental data. We study two examples, velocity time series measured in turbulent Taylor-Couette flows and time series of log-returns of the closing prices of some stock market indices.

Van der Straeten, Erik

2009-01-01T23:59:59.000Z

145

Automatic Detection of Geomagnetic Jerks by Applying a Statistical Time Series Model  

E-Print Network (OSTI)

Automatic Detection of Geomagnetic Jerks by Applying a Statistical Time Series Model to Geomagnetic@ism.ac.jp 3 Data Analysis Center for Geomagnetism and Space Magnetism, Graduate School of Science, Kyoto. A geomagnetic jerk is de#12;ned as a sudden change in the trend of the time derivative of geomagnetic secular

Higuchi, Tomoyuki

146

Six-Week Time Series Of Eddy Covariance Co2 Flux At Mammoth Mountain,  

Open Energy Info (EERE)

Six-Week Time Series Of Eddy Covariance Co2 Flux At Mammoth Mountain, Six-Week Time Series Of Eddy Covariance Co2 Flux At Mammoth Mountain, California- Performance Evaluation And Role Of Meteorological Forcing Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Six-Week Time Series Of Eddy Covariance Co2 Flux At Mammoth Mountain, California- Performance Evaluation And Role Of Meteorological Forcing Details Activities (1) Areas (1) Regions (0) Abstract: CO2 and heat fluxes were measured over a six-week period (09/08/2006 to 10/24/2006) by the eddy covariance (EC) technique at the Horseshoe Lake tree kill (HLTK), Mammoth Mountain, CA, a site with complex terrain and high, spatially heterogeneous CO2 emission rates. EC CO2 fluxes ranged from 218 to 3500 g m- 2 d- 1 (mean = 1346 g m- 2 d- 1). Using footprint modeling, EC CO2 fluxes were compared to CO2 fluxes measured by

147

Characterization of nonlinear input-output systems using time series analysis  

Science Conference Proceedings (OSTI)

Data obtained from time series analysis has been used for a number of years for the characterization and response prediction of linear systems. This paper describes a time series technique for the analysis of nonlinear systems through the use of embeddings using delay coordinates or appropriate transformations of delay coordinates (local singular value decomposition or local canonical variate analysis). Local linear approaches are used to characterize the state evolution. Application of the technique is illustrated for a single degree of freedom oscillator with nonlinear stiffness, a mechanical chaos beam, and a climatic data time series. In each application analysis from measured data is emphasized. State rank, lyapunov exponents, and expected iterated prediction errors are quantified. The technique illustrated should be useful in the analysis of many forms of experimental data, especially where the state rank is not excessively large. 8 refs., 6 figs.

Hunter, N.F.; Theiler, J.

1991-01-01T23:59:59.000Z

148

TIME SERIES MODELS OF THREE SETS OF RXTE OBSERVATIONS OF 4U 1543-47  

SciTech Connect

The X-ray nova 4U 1543-47 was in a different physical state (low/hard, high/soft, and very high) during the acquisition of each of the three time series analyzed in this paper. Standard time series models of the autoregressive moving average (ARMA) family are fitted to these series. The low/hard data can be adequately modeled by a simple low-order model with fixed coefficients, once the slowly varying mean count rate has been accounted for. The high/soft series requires a higher order model, or an ARMA model with variable coefficients. The very high state is characterized by a succession of 'dips', with roughly equal depths. These seem to appear independently of one another. The underlying stochastic series can again be modeled by an ARMA form, or roughly as the sum of an ARMA series and white noise. The structuring of each model in terms of short-lived aperiodic and 'quasi-periodic' components is discussed.

Koen, C. [Department of Statistics, University of the Western Cape, Private Bag X17, Bellville, 7535 Cape (South Africa)] [Department of Statistics, University of the Western Cape, Private Bag X17, Bellville, 7535 Cape (South Africa)

2013-03-01T23:59:59.000Z

149

Statistical and Multifractal Properties of the Time Series Generated by a Modified Minority Game  

E-Print Network (OSTI)

In this paper it was developed a modification of the known multiagent model Minority Game, designed to simulate the behavior of traders in financial markets and the resulting price dynamics on the abstract resource. The model was implemented in the form of software. The modified version of Minority Game was investigated with the aim of reproducing the basic properties of real financial time series. It was proved that such properties as the clustering of volatility, the Levy distribution and multifractality are inherent for generated by this version of the Minority Game time series of prices.

Kuperin, Yu A

2010-01-01T23:59:59.000Z

150

Multifractal analysis of stress time series during ultrathin lubricant film melting  

E-Print Network (OSTI)

Melting of an ultrathin lubricant film confined between two atomically flat surfaces is we studied using the rheological model for viscoelastic matter approximation. Phase diagram with domains, corresponding to sliding, dry, and two types of $stick-slip$ friction regimes has been built taking into account additive noises of stress, strain, and temperature of the lubricant. The stress time series have been obtained for all regimes of friction using the Stratonovich interpretation. It has been shown that self-similar regime of lubricant melting is observed when intensity of temperature noise is much larger than intensities of strain and stress noises. This regime is defined by homogenous distribution, at which characteristic stress scale is absent. We study stress time series obtained for all friction regimes using multifractal detrended fluctuation analysis. It has been shown that multifractality of these series is caused by different correlations that are present in the system and also by a power-law distribu...

Khomenko, A V; Borisyuk, V N; 10.1142/S0219477510000046

2010-01-01T23:59:59.000Z

151

A new measure of phase synchronization for a pair of time series and seizure focus localization  

E-Print Network (OSTI)

Defining and measuring phase synchronization in a pair of nonlinear time series are highly nontrivial. This can be done with the help of Fourier transform, when it exists, for a pair of stored (hence stationary) signals. In a time series instantaneous phase is often defined with the help of Hilbert transform. In this paper phase of a time series has been defined with the help of Fourier transform. This gives rise to a deterministic method to detect phase synchronization in its most general form between a pair of time series. Since this is a stricter method than the statistical methods based on instantaneous phase, this can be used for lateralization and source localization of epileptic seizures with greater accuracy. Based on this method a novel measure of phase synchronization, called syn function, has been defined, which is capable of quantifying neural phase synchronization and asynchronization as important parameters of epileptic seizure dynamics. It has been shown that such a strict measure of phase synchronization has potential application in seizure focus localization from scalp electroencephalogram (EEG) data, without any knowledge of electrical conductivity of the head.

Kaushik Majumdar

2006-12-13T23:59:59.000Z

152

Automatic Mapping of Social Networks of Actors from Text Corpora: Time Series Analysis  

Science Conference Proceedings (OSTI)

To illustrate the WORDij approach to automatic social network identification from large volumes of text, this research mined the social networks among President Clintons cabinet members (n=24)and also President G.W. Bushs cabinet members ... Keywords: Time Series Data Mining

James A. Danowski; Noah T. Cepela

2009-07-01T23:59:59.000Z

153

An automated pipeline for asteroseismology based on the autocorrelation of stellar time series  

E-Print Network (OSTI)

The autocorrelation of an asteroseismic time series has been identified as a powerful tool capable of providing measurements of the large frequency separations. The performance of this method has been assessed and quantified by Mosser & Appourchaux (2009). We propose now an automated pipeline based on it and describe its performance.

Mosser, Benoit

2010-01-01T23:59:59.000Z

154

VBR MPEG Video Traffic Dynamic Prediction Based on the Modeling and Forecast of Time Series  

Science Conference Proceedings (OSTI)

The variable-bit-rate traffic characteristic brings a large complication to the utilization of network resources, especially bandwidth. To solve this problem, this paper proposes a dynamic prediction scheme of MPEG video traffic. We first advance an ... Keywords: MPEG, video trace, forecast, time series, ARMA

Jun Dai; Jun Li

2009-08-01T23:59:59.000Z

155

Spectral analysis of microarray gene expression time series data of Plasmodium falciparum  

Science Conference Proceedings (OSTI)

We propose a new strategy to analyse the periodicity of gene expression profiles using Singular Spectrum Analysis (SSA) and Autoregressive (AR) model based spectral estimation. By combining the advantages of SSA and AR modelling, more ... Keywords: SSA, autoregressive spectral estimation model, bioinformatics, drug discovery, gene expression profiles, gene target, microarray time series analysis, plasmodium falciparum, singular spectrum analysis

Liping Du; Shuanhu Wu; Alan Wee-Chung Liew; David K. Smith; Hong Yan

2008-07-01T23:59:59.000Z

156

Unraveling complex temporal associations in cellular systems across multiple time-series microarray datasets  

Science Conference Proceedings (OSTI)

Unraveling the temporal complexity of cellular systems is a challenging task, as the subtle coordination of molecular activities cannot be adequately captured by simple mathematical concepts such as correlation. This paper addresses the challenge with ... Keywords: Complex temporal association, Time-series microarray data

Wenyuan Li; Min Xu; Xianghong Jasmine Zhou

2010-08-01T23:59:59.000Z

157

The multi-agent system for prediction of financial time series  

Science Conference Proceedings (OSTI)

To take into account different character of distinct segments of non-stationary financial time series the multi-agent system based forecasting algorithm is suggested. The primary goal of present paper is to introduce methodological findings that could ... Keywords: classification, dimensionality, forecasting, sliding window, training

ar?nas Raudys; Indre Zliobaite

2006-06-01T23:59:59.000Z

158

Recognising Visual Patterns to Communicate Gas Turbine Time-Series Data  

E-Print Network (OSTI)

Recognising Visual Patterns to Communicate Gas Turbine Time-Series Data Jin Yu, Jim Hunter, Ehud analogue channels are sampled once per second and archived by the Tiger system for monitoring gas turbines that it is very important to identify such patterns in any attempt at summarisation. In the gas turbine domain

Reiter, Ehud

159

Fusion of hypothesis testing for nonlinearity detection in small time series  

Science Conference Proceedings (OSTI)

The performances of parametric or non-parametric Hypothesis Testing (HT) for nonlinearity detection are fairly weak for small time series (typically between 128 and 512 samples). A natural idea to improve the results is to merge several HT to make a ... Keywords: Decision fusion, HOS methods, Hypothesis testing fusion, Mutual information, Nonlinearity detection, Signal modelling

Jean-Marc Le Caillec; Julien Montagner

2013-05-01T23:59:59.000Z

160

Generating English Summaries of Time Series Data Using the Gricean Maxims  

E-Print Network (OSTI)

, gas-turbine sensor readings, and hospital intensive care data. Our weather-forecast generator users. Categories and Subject Descriptors I.2.7 [Natural Language Processing]: Language Generation. Keywords Time series data, Summarization, Natural Language Processing, Gricean maxims. 1. INTRODUCTION

Sripada, Yaji

Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Data Mining of Coal Mining Gas Time Series and Knowledge Discovery  

Science Conference Proceedings (OSTI)

Use the data mining techniques to discover the regularity knowledge from the gas sensor monitoring history database is very important approach for the supervisors to identify the reason causing the exceptional fluctuation automatically and make the correct ... Keywords: data mining, time series, clustering, shape measure, knowledge discovery

Shisong Zhu; Yunjia Wang; Lifang Kong

2011-10-01T23:59:59.000Z

162

BN-97-4-4 (RP-875) The Radiant Time Series Cooling  

E-Print Network (OSTI)

, Ph.D., P.E. Member ASHRAE Daniel E. Fisher, Ph.D. Member ASHRAE Curtis O. Pedersen, Ph.D. Fellow ASHRAE ABSTRACT Theradiant time series methodis a newmethodfor per- forming design cooling load, Inc. (www.ashrae.org). P

163

A visual analytics approach for peak-preserving prediction of large seasonal time series  

Science Conference Proceedings (OSTI)

Time series prediction methods are used on a daily basis by analysts for making important decisions. Most of these methods use some variant of moving averages to reduce the number of data points before prediction. However, to reach a good prediction ...

M. C. Hao; H. Janetzko; S. Mittelstdt; W. Hill; U. Dayal; D. A. Keim; M. Marwah; R. K. Sharma

2011-06-01T23:59:59.000Z

164

Time Series Forecasting for Dynamic Environments: the DyFor Genetic Program Model  

E-Print Network (OSTI)

Time Series Forecasting for Dynamic Environments: the DyFor Genetic Program Model Neal Wagner programming (GP) to the task of forecasting with favorable results. However, these studies, like those "dynamic" GP model that is specifically tailored for forecasting in non-static environments. This Dynamic

Michalewicz, Zbigniew

165

Application of Bayesian trained RBF networks to nonlinear time-series modeling  

Science Conference Proceedings (OSTI)

We examine Bayesian learning of a regularization factor and the noise level of radial basis function (RBF) networks in the framework of nonlinear time-series prediction and system modeling. A Bayesian trained RBF network is applied in an autonomous recursive ... Keywords: Bayesian learning, nonlinear modeling, oscillator model

Erhard Rank

2003-07-01T23:59:59.000Z

166

Matching pursuit by undecimated discrete wavelet transform for non-stationary time series of arbitrary length  

Science Conference Proceedings (OSTI)

We describe how to formulate a matching pursuit algorithm which successively approximates a periodic non-stationary time series with orthogonal projections onto elements of a suitable dictionary. We discuss how to construct such dictionaries derived ... Keywords: Discrete wavelet transform, matching pursuit, undecimated discrete wavelet transform

A. T. Walden; A. Contreras Cristan

1998-08-01T23:59:59.000Z

167

An emission time series generator for pollutant release modelling in urban areas  

Science Conference Proceedings (OSTI)

Dynamic priority pollutant (PP) fate models are being developed to assess appropriate strategies for limiting the release of PPs from urban sources and for treating PPs on a variety of spatial scales. Different possible sources of PP releases were mapped ... Keywords: Emission pattern, Generator, Priority pollutants, Release dynamics, Sewer catchment model, Time series

W. De Keyser; V. Gevaert; F. Verdonck; B. De Baets; L. Benedetti

2010-04-01T23:59:59.000Z

168

Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models  

Science Conference Proceedings (OSTI)

Forecasting airborne pollen concentrations is one of the most studied topics in aerobiology, due to its crucial application to allergology. The most used tools for this problem are single lineal regressions and autoregressive models (ARIMA). Notwithstanding, ... Keywords: Aerobiology, Airborne pollen, Forecasting, Neuro-fuzzy, Time series

Jos Luis Aznarte M.; Jos Manuel Bentez Snchez; Diego Nieto Lugilde; Concepcin de Linares Fernndez; Consuelo Daz de la Guardia; Francisca Alba Snchez

2007-05-01T23:59:59.000Z

169

Time Series Measurements from a Moored Fluorescence-Based Dissolved Oxygen Sensor  

Science Conference Proceedings (OSTI)

We present an analysis of time-series measurements from a prototype fluorescence-quenching dissolved oxygen sensor moored for a six-day period in late March 1987 at 100 m depth in Saanich Inlet, British Columbia. Temporal variations in dissolved ...

Richard E. Thomson; Terrence A. Curran; M. Coreen Hamilton; Ronald McFarlane

1988-10-01T23:59:59.000Z

170

Dynamics in the Deep Canada Basin, Arctic Ocean, Inferred by Thermistor Chain Time Series  

Science Conference Proceedings (OSTI)

A 50-day time series of high-resolution temperature in the deepest layers of the Canada Basin in the Arctic Ocean indicates that the deep Canada Basin is a dynamically active environment, not the quiet, stable basin often assumed. Vertical ...

M-L. Timmermans; H. Melling; L. Rainville

2007-04-01T23:59:59.000Z

171

6-Hour to 1-Year Variance of Five Global Precipitation Sets  

Science Conference Proceedings (OSTI)

Three-hourly time series of precipitation from three high-resolution precipitation products [Tropical Rainfall Measuring Mission (TRMM) algorithm 3B-42, the Climate Prediction Centers morphing method (CMORPH), and the Precipitation Estimation ...

Alex C. Ruane; John O. Roads

2007-08-01T23:59:59.000Z

172

Time series analysis of AERI radiances for GCM testing and improvement  

NLE Websites -- All DOE Office Websites (Extended Search)

Time series analysis of AERI radiances for GCM testing and improvement Time series analysis of AERI radiances for GCM testing and improvement Dykema, John Harvard University Leroy, Stephen Harvard University Anderson, James Harvard University Tobin, David University of Wisconsin-Madison Knuteson, Robert University Of Wisconsin Revercomb, Henry University of Wisconsin-Madison Category: Radiation High resolution infrared radiances measured by the Atmospheric Emitted Radiance Interferometer (AERI) contained detailed information about the structure and dynamics of temperature, water vapor, and clouds below 3 km. Infrared radiances also contain the signature of radiative forcing by well-mixed gases that constitutes the greenhouse effect. Direct comparison of these radiance observations to similar radiances calculated from output

173

An approach to generating summaries of time series data in the gas turbine domain  

E-Print Network (OSTI)

In this paper, we propose an approach to generating summaries of time series data in the gas turbine domain using AI techniques. Through the think-aloud method with the aid of visualization of temporal data using time series workbench (TSW), both domain knowledge from experts about how to solve problems in the gas turbine and information about how domain experts analyze the archived temporal data are gotten. An algorithm to select interesting events is proposed and a prototype knowledge-based system is designed to generate summary of temporal data for interesting events in the gas turbine domain. Some further research works also are pointed. Key words: knowledge acquisition, knowledge-based system, gas turbine. 1

Jin Yu; Jim Hunter; Ehud Reiter; Somayajulu Sripada

2001-01-01T23:59:59.000Z

174

Multifractal analysis of stress time series during ultrathin lubricant film melting  

E-Print Network (OSTI)

Melting of an ultrathin lubricant film confined between two atomically flat surfaces is we studied using the rheological model for viscoelastic matter approximation. Phase diagram with domains, corresponding to sliding, dry, and two types of $stick-slip$ friction regimes has been built taking into account additive noises of stress, strain, and temperature of the lubricant. The stress time series have been obtained for all regimes of friction using the Stratonovich interpretation. It has been shown that self-similar regime of lubricant melting is observed when intensity of temperature noise is much larger than intensities of strain and stress noises. This regime is defined by homogenous distribution, at which characteristic stress scale is absent. We study stress time series obtained for all friction regimes using multifractal detrended fluctuation analysis. It has been shown that multifractality of these series is caused by different correlations that are present in the system and also by a power-law distribution. Since the power-law distribution is related to small stresses, this case corresponds to self-similar solid-like lubricant.

A. V. Khomenko; I. A. Lyashenko; V. N. Borisyuk

2010-07-20T23:59:59.000Z

175

A test for second order stationarity of a time series based on the Discrete Fourier Transform -Technical report  

E-Print Network (OSTI)

A test for second order stationarity of a time series based on the Discrete Fourier Transform stationary. Exploiting this important property, we construct a Portmanteau type test statistic for testing stationarity of the time series. It is shown that under the null of stationarity, the test statistic has

Subba Rao, Suhasini

176

Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling  

Science Conference Proceedings (OSTI)

Least squares support vector machines (LSSVM) with Gaussian kernel represent the most used of the kernel methods existing in the literature for regression and time series prediction. These models have a good behaviour for these types of problems due ... Keywords: Kernel methods, Kernel weighted K-Nearest Neighbours, Least squares support vector machines, Parallelization of kernel methods, Specific to problem kernels, Time series modelling

Gins Rubio; Luis Javier Herrera; Hctor Pomares; Ignacio Rojas; Alberto Guilln

2010-06-01T23:59:59.000Z

177

Similarity retrieval from time-series tropical cyclone observations using a neural weighting generator for forecasting modeling  

Science Conference Proceedings (OSTI)

Building a forecasting model for time-series data is a tough but very valuable research topic in recent years. High variation of time-series features must be considered appropriately for an accurate prediction. For weather forecasting, which is continuous, ...

Bo Feng; James N. K. Liu

2005-09-01T23:59:59.000Z

178

Soft computing methods to predict gene regulatory networks: An integrative approach on time-series gene expression data  

Science Conference Proceedings (OSTI)

To unravel the controlling mechanisms of gene regulation, in this paper we present the application of sophisticated soft computing methods applied on an important problem from Bioinformatics-inferring gene regulatory networks (GRN) from time series gene ... Keywords: Automatic model building, Gene regulatory network, LARS, Reverse-engineering, Schizosaccharomyces pombe, Time series microarray data, Yeast

Zeke S. H. Chan; Ilkka Havukkala; Vishal Jain; Yingjie Hu; Nikola Kasabov

2008-06-01T23:59:59.000Z

179

A novel statistical time-series pattern based interval forecasting strategy for activity durations in workflow systems  

Science Conference Proceedings (OSTI)

Forecasting workflow activity durations is of great importance to support satisfactory QoS in workflow systems. Traditionally, a workflow system is often designed to facilitate the process automation in a specific application domain where activities ... Keywords: Activity duration, Interval forecasting, Statistical time series, Time-series patterns, Workflow system

Xiao Liu; Zhiwei Ni; Dong Yuan; Yuanchun Jiang; Zhangjun Wu; Jinjun Chen; Yun Yang

2011-03-01T23:59:59.000Z

180

A novel approach for estimation of optimal embedding parameters of nonlinear time series by structural learning of neural network  

Science Conference Proceedings (OSTI)

In this work a novel approach for estimation of embedding parameters for reconstruction of underlying dynamical system from the observed nonlinear time series by a feedforward neural network with structural learning is proposed. The proposed scheme of ... Keywords: Chaos, Embedding parameters, Embedding theorem, Neural network, Nonlinear time series, Strange attractor, Structural learning

Yusuke Manabe; Basabi Chakraborty

2007-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

The physiology analysis system: An integrated approach for warehousing, management and analysis of time-series physiology data  

Science Conference Proceedings (OSTI)

The physiology analysis system (PAS) was developed as a resource to support the efficient warehousing, management, and analysis of physiology data, particularly, continuous time-series data that may be extensive, of variable quality, and distributed ... Keywords: Data base management system, Data display, Medical informatics, Physiology, Time-series data analysis

Thomas M. McKenna; Gagandeep Bawa; Kamal Kumar; Jaques Reifman

2007-04-01T23:59:59.000Z

182

Time-series models with many discrete alternatives. CONF-8309138--1  

SciTech Connect

In process and inventory control, time-series models occur with discrete alternatives in each time period (e.g., in an inventory process, the alternatives of no loss, or a block loss, in each period). With such a model, a fully Bayesian approach requires that the number of possible alternatives increase geometrically with time. In this paper, the problem of discarding the large set of alternatives which turn out to be (on the basis of the data) wildly unlikely is discussed from a fully Bayesian viewpoint. Costs of computation are compared with two sources of costs of truncating the model. Algorithms are given for the selection of the set of alternatives to retain. Simplified guidelines for practical situations are given.

Durst, M.

1983-08-01T23:59:59.000Z

183

Use of WindSat to Extend a Microwave-Based Daily Optimum Interpolation Sea Surface Temperature Time Series  

Science Conference Proceedings (OSTI)

The NOAA daily optimum interpolation sea surface temperature analysis (DOISST) is available either as a 31-yr (from 1981 onward) time series based on Advanced Very High Resolution Radiometer (AVHRR) observations or as a 9-yr (200211) time ...

Viva F. Banzon; Richard W. Reynolds

2013-04-01T23:59:59.000Z

184

Transportation Energy Futures Series: Vehicle Technology Deployment Pathways: An Examination of Timing and Investment Constraints  

SciTech Connect

Scenarios of new vehicle technology deployment serve various purposes; some will seek to establish plausibility. This report proposes two reality checks for scenarios: (1) implications of manufacturing constraints on timing of vehicle deployment and (2) investment decisions required to bring new vehicle technologies to market. An estimated timeline of 12 to more than 22 years from initial market introduction to saturation is supported by historical examples and based on the product development process. Researchers also consider the series of investment decisions to develop and build the vehicles and their associated fueling infrastructure. A proposed decision tree analysis structure could be used to systematically examine investors' decisions and the potential outcomes, including consideration of cash flow and return on investment. This method requires data or assumptions about capital cost, variable cost, revenue, timing, and probability of success/failure, and would result in a detailed consideration of the value proposition of large investments and long lead times. This is one of a series of reports produced as a result of the Transportation Energy Futures (TEF) project, a Department of Energy-sponsored multi-agency effort to pinpoint underexplored strategies for abating GHGs and reducing petroleum dependence related to transportation.

Plotkin, S.; Stephens, T.; McManus, W.

2013-03-01T23:59:59.000Z

185

Characterizing forest fire activity in Turkey by compound Poisson and time series models  

Science Conference Proceedings (OSTI)

Large forest fires are major disturbances that strongly influence the carbon cycling and vegetation dynamics of Turkish ecosystems. We suggest that compound Poisson model could provide suitable description for the total annual area burned by forest fires and for fire size distribution in Turkey. This paper also provides a time series model that reveals trends in annual number of fires and area burned in Turkey. We support this argument using forest fires occurred in Turkey between 1937 and 2009. We also find that the Poisson model simulates large fire occurrences well and the total burned area is modeled by a compound Poisson process.

Hatice . ekim; Cem Kad?lar; Gamze zel

2013-01-01T23:59:59.000Z

186

Interpretation of engine cycle-to-cycle variation by chaotic time series analysis  

DOE Green Energy (OSTI)

In this paper we summarize preliminary results from applying a new mathematical technique -- chaotic time series analysis (CTSA) -- to cylinder pressure data from a spark-ignition (SI) four-stroke engine fueled with both methanol and iso-octane. Our objective is to look for the presence of deterministic chaos'' dynamics in peak pressure variations and to investigate the potential usefulness of CTSA as a diagnostic tool. Our results suggest that sequential peak cylinder pressures exhibit some characteristic features of deterministic chaos and that CTSA can extract previously unrecognized information from such data. 18 refs., 11 figs., 2 tabs.

Daw, C.S.; Kahl, W.K.

1990-01-01T23:59:59.000Z

187

Bayesian analysis of time series of single RNA under fluctuating force  

E-Print Network (OSTI)

Extracting the intrinsic kinetic information of biological molecule from its single-molecule kinetic data is of considerable biophysical interest. In this work, we theoretically investigate the feasibility of inferring single RNA's intrinsic kinetic parameters from the time series obtained by forced folding/unfolding experiment done in the light tweezer, where the molecule is flanked by long double-stranded DNA/RNA handles and tethered between two big beads. We first construct a coarse-grain physical model of the experimental system. The model has captured the major physical factors: the Brownian motion of the bead, the molecular structural transition, and the elasticity of the handles and RNA. Then based on an analytic solution of the model, a Bayesian method using Monte Carlo Markov Chain is proposed to infer the intrinsic kinetic parameters of the RNA from the noisy time series of the distance or force. Because the force fluctuation induced by the Brownian motion of the bead and the structural transition can significantly modulate the transition rates of the RNA, we prove that, this statistic method is more accurate and efficient than the conventional histogram fitting method in inferring the molecule's intrinsic parameters.

Fei Liu; Zhong-can Ou-Yang

2007-10-04T23:59:59.000Z

188

Use of Long Time-series ACRF Measurements to Improve Data Quality Analysis  

NLE Websites -- All DOE Office Websites (Extended Search)

2, 2008 2, 2008 Eighteenth ARM Science Team Meeting 1 Use of Long Time-Series ACRF Measurements to Improve Data Quality Analysis Sean Moore Mission Research and Technical Services Santa Barbara, CA ARM Data Quality Office University of Oklahoma Norman, OK March 12, 2008 Eighteenth ARM Science Team Meeting 2 ARM Data Quality Office Full Time Staff *Ken Kehoe *Randy Peppler *Karen Sonntag *Justin Monroe Student Analysts *Nathan Hiers (Sr) *Stephen Mullens (Sr) *Kimberly Rabon (Jr) *Lacey Evans (Jr) ARM Data Quality Office, National Weather Center The University of Oklahoma, Norman, OK Sean Moore Mission Research and Technical Services Santa Barbara, CA March 12, 2008 Eighteenth ARM Science Team Meeting 3 Daily Quality Checks * Automated software checks every measurement for outliers against some pre-defined limits.

189

Shock timing on the National Ignition Facility: the first precision tuning series  

Science Conference Proceedings (OSTI)

Ignition implosions on the National Ignition Facility (NIF) [Lindl et al., Phys. Plasmas 11, 339 (2004)] are driven with a very carefully tailored sequence of four shock waves that must be timed to very high precision in order to keep the fuel on a low adiabat. The first series of precision tuning experiments on NIF have been performed. These experiments use optical diagnostics to directly measure the strength and timing of all four shocks inside the hohlraum-driven, cryogenic deuterium-filled capsule interior. The results of these experiments are presented demonstrating a significant decrease in the fuel adiabat over previously un-tuned implosions. The impact of the improved adiabat on fuel compression is confirmed in related deuterium-tritium (DT) layered capsule implosions by measurement of fuel areal density (rR), which show the highest fuel compression (rR {approx} 1.0 g/cm{sup 2}) measured to date.

Robey, H F; Celliers, P M; Kline, J L; Mackinnon, A J

2011-10-27T23:59:59.000Z

190

Time Series Photometry of Variable Stars in the Globular Cluster NGC 6397  

E-Print Network (OSTI)

Time series BVI photometry is presented for 16 short-period variables located in the central region of the globular cluster NGC 6397. The sample includes 9 newly detected variables. The light curve of cataclysmic variable CV6 shows variability with a period of 0.2356 days. We confirm an earlier reported period of 0.472 days for cataclysmic variable CV1. Phased light curves of both CVs exhibit sine-like light curves, with two minima occurring during each orbital cycle. The secondary component of CV1 has a low average density of 0.83 g/cm^{3} indicating that it cannot be a normal main sequence star. Variables among the cluster blue stragglers include a likely detached eclipsing binary with orbital period of 0.787 days, three new SX Phe stars (one of which has the extremely short period of 0.0215 days), and three low amplitude variables which are possible gamma Doradus variables.

Janusz Kaluzny; Ian B. Thompson

2002-10-29T23:59:59.000Z

191

Learning to imitate stochastic time series in a compositional way by chaos  

E-Print Network (OSTI)

This study shows that a mixture of RNN experts model can acquire the ability to generate sequences combining multiple primitive patterns by means of self-organizing chaos. By training of the model, each expert learns a primitive sequence pattern, and a gating network learns to imitate stochastic switching of the multiple primitives via a chaotic dynamics, utilizing a sensitive dependence on initial conditions. As a demonstration, we present a numerical simulation in which the model learns Markov chain switching among some Lissajous curves by a chaotic dynamics. Our analysis shows that by using a sufficient amount of training data, balanced with the network memory capacity, it is possible to satisfy the conditions for embedding the target stochastic sequences into a chaotic dynamical system. It is also shown that reconstruction of a stochastic time series by a chaotic model can be stabilized by adding a negligible amount of noise to the dynamics of the model.

Jun Namikawa; Jun Tani

2008-05-13T23:59:59.000Z

192

Point and Interval Forecasting of Spot Electricity Prices: Linear vs. Non-Linear Time Series Models  

E-Print Network (OSTI)

In this paper we assess the short-term forecasting power of different time series models in the electricity spot market. In particular we calibrate AR/ARX (X stands for exogenous/fundamental variable system load in our study), AR/ARX-GARCH, TAR/TARX and Markov regime-switching models to California Power Exchange (CalPX) system spot prices. We then use them for out-ofsample point and interval forecasting in normal and extremely volatile periods preceding the market crash in winter 2000/2001. We find evidence that (i) non-linear, threshold regime-switching (TAR/TARX) models outperform their linear counterparts, both in point and interval forecasting, and that (ii) an additional GARCH component generally decreases point forecasting efficiency. Interestingly, the former result challenges a number of previously published studies on the failure of non-linear regime-switching models in forecasting.

Adam Misiorek; Stefan Trueck; Rafal Weron

2006-01-01T23:59:59.000Z

193

Forecasting of preprocessed daily solar radiation time series using neural networks  

SciTech Connect

In this paper, we present an application of Artificial Neural Networks (ANNs) in the renewable energy domain. We particularly look at the Multi-Layer Perceptron (MLP) network which has been the most used of ANNs architectures both in the renewable energy domain and in the time series forecasting. We have used a MLP and an ad hoc time series pre-processing to develop a methodology for the daily prediction of global solar radiation on a horizontal surface. First results are promising with nRMSE {proportional_to} 21% and RMSE {proportional_to} 3.59 MJ/m{sup 2}. The optimized MLP presents predictions similar to or even better than conventional and reference methods such as ARIMA techniques, Bayesian inference, Markov chains and k-Nearest-Neighbors. Moreover we found that the data pre-processing approach proposed can reduce significantly forecasting errors of about 6% compared to conventional prediction methods such as Markov chains or Bayesian inference. The simulator proposed has been obtained using 19 years of available data from the meteorological station of Ajaccio (Corsica Island, France, 41 55'N, 8 44'E, 4 m above mean sea level). The predicted whole methodology has been validated on a 1.175 kWc mono-Si PV power grid. Six prediction methods (ANN, clear sky model, combination..) allow to predict the best daily DC PV power production at horizon d + 1. The cumulated DC PV energy on a 6-months period shows a great agreement between simulated and measured data (R{sup 2} > 0.99 and nRMSE < 2%). (author)

Paoli, Christophe; Muselli, Marc; Nivet, Marie-Laure [University of Corsica, CNRS UMR SPE, Corte (France); Voyant, Cyril [University of Corsica, CNRS UMR SPE, Corte (France); Hospital of Castelluccio, Radiotherapy Unit, Ajaccio (France)

2010-12-15T23:59:59.000Z

194

Low-Frequency Modulation of Turbulent Diapycnal Mixing by Anticyclonic Eddies Inferred from the HOT Time Series  

Science Conference Proceedings (OSTI)

Profiles of potential density obtained from CTD measurements during the Hawaii Ocean Time series (HOT) program in the vicinity of the island of Oahu, Hawaii, are used to evaluate low-frequency variability of turbulent kinetic dissipation rates ...

Zhao Jing; Lixin Wu

2013-04-01T23:59:59.000Z

195

Time Series of Daily Averaged Cloud Fractions over Landfast First-Year Sea Ice from Multiple Data Sources  

Science Conference Proceedings (OSTI)

The time series of daily averaged cloud fractions (CFs) collected from different platformstwo Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on Terra and Aqua satellites, the National Centers for Environmental Prediction (NCEP)...

Xin Jin; John M. Hanesiak; David G. Barber

2007-11-01T23:59:59.000Z

196

Separation of Stochastic and Deterministic Information from Seismological Time Series with Nonlinear Dynamics and Maximum Entropy Methods  

SciTech Connect

We present a procedure developed to detect stochastic and deterministic information contained in empirical time series, useful to characterize and make models of different aspects of complex phenomena represented by such data. This procedure is applied to a seismological time series to obtain new information to study and understand geological phenomena. We use concepts and methods from nonlinear dynamics and maximum entropy. The mentioned method allows an optimal analysis of the available information.

Gutierrez, Rafael M.; Useche, Gina M.; Buitrago, Elias [Centro de Investigaciones, Universidad Antonio Narino, Carrera 3 Este No. 47A--15 Bogota (Colombia)

2007-11-13T23:59:59.000Z

197

Definition: Kilowatt-hour | Open Energy Information  

Open Energy Info (EERE)

Kilowatt-hour Kilowatt-hour Jump to: navigation, search Dictionary.png Kilowatt-hour A unit of measure for energy, typically applied to electricity usage; equal to the amount of energy used at a rate of 1,000 watts over the course of one hour. One kWh is equivalent to 3,412 Btu, or 3,600 kJ.[1][2] View on Wikipedia Wikipedia Definition The kilowatt hour, or kilowatt-hour, (symbol kW·h, kW h or kWh) is a unit of energy equal to 1000 watt hours or 3.6 megajoules. For constant power, energy in watt hours is the product of power in watts and time in hours. The kilowatt hour is most commonly known as a billing unit for energy delivered to consumers by electric utilities. Also Known As kWh Related Terms British thermal unit, Electricity, Energy, Kilowatt, energy, electricity generation

198

Development of periodic response factors for use with the radiant time series method  

SciTech Connect

Harris and McQuiston (1988) developed conduction transfer function (CTF) coefficients corresponding to 41 representative wall assemblies and 42 representative roof assemblies for use with the transfer function method (TFM). They also developed a grouping procedure that allows design engineers to determine the correct representative wall or roof assembly that most closely matches a specific wall or roof assembly. The CTF coefficients and the grouping procedure have been summarized in the ASHRAE Handbook--Fundamentals (1989, 1993, 1997) and the ASHRAE Cooling and Heating Load Calculation Manual, second edition. More recently, a new, simplified design cooling load calculation procedure, the radiant time series method (RTSM), has been developed. The RTSM uses periodic response factors to model transient conductive heat transfer. While not a true manual load calculation procedure, it is quite feasible to implement the RTSM in a spreadsheet. To be useful in such an environment, it would be desirable to have a pre-calculated set of periodic response factors. Accordingly, a set of periodic response factors has been calculated and is presented in this paper.

Spitler, J.D.; Fisher, D.E.

1999-07-01T23:59:59.000Z

199

DOE's Office of Science Awards 95 Million Hours of Supercomputing...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

95 Million Hours of Supercomputing Time to Advance Research in Science, Academia and Industry DOE's Office of Science Awards 95 Million Hours of Supercomputing Time to Advance...

200

hourly | OpenEI  

Open Energy Info (EERE)

hourly hourly Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (7 months ago) Date Updated July 02nd, 2013 (5 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Anomaly detection in noisy and irregular time series: the "turbodiesel charging pressure" case study  

Science Conference Proceedings (OSTI)

In this paper we consider the problem of detecting anomalies in sample series obtained from critical train subsystems. Our study is the analysis of charging pressure in turbodiesel engines powering a fleet of passenger trains. We describe an automated ...

Anah Balbi; Michael Provost; Armando Tacchella

2010-06-01T23:59:59.000Z

202

Measurements of time average series resonance effect in capacitively coupled radio frequency discharge plasma  

Science Conference Proceedings (OSTI)

Self-excited plasma series resonance is observed in low pressure capacitvely coupled radio frequency discharges as high-frequency oscillations superimposed on the normal radio frequency current. This high-frequency contribution to the radio frequency current is generated by a series resonance between the capacitive sheath and the inductive and resistive bulk plasma. In this report, we present an experimental method to measure the plasma series resonance in a capacitively coupled radio frequency argon plasma by modifying the homogeneous discharge model. The homogeneous discharge model is modified by introducing a correction factor to the plasma resistance. Plasma parameters are also calculated by considering the plasma series resonances effect. Experimental measurements show that the self-excitation of the plasma series resonance, which arises in capacitive discharge due to the nonlinear interaction of plasma bulk and sheath, significantly enhances both the Ohmic and stochastic heating. The experimentally measured total dissipation, which is the sum of the Ohmic and stochastic heating, is found to increase significantly with decreasing pressure.

Bora, B.; Bhuyan, H.; Favre, M.; Wyndham, E.; Chuaqui, H. [Facultad de Fisica, Pontificia Universidad Catolica de Chile, Ave. Vicuna Mackenna 4860, Santiago 22 (Chile); Kakati, M. [Thermal Plasma Processed Materials Laboratory, Centre of Plasma Physics, Institute for Plasma Research, Sonapur 782 402, Assam (India)

2011-10-15T23:59:59.000Z

203

Essays on empirical time series modeling with causality and structural change  

E-Print Network (OSTI)

In this dissertation, three related issues of building empirical time series models for financial markets are investigated with respect to contemporaneous causality, dynamics, and structural change. In the first essay, nation-wide industry information transmission among stock returns of ten sectors in the U.S. economy is examined through the Directed Acyclical Graph (DAG) for contemporaneous causality and Bernanke decomposition for dynamics. The evidence shows that the information technology sector is the most root cause sector. Test results show that DAG from ex ante forecast innovations is consistent with the DAG fro m ex post fit innovations. This supports innovation accounting based on DAGs using ex post innovations. In the second essay, the contemporaneous/dynamic behaviors of real estate and stock returns are investigated. Selected macroeconomic variables are included in the model to explain recent movements of both returns. During 1971-2004, there was a single structural break in October 1980. A distinct difference in contemporaneous causal structure before and after the break is found. DAG results show that REITs take the role of a causal parent after the break. Innovation accounting shows significantly positive responses of real estate returns due to an initial shock in default risk but insignificant responses of stock returns. Also, a shock in short run interest rates affects real estate returns negatively with significance but does not affect stock returns. In the third essay, a structural change in the volatility of five Asian and U.S. stock markets is examined during the post-liberalization period (1990-2005) in the Asian financial markets, using the Sup LM test. Four Asian financial markets (Hong Kong, Japan, Korea, and Singapore) experienced structural changes. However, test results do not support the existence of structural change in volatility for Thailand and U.S. Also, results show that the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) persistent coefficient increases, but the Autoregressive Conditional heteroskedasticity (ARCH) impact coefficient, implying short run adjustment, decreases in Asian markets. In conclusion, when the econometric model is set up, it is necessary to consider contemporaneous causality and possible structural breaks (changes). The dissertation emphasizes causal inference and structural consistency in econometric modeling. It highlights their importance in discovering contemporaneous/dynamic causal relationships among variables. These characteristics will likely be helpful in generating accurate forecasts.

Kim, Jin Woong

2006-08-01T23:59:59.000Z

204

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Nepal from DLR Nepal from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2002 and 2003 for selected sites in Nepal. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GEF GHI hourly data Nepal NREL solar SWERA TILT UNEP Data application/zip icon Download data (zip, 1.2 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

205

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Ethiopia from DLR Ethiopia from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2001 and 2002 for selected sites in Ethiopia. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GHI hourly data solar SWERA TILT UNEP Data application/zip icon Download data (zip, 2.1 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

206

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Kenya from DLR Kenya from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2001 and 2002 for selected sites in Kenya. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GEF GHI hourly data Kenya solar SWERA TILT UNEP Data application/zip icon Download data (zip, 3.9 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

207

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Sri Lanka sites from DLR Sri Lanka sites from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2002 and 2003 for selected sites in Sri Lanka. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GHI hourly data solar Sri Lanka SWERA TILT UNEP Data application/zip icon Download data (zip, 368.2 KiB) Quality Metrics Level of Review Some Review Comment

208

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Ghana from DLR Ghana from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2001 and 2002 for selected sites in Ghana. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI Ghana GHI hourly data solar SWERA TILT TMY UNEP Data application/zip icon ghanaDLRtimeseries_103.zip (zip, 2.7 MiB) Quality Metrics Level of Review Some Review Comment

209

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Bangladesh sites from DLR Bangladesh sites from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2002 and 2003 for selected sites in Bangladesh. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords Bangladesh DLR DNI GHI hourly data solar SWERA UNEP Data application/zip icon Download Data (zip, 1.2 MiB) Quality Metrics Level of Review Some Review Comment

210

Analysis of SWADE Discus N Wind Speed and Wave Height Time Series. Part II: Quantitative Growth Rates during a Storm  

Science Conference Proceedings (OSTI)

In Part I, wind speed and wave height time series obtained from the Discus N buoy during two storm events recorded in the SWADE experiment were analyzed using discrete wavelet packet transforms. One result of the analysis is that distinct tightly ...

Jorge F. Willemsen

1997-06-01T23:59:59.000Z

211

Analysis of SWADE Discus N Wind Speed and Wave Height Time Series. Part I: Discrete Wavelet Packet Representations  

Science Conference Proceedings (OSTI)

Discus N denotes a single buoy employed during the SWADE experiment, equipped to record wave amplitude and wind speed time series at a rate of 1 Hz. Over the course of approximately 4.5 days, two clear-cut examples of sea response to wind ...

Jorge E. Willemsen

1995-12-01T23:59:59.000Z

212

The estimation techniques of the time series correlations in nuclear reactor calculations by the Monte Carlo method using multiprocessor computers  

Science Conference Proceedings (OSTI)

The algorithms of estimation of the time series correlation functions in nuclear reactor calculations using the Monte Carlo method are described. Correlation functions are used for the estimation of biases, for calculations of variance taking into account the correlations between neutron generations, and for choosing skipped generations.

Kalugin, M. A.; Oleynik, D. S.; Sukhino-Khomenko, E. A., E-mail: sukhino-khomenko@adis.vver.kiae.ru [National Research Centre Kurchatov Institute (Russian Federation)

2012-12-15T23:59:59.000Z

213

HYBRID GREY RELATIONAL ARTIFICIAL NEURAL NETWORK AND AUTO REGRESSIVE INTEGRATED MOVING AVERAGE MODEL FOR FORECASTING TIME-SERIES DATA  

Science Conference Proceedings (OSTI)

The aim of this study is to develop a new hybrid model by combining a linear and nonlinear model for forecasting time-series data. The proposed model (GRANN_ARIMA) integrates nonlinear grey relational artificial neural network (GRANN) and a linear autoregressive ...

Roselina Sallehuddin; Siti Mariyam Hj. Shamsuddin

2009-05-01T23:59:59.000Z

214

A Time Series Analysis of Food Price and Its Input Prices  

E-Print Network (OSTI)

Rapid increases in consumer food price beginning in 2007 generated interest in identifying the main factors influencing these increases. In subsequent years, food prices have fluctuated, but generally have continued their ascent. The effects of crude oil, gasoline, corn, and ethanol prices, as well as, the relative foreign exchange rate of the U.S. dollar and producer price indexes for food manufacturing and fuel products on domestic food prices are examined. Because the data series are non-stationary and cointegrated, a vector error correction model is estimated. Weak exogeneity and exclusion tests in the cointegration space are performed. Directed acyclical graphs are used to specify contemporaneous causal relationships. Dynamic interactions among the series are given by impulse response functions and forecast error variance decompositions. Weak exogeneity tests indicate all eight series work to bring the system back into equilibrium following a shock to the system. Further, exclusion tests suggest crude oil, gasoline, food CPI, ethanol, and food PPI variables are not in the long-run relationships. Dynamic analyses suggest the following relationships. Ethanol price is not a major factor in domestic food prices, suggesting that food prices are largely unaffected by the recent increased use of corn-based ethanol for fuel. Crude oil prices, corn prices, and the relative foreign exchange rate of the U.S. dollar, however, do influence domestic food prices with corn price contributing the most to food price variability. Innovation accounting inferences are robust to potential different contemporaneous causal specifications.

Routh, Kari 1988-

2012-12-01T23:59:59.000Z

215

Making Hand Geometry Verification System More Accurate Using Time Series Representation with R-K Band Learning  

E-Print Network (OSTI)

At present, applications of biometrics are rapidly increasing due to inconveniences in using traditional passwords and physical keys. Hand geometry, one of the most well-known biometrics, is implemented in many verification systems with various feature extraction methods. In recent work, a hand geometry verification system using time series conversion techniques and Dynamic Time Warping (DTW) distance measure with Sakoe-Chiba band has been proposed. This system demonstrates many advantages, especially ease of implementation and small storage space requirement using time series representation. In this paper, we propose a novel hand geometry verification system that exploits DTW distance measure and R-K band learning to further improve the system performance. Finally, our evaluation reveals that our proposed system outperforms the current system by a wide margin, in terms of False Acceptance Rate (FAR), False Rejection Rate (FRR), and Total Success Rate (TSR) at Equal Error Rate (EER).

Niennattrakul, Vit

2009-01-01T23:59:59.000Z

216

EMCS and time-series energy data analysis in a large government office building  

SciTech Connect

Energy Management Control System (EMCS) data are an underutilized source of information on the performance of commercial buildings. Newer EMCS's have the ability and storage capacity to trend large amounts of data and perform preliminary analyses; however, these features often receive little or no use, as operators are generally not trained in data management, visualization, and analysis. Whole-building hourly electric-utility data are another readily available and underutilized source of information. This paper outlines the use of EMCS and utility data to evaluate the performance of the Ronald V. Dellums Federal Building in Oakland, California, a large office building operated by the Federal General Services Administration (GSA). The project began as an exploratory effort at Lawrence Berkeley National Laboratory (LBNL) to examine the procedures operators were using to obtain information and operate their buildings. Trending capabilities were available, but in limited use by the operators. LBNL worked with the building operators to use EMCS to trend one-minute data for over one-hundred points. Hourly electricity-use data were also used to understand usage patterns and peak demand. The paper describes LBNL's key findings in the following areas: Characterization of cooling plant operations; Characterization of economizer performance; Analysis of annual energy use and peak demand operations; Techniques, strengths, and shortcomings of EMCS data analysis; Future plans at the building for web-based remote monitoring and diagnostics. These findings have helped GSA develop strategies for peak demand reduction in this and other GSA buildings. Such activities are of great interest in California and elsewhere, where electricity reliability and demand are currently problematic. Overall, though the building's energy use is fairly low, significant energy savings are available by improving the existing EMCS control strategies.

Piette, Mary Ann; Kinney, Satkartar; Friedman, Hannah

2001-04-01T23:59:59.000Z

217

Testing and forecasting the time series of the solar activity by singular spectrum analysis  

E-Print Network (OSTI)

To study and forecast the solar activity data a quite perspective method of singular spectrum analysis (SSA) is proposed. As known, data of the solar activity are usually presented via the Wolf numbers associated with the effective amount of the sunspots. The advantages and disadvantages of SSA are described by its application to the series of the Wolf numbers. It is shown that the SSA method provides a sufficiently high reliability in the description of the 11-year solar cycle. Moreover, this method is appropriate for revealing more long cycles and forecasting the further solar activity during one and a half of 11-year cycle.

A. Loskutov; I. A. Istomin; K. M. Kuzanyan; O. L. Kotlyarov

2000-10-13T23:59:59.000Z

218

RELATING TIME SERIES IN DATA TO SPATIAL VARIATION IN THE RESERVOIR USING WAVELETS  

E-Print Network (OSTI)

regression in the wavelet domains of both time and space. Wavelet transforms have the ability to reveal important events in time signals or spatial images. Thus we transformed both the model space and the time a subset of wavelet coefficients from each of the transformed domains. These subsets were used subsequently

219

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Honduras from SUNY Honduras from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

220

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Nicaragua from SUNY Nicaragua from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Guatemala from SUNY Guatemala from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

222

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Cuba sites from SUNY Cuba sites from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

223

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

El Salvador sites from SUNY El Salvador sites from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

224

NERSC Edison Hours Used Report  

NLE Websites -- All DOE Office Websites (Extended Search)

Edison Hours Used Edison Hours Used Edison Usage Chart Edison Usage Chart Date Hours Used (in millions) Percent of Maximum Possible (24 hoursday) 10142013 1.852 61.8 10132013...

225

Bayesian and non-Bayesian mixture paradigms for clustering multivariate data : time series synchrony tests.  

E-Print Network (OSTI)

??During the last few years, the use of the finite mixture model has increased in the study of heterogeneous populations including its use in time (more)

Kim, Susan

2011-01-01T23:59:59.000Z

226

Statistical analysis of electrophoresis time series for improving basecalling in DNA sequencing  

Science Conference Proceedings (OSTI)

In automated DNA sequencing, the final algorithmic phase, referred to as basecalling, consists of the translation of four time signals in the form of peak sequences (electropherogram) to the corresponding sequence of bases. Commercial basecallers detect ...

Anna Tonazzini; Luigi Bedini

2007-07-01T23:59:59.000Z

227

Time series analysis of the lead-lag relationship of freight futures and spot market prices  

E-Print Network (OSTI)

This thesis analyzes the relationship between the physical and paper shipping markets. The main objective is to find if one market leads the other by a specific time period so that market players can take advantage from ...

Gavriilidis, Nikolaos

2008-01-01T23:59:59.000Z

228

The ups and downs of the renormalization group applied to financial time series  

E-Print Network (OSTI)

Starting from inhomogeneous time scaling and linear decorrelation between successive price returns, Baldovin and Stella recently devised a model describing the time evolution of a financial index. We first make it fully explicit by using Student distributions instead of power law-truncated Levy distributions; we also show that the analytic tractability of the model extends to the larger class of symmetric generalized hyperbolic distributions and provide a full computation of their multivariate characteristic functions. The Baldovin and Stella model, while mimicking well volatility relaxation phenomena such as the Omori law, fails to reproduce other stylized facts such as the leverage effect or some time reversal asymmetries. We discuss how to modify the dynamics of this process in order to reproduce real data more accurately.

Challet, Damien

2008-01-01T23:59:59.000Z

229

Creating Synthetic Wind Speed Time Series for 15 New Zealand Wind Farms  

Science Conference Proceedings (OSTI)

Wind data at time scales from 10 min to 1 h are an important input for modeling the performance of wind farms and their impact on many countries national electricity systems. Planners need long-term realistic (i.e., meteorologically spatially and ...

Richard Turner; Xiaogu Zheng; Neil Gordon; Michael Uddstrom; Greg Pearson; Rilke de Vos; Stuart Moore

2011-12-01T23:59:59.000Z

230

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

China sites from DLR China sites from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2002 and 2003 for selected sites in China. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords China DLR DNI GEF GHI solar SWERA UNEP Data application/zip icon Download Data (zip, 953.6 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

231

Spatial and temporal variations in streambed hydraulic conductivity quantified with time-series thermal methods  

E-Print Network (OSTI)

conductivity Streambed seepage Heat as a tracer Surface water­ground water interaction Pajaro River s u m m a r was 62 m3 s?1 , with most of the loss occurring along the lower part of the experimental reach. Point and with time, with greater seepage occurring along the lower part of the reach and during the summer and fall

Fisher, Andrew

232

An Approach to Generating Summaries of Time Series Data in the Gas Turbine Domain Jin Yu and Jim Hunter and Ehud Reiter and Somayajulu Sripada  

E-Print Network (OSTI)

An Approach to Generating Summaries of Time Series Data in the Gas Turbine Domain Jin Yu and Jim an approach to generating summaries of time series data in the gas turbine domain using AI techniques. Through), both domain knowledge from experts about how to solve problems in the gas turbine and information about

Sripada, Yaji

233

A hybrid model of self-organizing maps (SOM) and least square support vector machine (LSSVM) for time-series forecasting  

Science Conference Proceedings (OSTI)

Support vector machine is a new tool from Artificial Intelligence (AI) field has been successfully applied for a wide variety of problem especially in time-series forecasting. In this paper, least square support vector machine (LSSVM) is an improved ... Keywords: Forecasting, Least square support vector machine, Self-organizing maps, Time series

Shuhaida Ismail; Ani Shabri; Ruhaidah Samsudin

2011-08-01T23:59:59.000Z

234

Investigation of flood inundation on playas within the Zone of Chotts, using a time-series of AVHRR  

E-Print Network (OSTI)

Our principal objectives were to examine the application of a time-series of advanced very high-resolution radiometer (AVHRR) data to contrast the inundation regimes of a range of large, climatically sensitive playas in the Zone of Chotts regions of southern Tunisia and northeastern Algeria. In doing so, we aimed to: (i) refine methods for monitoring monthly changes in lake areas and seasonal water balance, building from previous studies; (ii) explore the extent to which simple hydrological models can be developed for individual playas; and (iii) compare the hydrologic response of individual playas to seasonal rainfall inputs within North Africa. Here, analyses were conducted using two time-series of AVHRR data (c.2 images per month) for southern Tunisia and northern Algeria (1983 -- 1993 and 1987 -- 1999), with coincident meteorological data. These data were used to detect and monitor inundation events within specific playa catchments in the Zone of Chotts region. Key analyses methods included: (a) the use of reflectance profiles for each time-series to infer inundation processes for each playa and (b) the extraction of lake areas from sequential image data to determine the extent of inundation with an accuracy of between 2% and 6% (depending on lake size). For those playas which were found to inundate as a direct result of precipitation records of lake area change were used to drive simple hydrological models to allowed mean monthly precipitation ( P), monthly effective precipitation (P-E), and monthly evaporation (E) to be estimated. The techniques presented here make an important contribution to our understanding of the hydrology of playas in this region. Results for individual playas also suggest that these techniques may be useful in highlighting the dynamic respo...

Bryant Rainey Department; R. G. Bryant; M. P. Rainey

2002-01-01T23:59:59.000Z

235

A New Series of Rate Decline Relations Based on the Diagnosis of Rate-Time Data  

E-Print Network (OSTI)

The so-called "Arps" rate decline relations are by far the most widely used tool for assessing oil and gas reserves from rate performance. These relations (i.e., the exponential and hyperbolic decline relations) are empirical where the starting point for their derivation is given by the definitions of the "loss ratio" and the "derivative of the loss ratio", where the "loss ratio" is the ratio of rate data to derivative of rate data, and the "derivative of the loss ratio" is the "b-parameter" as defined by Arps [1945]. The primary goal of this work is the interpretation of the b-parameter continuously over time and thus the better understanding of its character. As is shown below we propose "monotonically decreasing functional forms" for the characterization of the b-parameter, in addition to the exponential and hyperbolic rate decline relations, where the b-parameter is assumed to be zero and constant, respectively. The proposed equations are as follow: b(t)=constant (Arps' hyperbolic rate-decline relation), []tbbtb10exp)(-bt= (exponential function), (power-law function), 10)(btbtb=)/(1)(10tbbtb+= (rational function). The corresponding rate decline relation for each case is obtained by solving the differential equation associated with the selected functional for the b-parameter. The next step of this procedure is to test and validate each of the rate decline relations by applying them to various numerical simulation cases (for gas), as well as for field data cases obtained from tight/shale gas reservoirs. Our results indicate that b-parameter is never constant but it changes continuously with time. The ultimate objective of this work is to establish each model as a potential analysis/diagnostic relation. Most of the proposed models yield more realistic estimations of gas reserves in comparison to the traditional Arps' rate decline relations (i.e., the hyperbolic decline) where the reserves estimates are inconsistent and over-estimated. As an example, the rational b-parameter model seems to be the most accurate model in terms of representing the character of rate data; and therefore, should yield more realistic reserves estimates. Illustrative examples are provided for better understanding of each b-parameter rate decline model. The proposed family of rate decline relations was based on the character of the b-parameter computed from the rate-time data and they can be applied to a wide range of data sets, as dictated by the character of rate data.

Boulis, Anastasios

2009-08-01T23:59:59.000Z

236

TIME SERIES MODELING  

Science Conference Proceedings (OSTI)

does involve some knowledge of hydrodynamics (especially when decid- ing the formula for ... 109120. Munk, W.H., and Cartwright, D.E., 1966. Tidal spectroscopy and pre- diction. ..... Principles of Forecasting: A Handbook for. Researchers...

237

Time series association learning  

DOE Patents (OSTI)

This invention generally relates to machine-based speech and speaker recognition and, more particularly, to machine-based speech recognition using a learned relationship between acoustic and articulatory parameters. An acoustic input is recognized from inferred articulatory movements output by a learned relationship between training acoustic waveforms and articulatory movements. The inferred movements are compared with template patterns prepared from training movements when the relationship was learned to regenerate an acoustic recognition. In a preferred embodiment, the acoustic-articulatory relationships are learned by a neural network. Subsequent input acoustic patterns then generate the inferred articulatory movements for use with the templates. Articulatory movement data may be supplemented with characteristic acoustic information, e.g. relative power and high frequency data, to improve template recognition. 7 figs.

Papcun, G.J.

1990-01-31T23:59:59.000Z

238

Time series association learning  

DOE Patents (OSTI)

An acoustic input is recognized from inferred articulatory movements output by a learned relationship between training acoustic waveforms and articulatory movements. The inferred movements are compared with template patterns prepared from training movements when the relationship was learned to regenerate an acoustic recognition. In a preferred embodiment, the acoustic articulatory relationships are learned by a neural network. Subsequent input acoustic patterns then generate the inferred articulatory movements for use with the templates. Articulatory movement data may be supplemented with characteristic acoustic information, e.g. relative power and high frequency data, to improve template recognition.

Papcun, George J. (Santa Fe, NM)

1995-01-01T23:59:59.000Z

239

OpenEI - hourly data  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm4980 en Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and diffuse) data for selected stations in Sri Lanka from...

240

Transitioning to 12-hour shifts  

Science Conference Proceedings (OSTI)

In 1989, Yankee Rowe nuclear power station successfully implemented a 12-hour shift schedule for all shiftworkers (control room personnel, auxiliary operators, and radiation protection shift technicians) with many positive effects on morale, motivation, and performance. The transition from an 8-hour to a 12-hour shift schedule was initiated, organized, and promoted by the shiftworkers themselves after they had identified numerous inadequacies in the 8-hour shift schedule. Preliminary and final implementation required several steps: (a) a survey of needs, (b) research of potential schedules, (c) cost/benefit analysis, (d) resolution of any union contract conflicts, (e) management approval, and (f) trial shift schedule periods.

Suter, P.S.; Cervassi, S.M.

1993-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

NERSC Franklin Hours Used Report  

NLE Websites -- All DOE Office Websites (Extended Search)

Franklin Hours Used Franklin Hours Used Franklin Hours Used 2011 Franklin Usage in Hours 2011 Franklin Usage in Hours 2010 2010 Franklin Usage in Hours 2009 2009 Franklin Usage in Hours 2007-2008 2008 Franklin Usage in Hours 2008 Franklin Usage in Hours Date Hours Used (in thousands) Percentage of Maximum Possible (24 hours/day) 04/28/2012 0.00 0.00 04/27/2012 272.62 29.40 04/26/2012 692.81 74.71 04/25/2012 841.60 90.75 04/24/2012 53.86 5.81 04/23/2012 432.01 46.59 04/22/2012 823.23 88.77 04/21/2012 473.95 51.11 04/20/2012 173.75 18.74 04/19/2012 449.22 48.44 04/18/2012 816.23 88.02 04/17/2012 754.35 81.34 04/16/2012 648.89 69.97 04/15/2012 812.25 87.59 04/14/2012 843.46 90.95 04/13/2012 737.46 79.52 04/12/2012 711.97 76.77 04/11/2012 734.65 79.22 04/10/2012 815.65 87.95 04/09/2012 897.25 96.75

242

A Quality-Control and Bias-Correction Method Developed for Irregularly Spaced Time Series of Observational Pressure Data  

Science Conference Proceedings (OSTI)

This paper presents a method to detect and correct occurring biases in observational mean sea level pressure (MSLP) data, which was developed within the Mesoscale Alpine Climate Dataset [MESOCLIM; i.e., 3-hourly MSLP, potential and equivalent ...

Stefan Sperka; Reinhold Steinacker

2011-10-01T23:59:59.000Z

243

Beyond long memory in heart rate variability: An approach based on fractionally integrated autoregressive moving average time series models with conditional heteroscedasticity  

Science Conference Proceedings (OSTI)

Heart Rate Variability (HRV) series exhibit long memory and time-varying conditional variance. This work considers the Fractionally Integrated AutoRegressive Moving Average (ARFIMA) models with Generalized AutoRegressive Conditional Heteroscedastic (GARCH) errors. ARFIMA-GARCH models may be used to capture and remove long memory and estimate the conditional volatility in 24 h HRV recordings. The ARFIMA-GARCH approach is applied to fifteen long term HRV series available at Physionet

2013-01-01T23:59:59.000Z

244

Capabilities Series  

NLE Websites -- All DOE Office Websites (Extended Search)

Capabilities Series Capabilities Series www.emsl.pnl.gov Scientific Innovation Through Integration WHY USE EMSL'S MOLECULAR SCIENCE COMPUTING CAPABILITY? Ì Molecular Science Computing provides users with an integrated suite of computing hardware and software capabilities optimized for achieving the fastest time-to-solution for complex systems-level environmental molecular science simulations. Ì Expert staff members have extensive knowledge and experience in high-performance computing, as well as the operations, domain expertise, and scientific knowledge to support EMSL's users. Ì Substantial integration of transformational high-end computing simulations with experimental resources at EMSL provides a unique multidisciplinary research environment. The Molecular Science Computing capability at EMSL

245

BNL | Center for Functional Nanomaterials Hours of Operation  

NLE Websites -- All DOE Office Websites (Extended Search)

CFN Hours of Operation CFN Hours of Operation Normal working hours at the CFN are 8 a.m. to 6 p.m. Working Outside of Normal Hours CFN scientific and technical personnel, as well as external users, may need to work outside of normal operating hours, during which time support is limited and many colleagues may not be around. Therefore, working outside the 8 a.m. to 6 p.m. envelope on weekdays, or anytime on weekends and holidays, requires special precautions, especially if working in a laboratory. CFN users are expected to work at the CFN during normal working hours. Users with extensive experience working at the CFN may be granted permission by the appropriate facility leader and ES&H Coordinator to work after hours. Users first must complete the Request to Work After-Hours at

246

A Method of Estimating Space-Time Spectra from Polar-Orbiting Satellite Data  

Science Conference Proceedings (OSTI)

Space-time spectral formulas are modified to estimate wavenumber-frequency spectra correctly from space-time series data sampled at the same local time but at different hours of a day by a polar-orbiting satellite.

Yoshikazu Hayashi

1980-06-01T23:59:59.000Z

247

Teach Yourself in 24 Hours  

E-Print Network (OSTI)

"ations .................................................. 302 Reclaiming Memory with the kill Command .................................. 303 Getting System Load in a retrieval system, or transmitted by any means, electronic, mechanical, photo- copying, recording 1 Hour 1 Preparing to Install Linux 3 2 Installing Linux 11 3 Configuring the X Window System 31

Eckmiller, Rolf

248

Analysis based on the Wavelet & Hilbert Transforms applied to the full time series of interbeats for a triad of failures at the heart  

E-Print Network (OSTI)

A tetra of sets which elements are time series including interbeats has been obtained from the databank Physionet-MIT-BIH, corresponding to the following failures at the heart of humans: Obstructive Sleep Apnea, Congestive Heart Failure, and Atrial Fibrillation, and has been analyzed statistically using an already known technique based on the Wavelet and Hilbert Transforms. That technique has been applied to the time series of interbeats for 87 patients in order to find the intrinsical dynamics of their hearts. The length of the times series varies approachly from 7 to 24 h. The kind of wavelet selected for the study has been any one belonging to the families: Daubechies, Biortoghonal, and Gaussian. The analysis has been done for the complet set of scales ranging from: 1-128 heartbeats. Choosing the Biorthogonal wavelet: bior3.1, it is observed: (a) That a time serie has not to be cutted in shorter periods with the purpose of obtaining the collapse of the data, (b) An analytical, universal behavior of the dat...

Ritto, P A

2007-01-01T23:59:59.000Z

249

Using remote-sensing data to determine equilibrium-line altitude and mass-balance time series: validation on three French glaciers,  

E-Print Network (OSTI)

Using remote-sensing data to determine equilibrium-line altitude and mass-balance time series to calculate glacier mass balance using remote-sensing data. Snowline measurements from remotely sensed images by ground measurements and remote sensing are compared and show excellent correlation (r2 > 0.89), both

Rabatel, Antoine

250

NERSC Carver Hours Used Report  

NLE Websites -- All DOE Office Websites (Extended Search)

Carver Hours Carver Hours Used Carver Hours Used Hopper Usage Chart Hopper Usage Chart Date Hours Used (in millions) Percent of Maximum Possible (24 hours/day) 01/05/2014 170.00 89.35 01/04/2014 174.38 91.65 01/03/2014 174.15 91.53 01/02/2014 179.72 94.45 01/01/2014 173.76 91.32 12/31/2013 172.25 90.53 12/30/2013 169.62 89.14 12/29/2013 164.72 86.57 12/28/2013 177.92 93.51 12/27/2013 171.61 90.19 12/26/2013 172.74 90.79 12/25/2013 172.13 90.46 12/24/2013 173.48 91.18 12/23/2013 174.92 91.93 12/22/2013 175.26 92.11 12/21/2013 173.58 91.23 12/20/2013 174.50 91.71 12/19/2013 170.02 89.36 12/18/2013 178.25 93.68 12/17/2013 176.17 92.59 12/16/2013 162.03 85.16 12/15/2013 157.09 82.56 12/14/2013 173.40 91.13 12/13/2013 185.02 97.24 12/12/2013 150.91 79.31 12/11/2013 31.67 16.64 12/10/2013 92.44 48.58

251

hourly data | OpenEI  

Open Energy Info (EERE)

data data Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. Source U.S. National Renewable Energy Laboratory (NREL) Date Released May 03rd, 2005 (9 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DNI GHI hourly data NREL solar Sri Lanka SWERA TILT TMY UNEP Data application/zip icon Download TMY data (zip, 67.5 MiB)

252

Predicting hourly building energy usage  

SciTech Connect

This article presents the results of an evaluation to identify the most accurate method for making hourly energy use predictions. The prediction of energy usage by HVAC systems is important for the purposes of HVAC diagnostics, system control, parameter and system identification, optimization and energy management. Many new techniques are now being applied to the analysis problems involved with predicting the future behavior of HVAC systems and deducing properties of these systems. Similar problems arise in most observational disciplines, including physics, biology and economics.

Kreider, J.F. (Univ. of Colorado, Boulder, CO (United States). Dept. of Civil, Environmental and Architectural Engineering); Haberl, J.S. (Texas A and M Univ., College Station, TX (United States). Mechanical Engineering Dept.)

1994-06-01T23:59:59.000Z

253

Estimation of Daily Degree-hours  

Science Conference Proceedings (OSTI)

Degree-hours have many applications in fields such as agriculture, architecture, and power generation. Since daily mean temperatures are more readily available than hourly temperatures, the difference between mean daily degree-hours computed from ...

Nathaniel B. Guttman; Richard L. Lehman

1992-07-01T23:59:59.000Z

254

Estimating damping effectiveness of BPA`s thyristor controlled series capacitor by applying time and frequency domain methods to measured response  

Science Conference Proceedings (OSTI)

Recently, a 500-kV thyristor controlled series capacitor (TCSC) was installed in the Bonneville Power Administration system in the northwestern US. Extensive field testing has included modulation experiments to determine the effect of the TCSC on low-frequency oscillations. This paper discusses modulation procedures, analysis methods, and results for estimating the damping effectiveness of the TCSC. Modulation methods include driving the TCSC with step and random noise, and analysis techniques include time (Prony analysis) and frequency-domain identification. Results indicate that: (1) the TCSC can have significant impact on system dynamics; and (2) under a very small feedback gain, the TCSC provides measurable added damping.

Trudnowski, D.J.; Donnelly, M.K.; Hauer, J.F. [Pacific Northwest Lab., Richland, WA (United States)

1996-05-01T23:59:59.000Z

255

The Autocorrelation of Hourly Wind Speed Observations  

Science Conference Proceedings (OSTI)

The autocorrelation of hourly wind speed observations is estimated for seven stations on the west coast of Canada at selected lags ranging from one hour to two months. The estimated autocorrelation function is fitted by a model that includes a ...

Arthur C. Brett; Stanton E. Tuller

1991-06-01T23:59:59.000Z

256

Series Crimes  

E-Print Network (OSTI)

Puiseux series are power series in which the exponents can be fractional and/or negative rational numbers. Several computer algebra systems have one or more built-in or loadable functions for computing truncated Puiseux series. Some are generalized to allow coe?cients containing functions of the series variable that are dominated by any power of that variable, such as logarithms and nested logarithms of the series variable. Some computer algebra systems also have built-in or loadable functions that compute infinite Puiseux series. Unfortunately, there are some little-known pitfalls in computing Puiseux series. The most serious of these is expansions within branch cuts or at branch points that are incorrect for some directions in the complex plane. For example with each series implementation accessible to you: Compare the value of (z^2 + z^3)^(3/2) with that of its truncated series expansion about z = 0, approximated at z = -0.01. Does the series converge to a value that is the negative of the correct value? C...

Stoutemyer, David R

2012-01-01T23:59:59.000Z

257

Virtualizing office hours in CS 50  

Science Conference Proceedings (OSTI)

In Fall 2007, we introduced "virtual office hours" into Harvard College's introductory computer science course, CS 50, so that students could meet with teaching fellows (TFs) online to discuss problem sets at any hour from anywhere. Our goals were to ... Keywords: CSCW, collaboration, distance education, virtual office hours

David J. Malan

2009-07-01T23:59:59.000Z

258

Report of 1,000 Hour Catalyst Longevity Evaluation  

DOE Green Energy (OSTI)

This report presents the results of a 1,000 hour, high-pressure, catalyst longevity test for the decomposition of concentrated sulfuric acid. The reaction is used for both the sulfur-iodine (S-I) cycle and hybrid sulfur cycle. By the time of the delivery date of April 17, 2009, for project milestone no. 2NIN07TC050114, the 1% Pt/TiO2 catalyst had been in the reaction environment for 658 hours. During the first 480 hours of testing, the catalyst activity provided stable, near-equilibrium yields of 46.8% SO2 and 22.8% O2. However, product yields declined at sample exposure times >480 hours. At 658 hours of operation, catalyst activity (based on oxygen yield) declined to 57% relative to the stable period of catalyst activity. Thus, as of April 17, this catalyst did not provide the desired stability level of <10% degradation per 1,000 hours. The experiment was terminated on April 27, after 792 hours, when a fitting failed and the catalyst was displaced from the reactor such that the sample could not be recovered. Oxygen conversion at the end of the experiment was 12.5% and declining, suggesting that at that point, catalyst activity had decreased to 54% of the initial level.

Daniel M. Ginosar

2009-06-01T23:59:59.000Z

259

Development of an Hourly Optimization Tool for Renewable Energy Systems  

SciTech Connect

An hourly optimization tool is developed to select and size renewable energy (RE) systems to meet the energy needs for various federal facilities. The optimization is based on life cost analysis of various RE technologies including wind and PV systems. The developed hourly optimization tool is used to evaluate the cost-effectiveness of RE technologies using complex energy and demand charges such time-of-use (TOU) rates. The paper compares results obtained using hourly analysis instead of annual based calculations to optimize the sizing of RE systems for residential, commercial, and industrial facilities in three representative US climates.

Lee, C.; Walker, A.; Krarti, M.

2010-01-01T23:59:59.000Z

260

VisIO: enabling interactive visualization of ultra-scale, time-series data via high-bandwidth distributed I/O systems  

Science Conference Proceedings (OSTI)

Petascale simulations compute at resolutions ranging into billions of cells and write terabytes of data for visualization and analysis. Interactive visuaUzation of this time series is a desired step before starting a new run. The I/O subsystem and associated network often are a significant impediment to interactive visualization of time-varying data; as they are not configured or provisioned to provide necessary I/O read rates. In this paper, we propose a new I/O library for visualization applications: VisIO. Visualization applications commonly use N-to-N reads within their parallel enabled readers which provides an incentive for a shared-nothing approach to I/O, similar to other data-intensive approaches such as Hadoop. However, unlike other data-intensive applications, visualization requires: (1) interactive performance for large data volumes, (2) compatibility with MPI and POSIX file system semantics for compatibility with existing infrastructure, and (3) use of existing file formats and their stipulated data partitioning rules. VisIO, provides a mechanism for using a non-POSIX distributed file system to provide linear scaling of 110 bandwidth. In addition, we introduce a novel scheduling algorithm that helps to co-locate visualization processes on nodes with the requested data. Testing using VisIO integrated into Para View was conducted using the Hadoop Distributed File System (HDFS) on TACC's Longhorn cluster. A representative dataset, VPIC, across 128 nodes showed a 64.4% read performance improvement compared to the provided Lustre installation. Also tested, was a dataset representing a global ocean salinity simulation that showed a 51.4% improvement in read performance over Lustre when using our VisIO system. VisIO, provides powerful high-performance I/O services to visualization applications, allowing for interactive performance with ultra-scale, time-series data.

Mitchell, Christopher J [Los Alamos National Laboratory; Ahrens, James P [Los Alamos National Laboratory; Wang, Jun [UCF

2010-10-15T23:59:59.000Z

Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Middle-term electrical load forecasting by time series decomposition. Report for EUNITE 2001 Competition, 2001. Available at http://neuron.tuke.sk/competition  

E-Print Network (OSTI)

Abstract. We present the results of our work in the frame of World-Wide Competition organized within the EUNITE network. For the middle-term electric load forecasting task with prediction horizon 1-31 days ahead we decided to develop a simple model based on decomposition of analyzed time series. The additive components were estimated using the training data collected by the Eastern Slovakian Electricity Corporation during the period 1997-1998. The model was validated by using of the real data from the first 20 days in December 1998. For final application the model was retrained and the requested forecasts were performed. The temperatures in January 1999, which form the inputs to the model, were estimated by moving average methods applied on historical data sets. 1

Emil Pelikn

2002-01-01T23:59:59.000Z

262

The use of real-time off-site observations as a methodology for increasing forecast skill in prediction of large wind power ramps one or more hours ahead of their impact on a wind plant.  

SciTech Connect

ABSTRACT Application of Real-Time Offsite Measurements in Improved Short-Term Wind Ramp Prediction Skill Improved forecasting performance immediately preceding wind ramp events is of preeminent concern to most wind energy companies, system operators, and balancing authorities. The value of near real-time hub height-level wind data and more general meteorological measurements to short-term wind power forecasting is well understood. For some sites, access to onsite measured wind data - even historical - can reduce forecast error in the short-range to medium-range horizons by as much as 50%. Unfortunately, valuable free-stream wind measurements at tall tower are not typically available at most wind plants, thereby forcing wind forecasters to rely upon wind measurements below hub height and/or turbine nacelle anemometry. Free-stream measurements can be appropriately scaled to hub-height levels, using existing empirically-derived relationships that account for surface roughness and turbulence. But there is large uncertainty in these relationships for a given time of day and state of the boundary layer. Alternatively, forecasts can rely entirely on turbine anemometry measurements, though such measurements are themselves subject to wake effects that are not stationary. The void in free-stream hub-height level measurements of wind can be filled by remote sensing (e.g., sodar, lidar, and radar). However, the expense of such equipment may not be sustainable. There is a growing market for traditional anemometry on tall tower networks, maintained by third parties to the forecasting process (i.e., independent of forecasters and the forecast users). This study examines the value of offsite tall-tower data from the WINDataNOW Technology network for short-horizon wind power predictions at a wind farm in northern Montana. The presentation shall describe successful physical and statistical techniques for its application and the practicality of its application in an operational setting. It shall be demonstrated that when used properly, the real-time offsite measurements materially improve wind ramp capture and prediction statistics, when compared to traditional wind forecasting techniques and to a simple persistence model.

Martin Wilde, Principal Investigator

2012-12-31T23:59:59.000Z

263

OpenEI - hourly emission factors  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm4640 en Hourly Energy Emission Factors for Electricity Generation in the United States http:en.openei.orgdatasetsnode488...

264

Poincar series  

Science Conference Proceedings (OSTI)

It is known that the series ~(v, k; G) are parabolic forms with respect to the subgroup. G and generate the whole space of parabolic forms Sk(G). Petersson...

265

Team Surpasses 1 Million Hours Safety Milestone | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone October 30, 2013 - 12:00pm Addthis The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. NISKAYUNA, N.Y. - Vigilance and dedication to safety led the EM program's disposition project team at the Separations Process Research Unit (SPRU) to achieve a milestone of one million hours - over two-and-a-half-years - without injury or illness resulting in time away from work.

266

Team Surpasses 1 Million Hours Safety Milestone | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone October 30, 2013 - 12:00pm Addthis The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. NISKAYUNA, N.Y. - Vigilance and dedication to safety led the EM program's disposition project team at the Separations Process Research Unit (SPRU) to achieve a milestone of one million hours - over two-and-a-half-years - without injury or illness resulting in time away from work.

267

DOE Awards 265 Million Hours of Supercomputing Time to Advance...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

in Illinois, as well as at the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory in California, and the Molecular Science...

268

Pantex celebrates three million hours without a lost time injury...  

National Nuclear Security Administration (NNSA)

all of our activities at Pantex," he said. The hard work of the members of the division led to Pantex being named the High Explosives Center of Excellence for High Explosives...

269

Bradbury Science Museum announces winter opening hours  

NLE Websites -- All DOE Office Websites (Extended Search)

Bradbury Science Museum winter hours Bradbury Science Museum winter hours Bradbury Science Museum announces winter opening hours Museum will be closed on Christmas Day (December 25) and New Year's Day (January 1, 2011). December 21, 2010 Bradbury Science Museum Bradbury Science Museum Contact Communications Office (505) 667-7000 Often called "a window to the Laboratory," the museum annually attracts thousands of visitors from all over the world. LOS ALAMOS, New Mexico, December 21, 2010-Los Alamos National Laboratory's Bradbury Science Museum will be closed on Christmas Day (December 25) and New Year's Day (January 1, 2011). On all other days, the museum will observe regular opening hours: from 10 a.m. to 5 p.m. Tuesdays to Saturdays, and from 1 to 5 p.m. Sundays and Mondays. Often called "a window to the Laboratory," the museum annually attracts

270

Impact of Wind Energy on Hourly Load Following Requirements: An Hourly and Seasonal Analysis; Preprint  

Science Conference Proceedings (OSTI)

The impacts of wind energy on the power system grid can be decomposed into several time scales that include regulation, load following, and unit commitment. Techniques for evaluating the impacts on these time scales are still evolving, and as wind energy becomes a larger part of the electricity supply, valuable experience will be gained that will help refine these methods. Studies that estimated the impact of wind in the load following time scale found differing results and costs, ranging from near zero to approximately $2.50/megawatt-hour (MWh). Part of the reason for these differences is the different interpretation of the impacts that would be allocated to this ancillary service. Because of the low correlation between changes in load and wind, long-term analyses of the load following impact of wind may find low impacts. During the daily load cycle, there is a tremendous variability in load following requirements in systems without wind. When significant levels of wind generation are added to the resource mix, relatively small changes in wind output can complicate the task of balancing the system during periods of large load swings. This paper analyzes the load following impacts of wind by segregating these critical time periods of the day and separating the analysis by season. The analysis compares wind generation at geographically dispersed sites to wind generation based primarily at a single site, and for a large penetration of wind (more than 20% wind capacity to peak load).

Krich, A.; Milligan, M.

2005-05-01T23:59:59.000Z

271

Continuous Time Series of Catchment-Averaged Sensible Heat Flux from a Large Aperture Scintillometer: Efficient Estimation of Stability Conditions and Importance of Fluxes under Stable Conditions  

Science Conference Proceedings (OSTI)

A large aperture scintillometer (LAS) observes the intensity of the atmospheric turbulence across large distances, which is related to the path-averaged sensible heat flux H. In this paper, two problems in the derivation of continuous series of H ...

Bruno Samain; Willem Defloor; Valentijn R. N. Pauwels

2012-04-01T23:59:59.000Z

272

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

next days hourly electricity prices? ( CHECK ONLY ONE ) 1.to Real Time Electricity Prices, Unpublished Manuscript atahead Wholesale Market Electricity Prices: Case Study of RTP

2005-01-01T23:59:59.000Z

273

Question of the Week: How Are You Observing Earth Hour? | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Are You Observing Earth Hour? Are You Observing Earth Hour? Question of the Week: How Are You Observing Earth Hour? March 26, 2009 - 12:16pm Addthis This Saturday, March 28th, people around the world will observe Earth Hour at 8:30 p.m. local time-whatever the local time zone happens to be-by switching off their lights for one hour. While many people are taking part by simply shutting off their lights and lighting some candles, some communities are hosting gatherings or events around Earth Hour. How are you observing Earth Hour? Each Thursday, you have the chance to share your thoughts on a topic related to energy efficiency or renewable energy for consumers. Please e-mail your responses to the Energy Saver team at consumer.webmaster@nrel.gov. Addthis Related Articles Question of the Week: How Will You Save Energy this Spring?

274

hourly solar radiation | OpenEI  

Open Energy Info (EERE)

solar radiation solar radiation Dataset Summary Description (Abstract): A need for predicting hourly global radiation exists for many locations particularly in Bangladesh for which measured values are not available and daily values have to be estimated from sunshine data. The CPRG model has been used to predict values of hourly Gh for Dhaka (23.770N, 90.380E), Chittagong (22.270N, 91.820E) and Bogra (24.850N, 89.370E) for = ±7.50, ±22.50, ±37.50, ±52.50, ±67.50, ±82.50 and ±97.50 i.e., for ±1/2, ±3/2, ±5/2, ±7/2, ±9/2, ±11/2, ±13/2 hours before and after solar noon and the computed values for Source Renewable Energy Research Centre Date Released October 22nd, 2003 (11 years ago) Date Updated Unknown Keywords Bangladesh documentation hourly solar radiation SWERA

275

Life of a Six-Hour Hurricane  

Science Conference Proceedings (OSTI)

Hurricane Claudette developed from a weak vortex in 6 h as deep convection shifted from downshear into the vortex center, despite ambient vertical wind shear exceeding 10 m s?1. Six hours later it weakened to a tropical storm, and 12 h after the ...

Kay L. Shelton; John Molinari

2009-01-01T23:59:59.000Z

276

NERSC Edison Phase I Hours Used Report  

NLE Websites -- All DOE Office Websites (Extended Search)

Edison Phase I Hours Used Edison Phase I Hours Used Edison Phase I Hours Used Edison Usage Chart Edison Usage Chart Date Hours Used (in millions) Percent of Maximum Possible (24 hours/day) 06/23/2013 0.226 88.6 06/22/2013 0.239 93.9 06/21/2013 0.248 97.1 06/20/2013 0.240 94.0 06/19/2013 0.233 91.3 06/18/2013 0.245 96.0 06/17/2013 0.251 98.4 06/16/2013 0.243 95.3 06/15/2013 0.245 95.9 06/14/2013 0.246 96.5 06/13/2013 0.240 94.1 06/12/2013 0.128 50.4 06/11/2013 0.215 84.5 06/10/2013 0.225 88.4 06/09/2013 0.228 89.6 06/08/2013 0.225 88.3 06/07/2013 0.121 47.5 06/06/2013 0.223 87.4 06/05/2013 0.250 98.0 06/04/2013 0.234 91.6 06/03/2013 0.218 85.5 06/02/2013 0.246 96.4 06/01/2013 0.230 90.0 05/31/2013 0.215 84.5 05/30/2013 0.212 83.1 05/29/2013 0.223 87.3 05/28/2013 0.237 93.0 05/27/2013 0.226 88.5 05/26/2013 0.229 89.9

277

An improved procedure for developing a calibrated hourly simulation model of an electrically heated and cooled commercial building  

E-Print Network (OSTI)

With the increased use of building energy simulation programs, calibration of simulated data to measured data has been recognized as an important factor in substantiating how well the model fits a real building. Model calibration to measured monthly utility data has been utilized for many years. Recently, efforts have reported calibrated models at the hourly level. Most of the previous methods have relied on very simple comparisons including bar charts, monthly percent difference time-series graphs, and x-y scatter plots. A few advanced methods have been proposed as well which include carpet plots and comparative 3-D time-series plots. Unfortunately, at hourly levels of calibration, many of the traditional graphical calibration techniques become overwhelmed with data and suffer from data overlap. In order to improve upon previously established techniques, this thesis presents new calibration methods including temperature binned box-whisker-mean analysis to improve x-y scatter plots, 24-hour weather-daytype box-whisker-mean graphs to show hourly temperature-dependent energy use profiles, and 52-week box-whisker-mean plots to display long-term trends. In addition to the graphical calibration techniques, other methods are also used including indoor temperature calibration to improve thermostat schedules and architectural rendering as a means of verifying the building envelope dimensions and shading placement. Several statistical methods are also reviewed for their appropriateness including percent difference, mean bias error (MBE), and the coefficient of variation of the root mean squared error. Results are presented using a case study building located in Washington, D.C. In the case study building, nine months of hourly whole-building electricity data and site-specific weather data were measured and used with the DOE-2. 1D building simulation program to test the new techniques. Use of the new calibration procedures were able to produce a MBE of-0.7% and a CV(RMSE) of 23. 1 % which compare favorably with the most accurate hourly neural network models.

Bou-Saada, Tarek Edmond

1994-01-01T23:59:59.000Z

278

Series A.  

Office of Legacy Management (LM)

.WGJPH-146 ' .WGJPH-146 ' 3 .P' , p3 ."J$i v-e- \. Cont&ning 3 pages Consisting of 0 figuree. Copy No. &of-G copies Series A. , / October 19, 1943 I:. ;I, ' , r;l ?" I ' I' 0 : J. Chipman r'rcro: John P. Howe In Re: Trip to ClYveland, Ohio, October 11, I.943 Thie is to report on the conference held on October 11th in which the pro+. 'g'.*rSs of the coating pork at the Cirasselli Labara*torios ores reviewed. lh05e pToSs;lt were: A. S. I?;ey,uendt; J, C. !'ioodhouse; M. T. Goebel; L. R. kstbrook; .4. Ii. Gray; J. P. Howe; Z. Ft. Keller. YI.,XTFXIP~UTIN~ - A, G. Grcv --- Gray summar ized the progress j;n ,elactropkti:~y, much as is givan ic Yr:e : &.$. .:r : -3 reports of the !l'whnicriL Division. ,. .I c.. , lhe.main points were: ~~'orit i< f:c~!--

279

What do hourly performance data on a building tell us  

DOE Green Energy (OSTI)

Hourly performance data on a building contain valuable information on the dynamics of the building and of the HVAC systems. Quantities such as the building loss coefficient, solar gains, and the net effect of thermal masses and their couplings are all contained in the data. The building element vector analysis (BEVA) method has been applied to a multizone residential passive solar building monitored under the SERI Class B program. Using short-term data (approximately one week), the building parameters were regressed. With these as inputs, the subsequent performance of the building was well predicted. Using performance data for the period February 3-9, 1982, the building vectors were obtained by regression. The resulting best fit for the zone temperature is given. These parameters were used to predict the temperature for the period February 10-14. The resulting values are also plotted along with the outdoor temperature, solar radiation on a south vertical surface, and auxiliary energy for these periods.

Subbarao, K.

1984-11-01T23:59:59.000Z

280

Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production  

NLE Websites -- All DOE Office Websites (Extended Search)

Hour-by-Hour Cost Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production Genevieve Saur (PI), Chris Ainscough (Presenter), Kevin Harrison, Todd Ramsden National Renewable Energy Laboratory January 17 th , 2013 This presentation does not contain any proprietary, confidential, or otherwise restricted information 2 Acknowledgements * This work was made possible by support from the U.S. Department of Energy's Fuel Cell Technologies Office within the Office of Energy Efficiency and Renewable Energy (EERE). http://www.eere.energy.gov/topics/hydrogen_fuel_cells.html * NREL would like to thank our DOE Technology Development Managers for this project, Sara Dillich, Eric Miller, Erika Sutherland, and David Peterson. * NREL would also like to acknowledge the indirect

Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
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281

DOE Awards Over a Billion Supercomputing Hours to Address Scientific...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Over a Billion Supercomputing Hours to Address Scientific Challenges DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges January 26, 2010 - 12:00am...

282

hourly emission factors | OpenEI  

Open Energy Info (EERE)

60 60 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278660 Varnish cache server hourly emission factors Dataset Summary Description Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control. Source NREL Date Released April 11th, 2011 (3 years ago) Date Updated April 11th, 2011 (3 years ago)

283

Multi-hour network planning based on domination between sets of traffic matrices  

Science Conference Proceedings (OSTI)

In multi-hour network design, periodic traffic variations along time are considered in the dimensioning process. Then, the non coincidence of traffic peaks along the day or the week can be exploited. This paper investigates the application of the traffic ... Keywords: Multi-hour traffic, Network planning, Traffic domination

P. Pavon-Marino; B. Garcia-Manrubia; R. Aparicio-Pardo

2011-02-01T23:59:59.000Z

284

Distinguished Lecture Series  

NLE Websites -- All DOE Office Websites (Extended Search)

Distinguished Lecture Series Distinguished Lecture Series Long Fuse, Big Bang: Thomas Edison, Electricity, and the Locus of Innovation Andrew Hargadon October 22, 2012 - 12:00pm...

285

Time Series of Aerosol Column Optical Depth at the Barrow, Alaska, ARM Climate Research Facility for 2008 Fourth Quarter 2009 ARM and Climate Change Prediction Program Metric Report  

Science Conference Proceedings (OSTI)

The uncertainties in current estimates of anthropogenic radiative forcing are dominated by the effects of aerosols, both in relation to the direct absorption and scattering of radiation by aerosols and also with respect to aerosol-related changes in cloud formation, longevity, and microphysics (See Figure 1; Intergovernmental Panel on Climate Change, Assessment Report 4, 2008). Moreover, the Arctic region in particular is especially sensitive to changes in climate with the magnitude of temperature changes (both observed and predicted) being several times larger than global averages (Kaufman et al. 2009). Recent studies confirm that aerosol-cloud interactions in the arctic generate climatologically significant radiative effects equivalent in magnitude to that of green house gases (Lubin and Vogelmann 2006, 2007). The aerosol optical depth is the most immediate representation of the aerosol direct effect and is also important for consideration of aerosol-cloud interactions, and thus this quantity is essential for studies of aerosol radiative forcing.

C Flynn; AS Koontz; JH Mather

2009-09-01T23:59:59.000Z

286

Time-series analysis for the episodic production and transport of methane from the Glacial Lake Agassiz peatlands, northern Minnesota. Final report  

SciTech Connect

The large peat basins of North America are an important reservoir in the global carbon cycle and a significant source of atmospheric methane. The authors investigated carbon cycling in the Glacial Lake Agassiz peatlands (GLAP) of Minnesota. Initially in 1990, they identified a dramatic change in the concentration of methane in the pore-waters of the raised bogs in the GLAP during an extreme drought. This methane dissipated when the drought broke in 1991 and the occurrence of deep methane is related to changes in the direction of groundwater flow in the peat column. The production of methane and its diffusive loss to the atmosphere was modeled and was about 10 times less than that measured directly in chambers at the land surface. It is clear from the reversals in hydraulic heat, changes in pore-water chemical composition over time, and paleostratigraphic markers, that regional ground water flow systems that are controlled by climate change are unexpectedly a major control over methanogenesis and carbon cycling in GLAP. Seismic profiles made showed that buried bedrock ridges particularly deflect regional groundwater flow upwards towards the land surface and towards raised bog landforms. In addition, high-resolution GPS measurements from data stations funded by this DOE project have shown this year that the peakland land surface elevation changes daily on a scale of cms, and seasonally on a scale of 10s of cm. This most recent observation is exciting because it may reflect episodic degassing of free phase methane from the peat column to the atmosphere, a source for methane previously unaccounted for by methane researchers.

Siegel, D.I.

1998-01-01T23:59:59.000Z

287

Results of the 1000 Hour Rotary Microfilter Endurance Test  

Stellite on Nitronic 60. 8 SRNL-L3100-2010-00229 Rotary Microfilter 1000 Hour Test Flux Data for 1000 Hour Test 0 1 2 3 4 5 6 0 100 200 300 400 500 ...

288

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Cuba from NREL Cuba from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

289

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Nepal from NREL Nepal from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

290

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Kenya from NREL Kenya from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

291

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

China from NREL China from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

292

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Bangladesh stations from NREL Bangladesh stations from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

293

The InterHourly-Variability (IHV) Index of Geomagnetic Activity and its Use in Deriving the Long-term Variation of Solar Wind Speed  

E-Print Network (OSTI)

We describe the derivation of the InterHourly Variability (IHV) index of geomagnetic activity. The IHV-index for a geomagnetic element is mechanically derived from hourly values as the sum of the unsigned differences between adjacent hours over a seven-hour interval centered on local midnight. The index is derived separately for stations in both hemispheres within six longitude sectors using only local night hours. It is intended as a long-term index. Available data allows derivation of the index back well into the 19th century. On a time scale of a 27-day Bartels rotation, IHV averages for stations with corrected geomagnetic latitude less than 55 degrees are strongly correlated with midlatitude range indices. Assuming a constant calibration of the aa-index we find that observed yearly values of aa before the year 1957 are 2.9 nT too small compared to values calculated from IHV using the regression constants based on 1980-2004. We interpret this discrepancy as an indication that the calibration of the aa index is in error before 1957. There is no such problem with the ap index. Rotation averages of IHV are also strongly correlated with solar wind parameters (BV^2). On a time scale of a year combining the IHV-index and the recently-developed Inter-Diurnal Variability (IDV) index (giving B) allows determination of solar wind speed, V, from 1890-present. Over the ~120-year series, the yearly mean solar wind speed varied from a low of 303 km/s in 1902 to a high value of 545 km/s in 2003. The calculated yearly values of the product BV using B and V separately derived from IDV and IHV agree quantitatively with (completely independent) BV derived from the amplitude of the diurnal variation of the H component in the polar caps since 1926 and sporadically beyond.

Leif Svalgaard; Edward W. Cliver

2007-06-07T23:59:59.000Z

294

Average Data for Each Choke Setting (before 24-May 2010 06:00), 6-hour average (  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Average Data for Each Choke Setting (before 24-May 2010 06:00), 6-hour average (after 24-May 2010 06:00):" Average Data for Each Choke Setting (before 24-May 2010 06:00), 6-hour average (after 24-May 2010 06:00):" ,,"Choke","Average","Average","Fluid","Methanol","Water","Oil","Gas","Hyd. Eq.","Gas" ,"Choke","Setting","Upstream","Upstream","Recovery","Recovery","Recovery","Recovery","Recovery","Recovery","Recovery" "Date and Time","Setting","Duration","Pressure","Temp.","Rate","Rate","Rate","Rate","Rate","Rate","Portion" "dd-mmm-yy","(64ths)","(hours)","(psia)","(degF)","(bfpd)","(bfpd)","(bwpd)","(bopd)","(mmcfpd)","(boepd)","(%)"

295

Testing for Drift in a Time Series  

E-Print Network (OSTI)

;c6#28; #16;t @ #22;i#16;}#4;|#16;?} u#3;?U|#16;L?c t#3;U#4; @t |#4;i #18;@h|*i|| #22;#16;?_L#22;c #25;E#12;c6#28; #3; m#12; m*E6n #28;c @?_ e #14;E#12;#28; #16;t |#4;i t@4T*i @#3;|LUL#15;@h#16;@?Ui Lu |#4;i hit#16;_#3;@*tc {+ | #3; e qc...

Busetti, Fabio; Harvey, Andrew C

2004-06-16T23:59:59.000Z

296

A Time Series of Agulhas Undercurrent Transport  

Science Conference Proceedings (OSTI)

A 550-day record of Agulhas Undercurrent transport between March 2003 and August 2004 is constructed from five deep moorings placed on the continental shelf off South Africa at nominally 32S. The vertical and lateral scales of the undercurrent ...

Lisa M. Beal

2009-10-01T23:59:59.000Z

297

Method for determination of .sup.18 O/.sup.16 O and .sup.2 H/.sup.1 H ratios and .sup.3 H (tritium) concentrations of xylem waters and subsurface waters using time series sampling  

DOE Patents (OSTI)

A method for determination of .sup.18 O/.sup.16 O and .sup.2 H/.sup.1 H ratios and .sup.3 H concentrations of xylem and subsurface waters using time series sampling, insulating sampling chambers, and combined .sup.18 O/.sup.16 O, .sup.2 H/.sup.1 H and .sup.3 H concentration data on transpired water. The method involves collecting water samples transpired from living plants and correcting the measured isotopic compositions of oxygen (.sup.18 O/.sup.16 O) and hydrogen (.sup.2 H/.sup.1 H and/or .sup.3 H concentrations) to account for evaporative isotopic fractionation in the leafy material of the plant.

Smith, Brian (1126 Delaware St., Berkeley, CA 94702); Menchaca, Leticia (1126 Delaware St., Berkeley, CA 94702)

1999-01-01T23:59:59.000Z

298

science_series_map  

NLE Websites -- All DOE Office Websites (Extended Search)

Science Series in CEBAF Center * The Science Series begins at 7:00 PM and typically ends near 8:00 PM * Park in the CEBAF Center parking lot * Enter CEBAF Center through the south...

299

Hospital Triage in First Hours After Nuclear or Radiological...  

NLE Websites -- All DOE Office Websites (Extended Search)

Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster Medical professionals with the Radiation Emergency Assistance CenterTraining Site (REACTS) at the...

300

Delayed Start or Cancellation of Business Hours | Argonne National...  

NLE Websites -- All DOE Office Websites (Extended Search)

Twitter Delayed Start or Cancellation of Business Hours Winter Road Closings Winter Weather FAQs Westgate Alternate Routes Reporting IllegalUnethical Activity Working Remotely...

Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Does EIA publish data on peak or hourly electricity ...  

U.S. Energy Information Administration (EIA)

Financial market analysis and financial ... load (or demand) data in our Electric Power Annual ... hourly load/demand profiles for some Independent ...

302

NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change  

NLE Websites -- All DOE Office Websites (Extended Search)

NOAA Awarded 2.6 NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models September 11, 2008 WASHINGTON, DC - The U.S. Department of Energy's (DOE) Office of Science will make available more than 10 million hours of computing time for the U.S. Commerce Department's National Oceanic and Atmospheric Administration (NOAA) to explore advanced climate change models at three of DOE's national laboratories as part of a three-year memorandum of understanding on collaborative climate research signed today by the two agencies. NOAA will work with climate change models as well as perform near real-time high-impact (non-production) weather prediction research using computing time on DOE Office of Science resources including two of the world's top

303

Fermilab Lecture Series and Events  

NLE Websites -- All DOE Office Websites (Extended Search)

Academic Lecture Series Academic Lecture Series Neutrino Oscillations Schedule Day Speaker Title Location Time March 18 and 25, 2003 (Tuesday) Andre de Gouvea Introduction to Neutrino Oscillations Curia II 10:30 A.M. - noon April 22 and 29, 2003 (Tuesday) Stephen Parke CP Violation in the Neutrino Sector Curia II 10:30 A.M. - noon May 6, 2003 (Tuesday) Boris Kayser The See Saw, and Neutrino Mixing and Oscillation Curia II 10:30 A.M. - noon May 13, 2002 (Tuesday) Boris Kayser Majorana Neutrinos, Majorana Masses, and Double Beta Decay Curia II 10:30 A.M. - noon May 13, 2002 (Tuesday) Boris Kayser Neutrino Puzzles and Leptogenesis Curia II 10:30 A.M. - noon Lattice QCD and the CKM Matrix: What, Why, and When You Should Believe. A series of four lectures reviewing the status and prospects of Lattice QCD

304

Series Transmission Line Transformer  

DOE Patents (OSTI)

A series transmission line transformer is set forth which includes two or more of impedance matched sets of at least two transmissions lines such as shielded cables, connected in parallel at one end ans series at the other in a cascading fashion. The cables are wound about a magnetic core. The series transmission line transformer (STLT) which can provide for higher impedance ratios and bandwidths, which is scalable, and which is of simpler design and construction.

Buckles, Robert A. (Livermore, CA); Booth, Rex (Livermore, CA); Yen, Boris T. (El Cerrito, CA)

2004-06-29T23:59:59.000Z

305

SERIES B: Operations Research  

E-Print Network (OSTI)

Tokyo Institute of Technology. SERIES B: Operations ... Department of Computer Science, The University of Electro-Communications,. Chofugaoka, Chofu-Shi...

306

Nuclear Science Series: Radiochemistry  

NLE Websites -- All DOE Office Websites (Extended Search)

Radiochemistry Nuclear Science Series: Radiochemistry These volumes are publicly accessible via the Library Catalog or the links below. Question? 667-5809 Email Scope This...

307

Testing time symmetry in time series using data compression dictionaries  

E-Print Network (OSTI)

1978). [12] It is a pre?x dictionary: for any codeword w =1 s 2 . . . s L in the dictionary, all pre?xes of w, e.g. ,j ? L are also in the dictionary. Parsing is greedy: search

Kennel, Matthew B

2004-01-01T23:59:59.000Z

308

A Quality Assurance System for Canadian Hourly Pressure Data  

Science Conference Proceedings (OSTI)

In this study a comprehensive quality assurance (QA) system, which includes the hydrostatic check combined with a statistical homogeneity test, is designed and applied to hourly pressure records (for 19532002) from 761 Canadian stations, to ...

Hui Wan; Xiaolan L. Wang; Val R. Swail

2007-11-01T23:59:59.000Z

309

Complex Quality Assurance of Historical Hourly Surface Airways Meteorological Data  

Science Conference Proceedings (OSTI)

A new complex quality assurance (QA) procedure is developed for historical hourly surface airways meteorological data, recently digitized in a U.S. governmentsponsored effort that extends the digital period of record back as early as the late ...

Daniel Y. Graybeal; Arthur T. DeGaetano; Keith L. Eggleston

2004-08-01T23:59:59.000Z

310

DOE Awards Over a Billion Supercomputing Hours to Address Scientific  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Over a Billion Supercomputing Hours to Address Over a Billion Supercomputing Hours to Address Scientific Challenges DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges January 26, 2010 - 12:00am Addthis Washington, DC. - The U.S. Department of Energy announced today that approximately 1.6 billion supercomputing processor hours have been awarded to 69 cutting-edge research projects through the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. The INCITE program provides powerful resources to enable scientists and engineers to conduct cutting-edge research in just weeks or months rather than the years or decades needed previously. This facilitates scientific breakthroughs in areas such as climate change, alternative energy, life sciences, and materials science.

311

DOE Awards Over a Billion Supercomputing Hours to Address Scientific  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

DOE Awards Over a Billion Supercomputing Hours to Address DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges January 26, 2010 - 12:00am Addthis Washington, DC. - The U.S. Department of Energy announced today that approximately 1.6 billion supercomputing processor hours have been awarded to 69 cutting-edge research projects through the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. The INCITE program provides powerful resources to enable scientists and engineers to conduct cutting-edge research in just weeks or months rather than the years or decades needed previously. This facilitates scientific breakthroughs in areas such as climate change, alternative energy, life

312

Global Solar Radiation Estimation from Relative Sunshine Hours in Italy  

Science Conference Proceedings (OSTI)

We examine the existing measurements of global solar radiation and sunshine duration for Italy, and evaluate the errors made in estimating global solar radiation from sunshine hours measurements. We find that the ngstromBlack linear relation in ...

A. Andretta; B. Bartoli; B. Coluzzi; V. Cuomo; M. Francesca; C. Serio

1982-10-01T23:59:59.000Z

313

Airport quotas and peak hour pricing : theory and practice  

E-Print Network (OSTI)

This report examines the leading theoretical studies not only of airport peak-hour pricing but also of the congestion costs associated with airport delays and presents a consistent formulation of both. The report also ...

Odoni, Amedeo R.

1976-01-01T23:59:59.000Z

314

An Hourly AssimilationForecast Cycle: The RUC  

Science Conference Proceedings (OSTI)

The Rapid Update Cycle (RUC), an operational regional analysisforecast system among the suite of models at the National Centers for Environmental Prediction (NCEP), is distinctive in two primary aspects: its hourly assimilation cycle and its use ...

Stanley G. Benjamin; Dezs Dvnyi; Stephen S. Weygandt; Kevin J. Brundage; John M. Brown; Georg A. Grell; Dongsoo Kim; Barry E. Schwartz; Tatiana G. Smirnova; Tracy Lorraine Smith; Geoffrey S. Manikin

2004-02-01T23:59:59.000Z

315

Hourly Energy Emission Factors for Electricity Generation in...  

Open Energy Info (EERE)

Hourly Energy Emission Factors for Electricity Generation in the United States

Emissions from energy use in buildings are usually estimated on an annual...

316

Climatology of Heavy Rain Events in the United States from Hourly Precipitation Observations  

Science Conference Proceedings (OSTI)

Flash flooding is frequently associated with heavy precipitation (defined here as ?1 in. h?1) occurring over a short period of time. To begin a study of flash floodproducing rain events, the Hourly Precipitation Dataset (HPD) is used to develop ...

Harold E. Brooks; David J. Stensrud

2000-04-01T23:59:59.000Z

317

Argonne CNM: 2012 Colloquium Series  

NLE Websites -- All DOE Office Websites (Extended Search)

2 Colloquium Series 2 Colloquium Series 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | Date Title Special Colloquium December 13, 2012 "Pathways to Complex Matter Far-Away-From Equilibrium: Developing Spatiotemporal Tools," by Gopal Shenoy, Argonne National Laboratory, hostged by Daniel Lopez Abstract: From the Big Bang to the coming of humankind, every manifestation of nature has exhibited processes far-away-from equilibrium leading to increasingly complex structural orders from geological to atomic length and time scales. Examples include the evolution of galaxies, hurricanes, stars, and planets; prebiotic reactions; cyclical reactions; photosynthesis; and life itself. The organizational spatiotemporal evolution in soft, hard, and biological matter also follows the same path. It begins from a far-from-equilibrium state and develops over time into organizations with length scales between atoms and small molecules on the one hand and mesoscopic matter on the other.

318

SBOT NAICS Series  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

SBOT NAICS Series 213112 Support Activities for Oil and Gas Operations NATIONAL ENERGY TECHNOLOGY LAB Larry Sullivan (412) 386-6115 larry.sullivan@netl.doe.gov NATIONAL ENERGY...

319

Form EIA-930 HOURLY AND DAILY BALANCING AUTHORITY OPERATIONS REPORT  

U.S. Energy Information Administration (EIA) Indexed Site

930 930 HOURLY AND DAILY BALANCING AUTHORITY OPERATIONS REPORT INSTRUCTIONS Due Date: mm/dd/yyyy Approved: OMB No. 1905-0129 Approval Expires: 10/31/2016 Burden: 0.19 hours Page 1 Draft for Discussion only PURPOSE Form EIA-930 requires Internet posting of hourly balancing authority operating data. The posted data are used to monitor the current status and trends of the electric power industry, and to support enhancement of electric system operations. REQUIRED RESPONDENTS For the contiguous United States: all entities that are listed in NERC's Compliance Registry as a balancing authority must post balancing authority operating information required by this survey. Other than the Midwest ISO (MISO), registered balancing authorities that are parties

320

Hourly Energy Emission Factors for Electricity Generation in the United  

Open Energy Info (EERE)

Hourly Energy Emission Factors for Electricity Generation in the United Hourly Energy Emission Factors for Electricity Generation in the United States Dataset Summary Description Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control. This project utilized GridViewTM, an electric grid dispatch software package, to estimate hourly emission factors for all of the eGRID subregions in the continental United States. These factors took into account electricity imports and exports

Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

INCITE Program Doles Out Hours on Supercomputers | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

INCITE Program Doles Out Hours on Supercomputers INCITE Program Doles Out Hours on Supercomputers INCITE Program Doles Out Hours on Supercomputers November 5, 2012 - 1:30pm Addthis Mira, the 10-petaflop IBM Blue Gene/Q system at Argonne National Laboratory, is capable of carrying out 10 quadrillion calculations per second. Each year researchers apply to the INCITE program to get to use this machine's incredible computing power. | Photo courtesy of Argonne National Lab. Mira, the 10-petaflop IBM Blue Gene/Q system at Argonne National Laboratory, is capable of carrying out 10 quadrillion calculations per second. Each year researchers apply to the INCITE program to get to use this machine's incredible computing power. | Photo courtesy of Argonne National Lab. Charles Rousseaux Charles Rousseaux Senior Writer, Office of Science

322

Renewable Energies program (6 credit hour) Option A: 11  

E-Print Network (OSTI)

Renewable Energies program (6 credit hour) Option A: 11 Option B: The program is organized by t Spanish Institute and the Asso program on renewable energy will provide students with advanced knowledge. opportunities: option A- two renewable energies; option B include on-site visits to renewable energy generation

Simaan, Nabil

323

A Quality-Control Routine for Hourly Wind Observations  

Science Conference Proceedings (OSTI)

The quality of hourly wind speed and direction observations from 41 northeastern U.S. first-order weather stations is evaluated with regard to the recognition of individual observations that are either obviously in error or of suspect quality. An ...

Arthur T. DeGaetano

1997-04-01T23:59:59.000Z

324

Storing hydroelectricity to meet peak-hour demand  

Science Conference Proceedings (OSTI)

This paper reports on pumped storage plants which have become an effective way for some utility companies that derive power from hydroelectric facilities to economically store baseload energy during off-peak hours for use during peak hourly demands. According to the Electric Power Research Institute (EPRI) in Palo Alto, Calif., 36 of these plants provide approximately 20 gigawatts, or about 3 percent of U.S. generating capacity. During peak-demand periods, utilities are often stretched beyond their capacity to provide power and must therefore purchase it from neighboring utilities. Building new baseload power plants, typically nuclear or coal-fired facilities that run 24 hours per day seven days a week, is expensive, about $1500 per kilowatt, according to Robert Schainker, program manager for energy storage at the EPRI. Schainker the that building peaking plants at $400 per kilowatt, which run a few hours a day on gas or oil fuel, is less costly than building baseload plants. Operating them, however, is more expensive because peaking plants are less efficient that baseload plants.

Valenti, M.

1992-04-01T23:59:59.000Z

325

Distinguished Lecturers Series  

NLE Websites -- All DOE Office Websites (Extended Search)

Videos Videos Lawrence Berkeley National Laboratory Environmental Energy Technologies Division Distinguished Lecture Series Environmental Energy Technologies Division Distinguished Lecture Series Videos Long Fuse, Big Bang: Thomas Edison, Electricity, and the Locus of Innovation Andrew Hargadon, October 22, 2012 Climate Change Hits Home: Impacts on the Built Environment and Health John Spengler, June 18, 2012 High Comfort-Low Impact, From Buildings to Cities Matthias Schuler, April 30, 2012 Emissions Trading and Climate Finance: Is 2012 the Dead End or the Crossroads? Marc Stuart, January 27, 2012 Advances in Global Climate Modeling for Scientific Understanding and Predictability V. Ramaswamy, October 7, 2011 How is Building Energy Use Related to Occupant Behaviors and Building Usage

326

Distinguished Lecturers Series  

NLE Websites -- All DOE Office Websites (Extended Search)

Past Seminars Past Seminars Lawrence Berkeley National Laboratory Environmental Energy Technologies Division Distinguished Lecture Series Environmental Energy Technologies Division Distinguished Lecture Series Andrew Hargadon October 22, 2012 Long Fuse, Big Bang: Thomas Edison, Electricity, and the Locus of Innovation Andrew Hargadon Charles J. Soderquist Chair in Entrepreneurship Professor of Technology Management at the Graduate School of Management University of California, Davis John Spengler June 18, 2012 Climate Change Hits Home: Impacts on the Built Environment and Health John Spengler Akira Yamaguchi Professor of Environmental Health & Human Habitation Harvard School of Public Health and Director of the Sustainability and Environmental Management Program Harvard Extension School

327

Jefferson Lab Science Series - Current Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

Current Science Series Schedule Current Science Series Schedule Lectures are free and open to students and adults with an interest in science. All lectures begin at 7:00 pm in CEBAF Center Auditorium [Download a Map] [Locate Jefferson Lab on Google Maps] [Display a QR Code for Scanning] and last for about an hour. Seating in the CEBAF Center Auditorium and overflow area is limited to about 300 people. Seating is on a first come, first served basis. Unfortunately, people arriving once capacity has been reached will be turned away. A live video stream will be available for those not able to attend in person. Lectures will be added to the video archive for on-demand viewing upon approval from the presenter. NOTICE: For security purposes, everyone over 16 is asked to carry a photo I.D. Security guards may inspect vehicles, book bags and purses.

328

NETL: News Release - DOE Awards Local Researcher with 3 Million Hours on  

NLE Websites -- All DOE Office Websites (Extended Search)

8, 2008 8, 2008 DOE Awards Local Researcher with 3 Million Hours on Premier Supercomputer Morgantown, W.Va.-The U.S. Department of Energy's (DOE) Office of Science announced today that a scientist at DOE's National Energy Technology Laboratory (NETL) has been awarded 3 million hours of processor time to conduct advanced research on fossil fuel power plants on one of the world's most powerful supercomputers. http://energy.gov/news/5849.htm The Office of Science awarded the supercomputer hours to Madhava Syamlal, a scientist at NETL, as one of 55 nationwide recipients who received a total of 265 million processor hours. Syamlal, along with his team of co-investigators, will use the powerful Cray XT4 supercomputer at ORNL to vastly increase the speed of coal gasifier simulations to aid in the design and optimization of the power plants. His team is composed of Thomas O'Brien (NETL), Chris Guenther (NETL), Sreekanth Pannala (ORNL), Ramanan Sankaran (ORNL), and Aytekin Gel (Aeolus Research Inc.).

329

Day-Ahead/Hour-Ahead Forecasting for Demand Trading: A Guidebook  

Science Conference Proceedings (OSTI)

Demand trading can be an effective hedge against wholesale power price spikes during times of constraint. However, it also can be a high-risk venture. Profitability depends on reliable demand forecasting. Short-term load forecasting (STLF) can minimize the risks of day-ahead purchasing by providing better predictions at the system level. Additionally, STLF can reduce hour-ahead spot market risks and directly support demand trading by providing more accurate assessments of incremental load reductions from...

2001-12-20T23:59:59.000Z

330

Day-Ahead/Hour-Ahead Forecasting for Demand Trading: A Guidebook  

Science Conference Proceedings (OSTI)

Download report 1006016 for FREE. Demand trading can be an effective hedge against wholesale power price spikes during times of constraint. However, it also can be a high-risk venture. Profitability depends on reliable demand forecasting. Short-term load forecasting (STLF) can minimize the risks of day-ahead purchasing by providing better predictions at the system level. Additionally, STLF can reduce hour-ahead spot market risks and directly support demand trading by providing more accurate assessments o...

2001-12-20T23:59:59.000Z

331

Argonne CNM: Colloquium Series  

NLE Websites -- All DOE Office Websites (Extended Search)

Colloquium Series Colloquium Series The Center for Nanoscale Materials holds a regular biweekly colloquium on alternate Wednesday afternoons at 4:00 p.m. in Bldg. 440, Room A105/106. The goal of the series is to provide a forum for topical multidisciplinary talks in areas of interest to the CNM and also to offer a mechanism for fostering interactions with potential facility users. Refreshments will be served at 3:45. January 15, 2013 "Friction, Brownian Motion, and Energy Dissipation Mechanisms in Adsorbed Molecules and Molecularly Thin Films: Heating, Electrostatic and Magnetic Effects," by Jacquelin Krim, North Carolina State University, hosted by Diana Berman Abstract: In the study of friction at the nanoscale, phononic, electrostatic, conduction electron, and magnetic effects all contribute to the dissipation mechanisms. Electrostatic and magnetic contributions are increasingly alluded to in the current literature, but they remain poorly characterized. I will first overview the nature of these various contribution, and then report on our observations of magnetic and electrostatic contributions to friction for various systems in the presence and absence of external fields. I will also report on the use of a quartz crystal microbalance with a graphene/Ni(111) electrode to probe frictional heating effects in Kr monolayers sliding on the microbalance electrode in response to its oscillatory motion.

332

Linear Regime Duration: Is 24 Hours a Long Time in Synoptic Weather Forecasting?  

Science Conference Proceedings (OSTI)

Day-to-day variations in the growth of uncertainty in the current state of the atmosphere have led to operational ensemble weather predictions in which an ensemble of different initial conditions, each perturbed from the best estimate of the ...

Isla Gilmour; Leonard A. Smith; Roberto Buizza

2001-11-01T23:59:59.000Z

333

Illustration of a New Test for Detecting a Shift in Mean in Precipitation Series  

Science Conference Proceedings (OSTI)

Maronna and Yohai (1978) have introduced a new test for detecting a shift in mean in an independent time series, based on a second correlated series. Unlike other procedures commonly applied to precipitation series, this test is statistically ...

Kenneth W. Potter

1981-09-01T23:59:59.000Z

334

Amp-hour counting control for PV hybrid power systems  

SciTech Connect

The performance of an amp-hour (Ah) counting battery charge control algorithm has been defined and tested using the Digital Solar Technologies MPR-9400 microprocessor based PV hybrid charge controller. This work included extensive field testing of the charge algorithm on flooded lead-antimony and valve regulated lead-acid (VRLA) batteries. The test results after one-year have demonstrated that PV charge utilization, battery charge control, and battery state of charge (SOC) has been significantly improved by providing maximum charge to the batteries while limiting battery overcharge to manufacturers specifications during variable solar resource and load periods.

Hund, T.D. [Sandia National Labs., Albuquerque, NM (United States); Thompson, B. [Biri Systems, Ithaca, NY (United States)

1997-06-01T23:59:59.000Z

335

Effects of electric utility residential conservation programs on hourly load profiles  

SciTech Connect

This paper discusses the potential of using hourly energy simulation models to determine load shape changes resulting from energy conservation activities. It is determined that shifts in the time and the day of the monthly peak demand may occur as the level of conservation increases. The shifting of the peak was from weather-sensitive periods to less-weather-sensitive periods. Seasonal load profile changes resulting from energy conservation were demonstrated. A statistically significant quadratic relationship was identified between the annual percent reduction and annual percent energy conserved for the different distribution systems examined. The relationships are examined between different levels of residential energy conservation from weatherization and heat pumps on the hourly load profiles of different power distribution systems within the TVA power service area.

Harper, J.P.; Sieber, R.E.

1983-01-01T23:59:59.000Z

336

A Survey of Utility Experience with Real Time Pricing  

E-Print Network (OSTI)

and access to hourly energy usage data .. 26access to their hourly energy usage data on a real-time orfor Access to hourly energy usage data on a real- price

Barbose, Galen; Goldman, Charles; Neenan, Bernie

2004-01-01T23:59:59.000Z

337

Healthy time, home production, and labor supply: The effect of health shocks on time use in China  

E-Print Network (OSTI)

Total work Market work Home production hours hours hours MenReuben. (1977). Leisure, home production, and worktheFamily time use: Leisure, home production, market work, and

Liu, Jenny Xin

2010-01-01T23:59:59.000Z

338

Folding Proteins at 500 ns/hour with Work Queue  

E-Print Network (OSTI)

AbstractMolecular modeling is a field that traditionally has large computational costs. Until recently, most simulation techniques relied on long trajectories, which inherently have poor scalability. A new class of methods is proposed that requires only a large number of short calculations, and for which minimal communication between computer nodes is required. We considered one of the more accurate variants called Accelerated Weighted Ensemble Dynamics (AWE) and for which distributed computing can be made efficient. We implemented AWE using the Work Queue framework for task management and applied it to an all atom protein model (Fip35 WW domain). We can run with excellent scalability by simultaneously utilizing heterogeneous resources from multiple computing platforms such as clouds (Amazon EC2, Microsoft Azure), dedicated clusters, grids, on multiple architectures (CPU/GPU, 32/64bit), and in a dynamic environment in which processes are regularly added or removed from the pool. This has allowed us to achieve an aggregate sampling rate of over 500 ns/hour. As a comparison, a single process typically achieves 0.1 ns/hour. I.

Badi Abdul-wahid; Li Yu; Dinesh Rajan

2012-01-01T23:59:59.000Z

339

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

340

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Sri Lanka from NREL Sri Lanka from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Brazil from NREL Brazil from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

342

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Central America from NREL Central America from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

343

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Ethiopia from NREL Ethiopia from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

344

Physics for Everyone Lecture Series  

NLE Websites -- All DOE Office Websites (Extended Search)

Physics for Everyone lecture series A non-technical lecture series about Fermilab science and culture Talks take place on Wednesdays each month from 12:30-1:30 p.m. in the...

345

Brookhaven Lecture Series | Home  

NLE Websites -- All DOE Office Websites (Extended Search)

Next Brookhaven Lecture Next Brookhaven Lecture JAN 22 Wednesday Brookhaven Lecture "491st Brookhaven Lecture: Juergen Thieme of Photon Sciences Directorate" Presented by Juergen Thieme, Brookhaven Lab's Photon Sciences Directorate 4 pm, Berkner Hall Auditorium Wednesday, January 22, 2014, 4:00 pm Hosted by: Allen Orville Refreshments will be served before and after the lecture. Brookhaven Lectures are free and open to the Public. Visitors to the Laboratory age 16 and older must bring photo ID. About the Brookhaven Lecture Series Gertrude Scharff-Goldhaber Gertrude Scharff-Goldhaber The Brookhaven Lectures, held by and for the Brookhaven staff, are meant to provide an intellectual meeting ground for all scientists of the Laboratory. In this role they serve a double purpose: they are to acquaint

346

3800 Green Series Cost Elements  

Energy.gov (U.S. Department of Energy (DOE))

Stoller - Legacy ManagementSustainable Acquisition (formerly EPP) Program 3800 Series Cost Elements01/30/2012 (Rev. 4)

347

Generalized series of Bessel functions  

Science Conference Proceedings (OSTI)

Known series of Bessel functions, currently available in handbooks, and many of Neumann type, are generalized to arbitrary order. The underlying result is a Poisson formula due to Titchmarsh. This formula gives rise to a Neumann series involving modified ... Keywords: Bessel functions, Neumann series

A. Al-Jarrah; K. M. Dempsey; M. L. Glasser

2002-06-01T23:59:59.000Z

348

Book Series ontos mathematical logic  

E-Print Network (OSTI)

Book Series ontos mathematical logic Information for Authors Edited by Wolfram Pohlers (Münster sheet. The books of this new series will be published in hardcover (except of student handbooks) and will be available for at least ten years. The books of this series will be distributed in Middle Europe by ontos

Schindler, Ralf

349

Top 8 Things You Didn't Know About Daylight Saving Time | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Top 8 Things You Didn't Know About Daylight Saving Time Top 8 Things You Didn't Know About Daylight Saving Time Top 8 Things You Didn't Know About Daylight Saving Time October 30, 2013 - 12:36pm Addthis This Sunday, people across the country will set their clocks back an hour, marking an end to Daylight Saving Time. | Photo courtesy of iStock Photo, WoodyUpstate. This Sunday, people across the country will set their clocks back an hour, marking an end to Daylight Saving Time. | Photo courtesy of iStock Photo, WoodyUpstate. Rebecca Matulka Rebecca Matulka Digital Communications Specialist, Office of Public Affairs Looking for Energy-Saving Tips? Check out our lighting page to learn about ways to save electricity. Learn how to incorporate daylighting into your home. For more ways to save, visit Energy Saver. This article is part of the Energy.gov series highlighting the "Top

350

Analyzing the Impacts of Frequency and Severity of Forest Fire on the Recovery of Disturbed Forest using Landsat Time Series and EO-1 Hyperion in the Southern Brazilian Amazon  

Science Conference Proceedings (OSTI)

Estimation of fire impacts and forest recovery using remote sensing is difficult because of the heterogeneity of fire history (frequency, severity, and time since last fire) across burned forest landscapes. The authors analyzed impacts of fire ...

Izaya Numata; Mark A. Cochrane; Lnio S. Galvo

2011-05-01T23:59:59.000Z

351

Evaluation of Cold-Season Precipitation Forecasts Generated by the Hourly Updating High-Resolution Rapid Refresh Model  

Science Conference Proceedings (OSTI)

The hourly updating High-Resolution Rapid Refresh (HRRR) model is evaluated with regard to its ability to predict the areal extent of cold-season precipitation and accurately depict the timing and location of regions of snow, rain, and mixed-phase ...

Kyoko Ikeda; Matthias Steiner; James Pinto; Curtis Alexander

2013-08-01T23:59:59.000Z

352

High Temperature Solid-Oxide Electrolyzer 2500 Hour Test Results At The Idaho National Laboratory  

DOE Green Energy (OSTI)

The Idaho National Laboratory (INL) has been developing the concept of using solid oxide fuel cells as electrolyzers for large-scale, high-temperature (efficient), hydrogen production. This program is sponsored by the U.S. Department of Energy under the Nuclear Hydrogen Initiative. Utilizing a fuel cell as an electrolyzer introduces some inherent differences in cell operating conditions. In particular, the performance of fuel cells operated as electrolyzers degrades with time faster. This issue of electrolyzer cell and stack performance degradation over time has been identified as a major barrier to technology development. Consequently, the INL has been working together with Ceramatec, Inc. (Salt Lake City, Utah) to improve the long-term performance of high temperature electrolyzers. As part of this research partnership, the INL conducted a 2500 hour test of a Ceramatec designed and produced stack operated in the electrolysis mode. This paper will provide a summary of experimental results to date for this ongoing test.

Carl Stoots; James O'Brien; Stephen Herring; Keith Condie; Lisa Moore-McAteer; Joseph J. Hartvigsen; Dennis Larsen

2009-11-01T23:59:59.000Z

353

2500-Hour High Temperature Solid-Oxide Electrolyzer Long Duration Test  

DOE Green Energy (OSTI)

The Idaho National Laboratory (INL) has been developing the concept of using solid oxide fuel cells as electrolyzers for large-scale, high-temperature (efficient), hydrogen production. This program is sponsored by the U.S. Department of Energy under the Nuclear Hydrogen Initiative. Utilizing a fuel cell as an electrolyzer introduces some inherent differences in cell operating conditions. In particular, the performance of fuel cells operated as electrolyzers degrades with time faster. This issue of electrolyzer cell and stack performance degradation over time has been identified as a major barrier to technology development. Consequently, the INL has been working together with Ceramatec, Inc. (Salt Lake City, Utah) to improve the long-term performance of high temperature electrolyzers. As part of this research partnership, the INL conducted a 2500 hour test of a Ceramatec designed and produced stack operated in the electrolysis mode. This report will provide a summary of experimental results for this long duration test.

C. M. Stoots; J. E. O'Brien; K. G. Condie; L. Moore-McAteer; J. J. Hartvigsen; D. Larsen

2009-11-01T23:59:59.000Z

354

Jefferson Lab Science Series - Holograms  

NLE Websites -- All DOE Office Websites (Extended Search)

Clocks and Timekeeping Previous Video (Clocks and Timekeeping) Science Series Video Archive Next Video (Which Way is Up?) Which Way is Up? Holograms Mr. Paul Christie - Liti...

355

After-hours Power Status of Office Equipment in the USA  

SciTech Connect

Office equipment is expected to be the fastest-growingsegment of commercial energy use over the next 20 years, yet many aspectsof office equipment energy use are poorly understood. User behavior, suchas turning off devices at night or enabling power management, influencesenergy use to a great extent. The computing environment also plays a roleboth in influencing user behavior and in the success of power management.Information about turn-off rates and power management rates for officeequipment was collected through a series of after-hours audits incommercial buildings. Sixteen businesses were recruited, includingoffices (small, medium and large offices in a variety of industries),schools, and medical buildings in California, Georgia, and Pennsylvania.The types and power states of office equipment found in these buildingswere recorded and analyzed. This article presents these data forcomputers, monitors, printers, copiers, fax machines, scanners andmulti-function devices. These data can be used to improve estimates ofboth energy consumption for these devices and savings from energyconservation efforts.

Webber, Carrie A.; Roberson, Judy A.; McWhinney, Marla C.; Brown,Richard E.; Pinckard, Margaret J.; Busch, John F.

2005-10-13T23:59:59.000Z

356

Estimating Hourly All-Sky Solar Irradiation Components from Meteorological Data  

Science Conference Proceedings (OSTI)

A new method to calculate hourly direct beam and diffuse irradiation on a horizontal surface using 3-h standard meteorological data is described. Comparisons of computed and observed irradiations are made with hourly data obtained in Carpentras ...

F. Kermel

1988-02-01T23:59:59.000Z

357

NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate...  

NLE Websites -- All DOE Office Websites (Extended Search)

NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models September 11, 2008...

358

Seasonal Variations in the Diurnal Characteristics of Heavy Hourly precipitation across the United States  

Science Conference Proceedings (OSTI)

Hourly precipitation data from 1967 to 1983 for the coterminous, United States were harmonically analyzed in order to document the diurnal variability of several categories of heavy hourly precipitation during winter, spring, summer, and autumn. ...

Julie A. Winkler; Brent R. Skeeter; Paul D. Yamamoto

1988-08-01T23:59:59.000Z

359

Marcellus Shale Educational Webinar Series  

E-Print Network (OSTI)

#12;Marcellus Shale Litigation and Legislation December 17, 2009 7 . Pennsylvania Oil and Gas Law1 Marcellus Shale Educational Webinar Series October 2009 - March 2010 Penn State Cooperative Extension #12;2 Marcellus Shale Webinar Series Planning Committee · Members ­ Mark Douglass, Jefferson

Boyer, Elizabeth W.

360

Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing  

Science Conference Proceedings (OSTI)

Real-time pricing (RTP) has been advocated as an economically efficient means to send price signals to customers to promote demand response (DR) (Borenstein 2002, Borenstein 2005, Ruff 2002). However, limited information exists that can be used to judge how effectively RTP actually induces DR, particularly in the context of restructured electricity markets. This report describes the second phase of a study of how large, non-residential customers' adapted to default-service day-ahead hourly pricing. The customers are located in upstate New York and served under Niagara Mohawk, A National Grid Company (NMPC)'s SC-3A rate class. The SC-3A tariff is a type of RTP that provides firm, day-ahead notice of hourly varying prices indexed to New York Independent System Operator (NYISO) day-ahead market prices. The study was funded by the California Energy Commission (CEC)'s PIER program through the Demand Response Research Center (DRRC). NMPC's is the first and longest-running default-service RTP tariff implemented in the context of retail competition. The mix of NMPC's large customers exposed to day-ahead hourly prices is roughly 30% industrial, 25% commercial and 45% institutional. They have faced periods of high prices during the study period (2000-2004), thereby providing an opportunity to assess their response to volatile hourly prices. The nature of the SC-3A default service attracted competitive retailers offering a wide array of pricing and hedging options, and customers could also participate in demand response programs implemented by NYISO. The first phase of this study examined SC-3A customers' satisfaction, hedging choices and price response through in-depth customer market research and a Constant Elasticity of Substitution (CES) demand model (Goldman et al. 2004). This second phase was undertaken to answer questions that remained unresolved and to quantify price response to a higher level of granularity. We accomplished these objectives with a second customer survey and interview effort, which resulted in a higher, 76% response rate, and the adoption of the more flexible Generalized Leontief (GL) demand model, which allows us to analyze customer response under a range of conditions (e.g. at different nominal prices) and to determine the distribution of individual customers' response.

Goldman, Chuck; Hopper, Nicole; Bharvirkar, Ranjit; Neenan,Bernie; Boisvert, Dick; Cappers, Peter; Pratt, Donna; Butkins, Kim

2005-08-25T23:59:59.000Z

Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Daily/Hourly Hydrosystem Operation : How the Columbia River System Responds to Short-Term Needs.  

SciTech Connect

The System Operation Review, being conducted by the Bonneville Power Administration, the US Army Corps of Engineers, and the US Bureau of Reclamation, is analyzing current and potential future operations of the Columbia River System. One goal of the System Operations Review is to develop a new System Operation Strategy. The strategy will be designed to balance the many regionally and nationally important uses of the Columbia River system. Short-term operations address the dynamics that affect the Northwest hydro system and its multiple uses. Demands for electrical power and natural streamflows change constantly and thus are not precisely predictable. Other uses of the hydro system have constantly changing needs, too, many of which can interfere with other uses. Project operators must address various river needs, physical limitations, weather, and streamflow conditions while maintaining the stability of the electric system and keeping your lights on. It takes staffing around the clock to manage the hour-to-hour changes that occur and the challenges that face project operators all the time.

Columbia River System Operation Review (U.S.)

1994-02-01T23:59:59.000Z

362

NV Energy Large-Scale Photovoltaic Integration Study: Intra-Hour Dispatch and AGC Simulation  

SciTech Connect

The uncertainty and variability with photovoltaic (PV) generation make it very challenging to balance power system generation and load, especially under high penetration cases. Higher reserve requirements and more cycling of conventional generators are generally anticipated for large-scale PV integration. However, whether the existing generation fleet is flexible enough to handle the variations and how well the system can maintain its control performance are difficult to predict. The goal of this project is to develop a software program that can perform intra-hour dispatch and automatic generation control (AGC) simulation, by which the balancing operations of a system can be simulated to answer the questions posed above. The simulator, named Electric System Intra-Hour Operation Simulator (ESIOS), uses the NV Energy southern system as a study case, and models the systems generator configurations, AGC functions, and operator actions to balance system generation and load. Actual dispatch of AGC generators and control performance under various PV penetration levels can be predicted by running ESIOS. With data about the load, generation, and generator characteristics, ESIOS can perform similar simulations and assess variable generation integration impacts for other systems as well. This report describes the design of the simulator and presents the study results showing the PV impacts on NV Energy real-time operations.

Lu, Shuai; Etingov, Pavel V.; Meng, Da; Guo, Xinxin; Jin, Chunlian; Samaan, Nader A.

2013-01-02T23:59:59.000Z

363

A liquidity-weighted GARCH model for empirical equity series  

Science Conference Proceedings (OSTI)

This paper develops a new GARCH-family model (named Liquidity-Weighted GARCH or LW-GARCH) for explaining the volatility behaviour of financial time series, with an application on empirical international equity series (consisting both of stock market ... Keywords: ARCH-LM test, Granger causality test, conditional volatility, empirical equity returns, liquidity-weighted GARCH

Cristiana Tudor

2011-07-01T23:59:59.000Z

364

Digestion time  

NLE Websites -- All DOE Office Websites (Extended Search)

Digestion time Digestion time Name: Don Mancosh Location: N/A Country: N/A Date: N/A Question: I have always given the rule of thumb in class that material we eat is with us for about 24 hours before exiting the body. The question arises about the time value of liquids. Getting a big coke prior to a 3 hour drive generally means that there will be a stop along the way. Is there a generalization made about liquids in the body similar to the one for solid food? Replies: A physician would give a better answer, but I hazard this: the only liquids which people consume (deliberately) in significant quantities are water, ethyl alcohol and various oils. Water and alcohol are absorbed on a time scale of seconds to minutes through the mouth, stomach and digestive tract. The oils are huge molecules, so I'd guess like any other greasy food they get absorbed in the upper digestive tract. Some of them, perhaps the longest and most nonpolar, are not absorbed at all --- cf. the old-time remedy of mineral oil for constipation --- so there should be some average time-before-what's-left-is-excreted such as you're looking for, and my (wild) guess is that it would not differ substantially from that for food. You can define an average lifetime in the body for alcohol, since the natural level is zero. Rough guidelines are widespread in the context of drunk driving laws. But this is not really possible for water. One's body is normally full up to the brim with water, and there's no way for the body to distinguish between water molecules recently absorbed and molecules that've been moping around since the Beatles split up. Thus the water entering the toilet bowl after the pit stop is not in general the same water as was in the big coke. If you were to consider for water just the average time between drinking and peeing, it would seem to depend strongly on how well hydrated the body was before the drink, and how much was drunk. During sustained heavy exertion in the sun and dry air one can easily drink a pint of water an hour without peeing at all. On the other hand, if one is willing to drink enough water fast enough, so as to establish a high excess of body water one can pee 8 ounces 15 minutes or less after drinking 8 ounces.

365

Real Time Pricing and the Real Live Firm  

E-Print Network (OSTI)

2002. Industrial response to electricity real-time prices:industrial customer operated their facility using hourly electricity prices

Moezzi, Mithra; Goldman, Charles; Sezgen, Osman; Bharvirkar, Ranjit; Hopper, Nicole

2004-01-01T23:59:59.000Z

366

Learning from Time Series in the Resource-Limited Situations  

E-Print Network (OSTI)

join example on a butter?y data set. The similarity measureand texture into consideration. Data set A is for drawingsof butter?ies and data set B is for real pictures. Every

Ye, Lexiang

2010-01-01T23:59:59.000Z

367

Learning from Time Series in the Resource-Limited Situations  

E-Print Network (OSTI)

turns the estimated utility of adding list P [a i ]. Thislist, ranked from 1 to n, we assign them the minimum utilitylist P [a i ] to the existing table, and returns the highest utility

Ye, Lexiang

2010-01-01T23:59:59.000Z

368

BIOINFORMATICS Inferring Gene Regulatory Networks from Time Series  

E-Print Network (OSTI)

Translational Genomics Research Institute, 400 North Fifth Street, Suite 1600, Phoenix, Arizona 85004, U results, the future research directions are also outlined. 2 SYSTEMS AND METHODS 2.1 Genetic Network and regulates myosin alkali light chain1 (mlc1), myosin heavy chain (mhc), myosin 61F (myo61F), paramyosin (prm

Babu, M. Madan

369

Inferring definite-clause grammars to express multivariate time series  

Science Conference Proceedings (OSTI)

In application domains such as medicine, where a large amount of data is gathered, a medical diagnosis and a better understanding of the underlying generating process is an aim. Recordings of temporal data often afford an interpretation of the underlying ...

Gabriela Guimares; Lus Moniz Pereira

2005-06-01T23:59:59.000Z

370

Time-Series Analysis of Reconstructed DAMA Data  

E-Print Network (OSTI)

An analysis of DAMA data (as reconstructed from DAMA publications) confirms the presence of an annual oscillation, but with a lower significance level than that claimed by DAMA. The phase of their signal is 0.39 +/- 0.02, corresponding to a peak value at about May 22, which is consistent with both the DAMA estimate and the expected phase of a dark-matter signal. However, a spectrogram analysis also shows evidence for oscillations in the frequency band 11 - 13 year-1, that are similar to oscillations found in spectrograms formed from measurements of the decay rates of 36Cl and 32Si acquired at the Brookhaven National Laboratory (BNL). One component of these oscillations (at 11.44 year-1) is prominent in DAMA/NaI data, at the 0.2% significance level (99.8% confidence level). Analyses of BNL and other nuclear decay (specifically beta decay and K-capture) measurements point to a solar influence, either by neutrinos or by some currently unknown form of radiation. The phase of the annual oscillation in DAMA data is compatible with an influence of dark matter, and is unlikely to be attributable to a purely solar influence. We also find that annual oscillations in both 133Ba decay measurements and the Troitsk tritium-decay measurements are compatible with a cosmic influence but not with a purely solar influence. These considerations raise the possibility that DAMA measurements may somehow be influenced by a combination of solar neutrinos, cosmic neutrinos, and dark matter

Peter A. Sturrock; Ephraim Fischbach; Jere H. Jenkins; Rafael Lang; Jonathan Nistor

2012-10-28T23:59:59.000Z

371

On Modeling and Forecasting Time Series of Smooth Curves  

E-Print Network (OSTI)

/fertility rate curves (Hyndman and Ullah, 2007; Erbas et al., 2007). Other examples include electricity system the rates are unobservable; hence one needs to forecast future rate profiles based on historical call of telephone customer service centers, where forecasts of daily call arrival rate profiles are needed

Shen, Haipeng

372

Multivariate Spatio-Temporal Clustering of Times-Series Data...  

NLE Websites -- All DOE Office Websites (Extended Search)

ARM observation network. Additional information, including color figures and 3-D animations, is available at http:climate.ornl.gov. Corresponding Author F. M. Hoffman,...

373

Jackknife Tests for Differences in Autocorrelation between Climate Time Series  

Science Conference Proceedings (OSTI)

Two tests for differences in the lag 1 autocorrelation coefficient based on jackknife estimates are proposed. These tests are developed for the pooled sample of all daily values in a certain calendar mouth (e.g., all January data). Jackknife ...

T. A. Buishand; J. J. Beersma

1993-12-01T23:59:59.000Z

374

Growth, Cycles and Convergence in US Regional Time Series  

E-Print Network (OSTI)

;i UL?t|@?|t #16;? #17; UL?|@#16;? #16;?uLh4@|#16;L? L? |#4;i UL44L? t*LTic qc @?_ L? |#4;i _#16;gihi?Uit #16;? |#4;i *i#15;i*t Lu |#4;i tih#16;itc @t UL?|@#16;?i_ #16;? |#4;i #15;iU|Lh #14;#21; A#4;iti _#16;gihi?Uit 4#16;}#4;| Mi T@h@4i|ih#16;ti_ #22... ;#16;|#4; _h#16;u|c qc @?_ #16;u #14; #16;t _i??i_ t#3;U#4; |#4;@| #14; #30; ! fc i@U#4; i*i4i?| Lu #14; #16;t @ _i#15;#16;@|#16;L? uhL4 |#4;i UL44L? |hi?_#21; N?LMtih#15;i_ UL4TL?i?|t 4L_i*t A#4;i 4L_i* #16;? Ee#28; 4@) Mi i |i?_i_ tL @t |L #16;?U*#3;_i U...

Carvalho, Vasco; Harvey, Andrew C

2004-06-16T23:59:59.000Z

375

Transient signal detection using GPS position time series  

E-Print Network (OSTI)

Continuously operating Global Positioning System (GPS) networks record station position changes with millimeter-level accuracy and have revealed transient deformations on various spatial and temporal scales. However, the ...

Ji, Kang Hyeun

2011-01-01T23:59:59.000Z

376

Time series models with an EGB2 conditional distribution  

E-Print Network (OSTI)

; ut = p 2 j#15;tj #0; 1 and, when #24; = & !1; ut = #15;2t #0; 1: Figure 7 compares the way observations are weighted by the score of a EGB2 distribution with #24; = & = 0:5; a Student?s t7 distribution and a GED(1:148). These are the same... (39) by #15;t gives a bounded function as j#15;tj ! 1: The following result, which is related to Lemma 1 of Harvey (2013, p23), is useful for deriving the asymptotic properties of the maximum likelihood estimator. Proposition 3 If #15;t #24; EGB2(0; 1...

Harvey, Andrew; Caivano, Michele

2013-07-17T23:59:59.000Z

377

CDIAC::Carbon Emission::Time Series Data  

NLE Websites -- All DOE Office Websites (Extended Search)

back to 1751. Etemad et al. (1991) published a summary compilation that tabulates coal, brown coal, peat, and crude oil production by nation and year. Footnotes in the Etemad...

378

Environmental time series analysis and forecasting with the Captain toolbox  

Science Conference Proceedings (OSTI)

The Data-Based Mechanistic (DBM) modelling philosophy emphasises the importance of parametrically efficient, low order, 'dominant mode' models, as well as the development of stochastic methods and the associated statistical analysis required for their ... Keywords: DAR, DARX, DBM, DHR, DLR, DTF, Data-based mechanistic, FIS, Fixed interval smoothing, Forecasting, GRW, Hyper-parameter optimisation, IRW, IV, Identification, Kalman filtering, MISO, ML, Maximum likelihood, NVR, RIV, RW, SDP, SRIV, SRW, Signal processing, TF, TVP, UC, Unobserved components model, YIC

C. James Taylor; Diego J. Pedregal; Peter C. Young; Wlodek Tych

2007-06-01T23:59:59.000Z

379

Stochastic Simulation Methods for Precipitation and Streamflow Time Series  

E-Print Network (OSTI)

One major acknowledged challenge in daily precipitation is the inability to model extreme events in the spectrum of events. These extreme events are rare but may cause large losses. How to realistically simulate extreme behavior of daily precipitation is necessary and important. To that end, a hybrid probability distribution is developed. The logic of this distribution is to simulate the low to moderate values by an exponential distribution and extremes by a generalized Pareto distribution. Compared with alternatives, the developed hybrid distribution is capable of simulating the entire range of precipitation amount and is much easier to use. The hybrid distribution is then used to construct a bivariate discrete-continuous mixed distribution, which is used for building a daily precipitation generator. The developed generator can successfully reproduce extreme events. Compared with other widely used generators, the most important advantage of the developed generator is that it is apt at extrapolating values significantly beyond the upper range of observed data. The major challenge in monthly streamflow simulation is referred to the underrepresentation of inter-annual variability. The inter-annual variability is often related with sustained droughts or periods of high flows. Preserving inter-annual variability is thus of particular importance for the long-term management of water resources systems. To that end, variables conveying such inter-annual signals should be used as covariates. This requires models that must be flexible at incorporating as many covariates as necessary. Keeping this point in mind, a joint conditional density estimation network is developed. Therein, the joint distribution of streamflows of two adjacent months is assumed to follow a specific parametric family. Parameters of the distribution are estimated by an artificial neural network. Due to the seasonal concentration of precipitation or the joint effect of rainfall and snowmelt, monthly streamflow distribution sometimes may exhibit a bimodal shape. To reproduce bimodality, nonparametric models are often preferred. However, the simulated sequences from existing nonparametric models represent too close a resemblance to historical record. To address this issue, while retaining typical merits of nonparametric models, a multi-model regression-sampling algorithm with a few weak assumptions is developed. Collecting hydrometric data is the first step for building hydrologic models, and for planning, design, operation, and management of water resource systems. In this dissertation, an entropy-theory-based criterion, termed maximum information minimum redundancy, is proposed for hydrometric monitoring network evaluation and design. Compared with existing similar approaches, the criterion is apt at finding stations with high information content, and locating independent stations.

Li, Chao

2013-05-01T23:59:59.000Z

380

Forecasting Time Series Subject to Multiple Structural Breaks  

E-Print Network (OSTI)

Suhglfwlrqv duh iruphg e| lqwhjudwlqj ryhu wkh k|shu sdudphwhuv iurp wkh phwd glvwulexwlrqv wkdw fkdudfwhul}h wkh vwrfkdv0 wlf euhdn srlqw surfhvv1 Lq dq dssolfdwlrq wr XV Wuhdvxu| eloo udwhv/ zh #31;qg wkdw wkh phwkrg ohdgv wr ehwwhu rxw0ri0vdpsoh iruhfdvwv...

Pesaran, M Hashem; Pettenuzzo, Davide; Timmermann, Allan

Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

A Radial Basis Function Approach to Financial Time Series Analysis  

E-Print Network (OSTI)

Nonlinear multivariate statistical techniques on fast computers offer the potential to capture more of the dynamics of the high dimensional, noisy systems underlying financial markets than traditional models, while ...

Hutchinson, James M.

1993-12-01T23:59:59.000Z

382

Estimating Higher-Order Moments of Nonlinear Time Series  

Science Conference Proceedings (OSTI)

This study extends the authors earlier work that addresses the importance of bootstrap methods in computing statistical characteristics of meteorological and climatological datasets. Subsampling confidence intervals for the skewness and kurtosis ...

Alexander Gluhovsky; Ernest Agee

2009-09-01T23:59:59.000Z

383

Univariate Modeling and Forecasting of Monthly Energy Demand Time Series  

E-Print Network (OSTI)

in this report. #12;i ABSTRACT These electricity demand forms and instructions ask load-serving entities and Instructions for Electricity Demand Forecasts. California Energy Commission, Electricity Supply Analysis.................................................................................................................................7 Form 1 Historic and Forecast Electricity Demand

Abdel-Aal, Radwan E.

384

Computer system performance problem detection using time series models  

Science Conference Proceedings (OSTI)

Computer systems require monitoring to detect performance anomalies such as runaway processes, but problem detection and diagnosis is a complex task requiring skilled attention. Although human attention was never ideal for this task, as networks of computers ...

Peter Hoogenboom; Jay Lepreau

1993-06-01T23:59:59.000Z

385

CDIAC::Carbon Emission::Time Series USA Data  

NLE Websites -- All DOE Office Websites (Extended Search)

Estimates of monthly carbon dioxide emissions and associated 13C values from fossil-fuel consumption in the U.S.A. In Trends: A Compendium of Data on Global Change Carbon...

386

Jefferson Lab Science Series - Science Series Video Archive  

NLE Websites -- All DOE Office Websites (Extended Search)

Science Series Video Archive Science Series Video Archive Couldn't make it to the last Science Series lecture? Did you like a lecture so much that you just had to see it again? Not to worry! Past lectures are now available on demand! The Higgs Boson and Our Life The Higgs Boson and Our Life On July 4th, 2012, the ATLAS and CMS experiments operating at the CERN Large Hadron Collider (LHC) announced the discovery of a new particle compatible with the Higgs boson (hunted for almost 50 years), which is a crucial piece for our understanding of fundamental physics and thus the structure and evolution of the universe. This lecture describes the unprecedented instruments and challenges that have allowed such an accomplishment, the meaning and relevance of this discovery to physics... April 30, 2013

387

Fermilab Arts & Lecture Series Tickets  

NLE Websites -- All DOE Office Websites (Extended Search)

Ticket Information Ticket Information On-Line Tickets On-Line ticketing is now available! Click here to be connected to our secure on-line ticketing site. Please note that on-line ticketing for any particular event closes down the Friday prior to the event at noon. For example, a Friday night lecture has on-line sales ending at noon; on-line sales for a given Saturday night Art Series event will end at noon the Friday prior; and sales for a Sunday afternoon Gallery Chamber Series event will end at noon the Friday prior. Please present an ID to pick up student tickets. Telephone For information and tickets you may also call 630-840-ARTS (630-840-2787), or Fax to (630) 840-5501. An answering machine will take your confidential message during times that the box office manager is not available.

388

SERIES  

E-Print Network (OSTI)

Abstract: There is a growing interest in relating agent-based models to realworld locations by combining them with geographical information systems (GIS) which can be seen with the proliferation of geosimulation models in recent years. This coincides with the proliferation of digital data both in the two and three dimensions allowing one to construct detailed and extensive feature rich and highly visual 3D city models. This paper explores some of these developments in relation to our own initial work on building 3D geospatial agent-based models of urban systems and the technologies that allow for such models to be created. Furthermore, we highlight some techniques for the creation of 3D agent-based models and stress that such models are not a substitute to good models. 1 1

A. T. Crooks; A. Hudson-smith; A Patel

2010-01-01T23:59:59.000Z

389

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

facilities that receive electricity service from Niagaraperiods is your facilitys electricity use highest? ( CHECKthe next days hourly electricity prices? ( CHECK ONLY ONE )

2005-01-01T23:59:59.000Z

390

Analysis of Sub-Hourly Ramping Impacts of Wind Energy and Balancing Area Size: Preprint  

DOE Green Energy (OSTI)

In this paper, we analyze sub-hourly ramping requirements and the benefit of combining Balancing Authority operations with significant wind penetrations.

Milligan, M.; Kirby, B.

2008-06-01T23:59:59.000Z

391

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

nature of electric service and usage, defining the hoursElectric. 12 The resulting evaluation report estimated elasticities and found measurable reductions in energy usage

2005-01-01T23:59:59.000Z

392

Intra-hour Direct Normal Irradiance solar forecasting using genetic programming  

E-Print Network (OSTI)

UNIVERSITY OF CALIFORNIA, SAN DIEGO Intra-hour Direct NormalChair University of California, San Diego iii TABLE OFRPS, Technical report, California Independent System

Queener, Benjamin Daniel

2012-01-01T23:59:59.000Z

393

SERI advanced wind turbine blades  

DOE Green Energy (OSTI)

The primary goal of the Solar Energy Research Institute`s (SERI) advanced wind turbine blades is to convert the kinetic energy in the wind into mechanical energy in an inexpensive and efficient manner. To accomplish this goal, advanced wind turbine blades have been developed by SERI that utilize unique airfoil technology. Performance characteristics of the advanced blades were verified through atmospheric testing on fixed-pitch, stall-regulated horizontal-axis wind turbines (HAWTs). Of the various wind turbine configurations, the stall-regulated HAWT dominates the market because of its simplicity and low cost. Results of the atmospheric tests show that the SERI advanced blades produce 10% to 30% more energy than conventional blades. 6 refs.

Tangler, J.; Smith, B.; Jager, D.

1992-02-01T23:59:59.000Z

394

SERI advanced wind turbine blades  

DOE Green Energy (OSTI)

The primary goal of the Solar Energy Research Institute's (SERI) advanced wind turbine blades is to convert the kinetic energy in the wind into mechanical energy in an inexpensive and efficient manner. To accomplish this goal, advanced wind turbine blades have been developed by SERI that utilize unique airfoil technology. Performance characteristics of the advanced blades were verified through atmospheric testing on fixed-pitch, stall-regulated horizontal-axis wind turbines (HAWTs). Of the various wind turbine configurations, the stall-regulated HAWT dominates the market because of its simplicity and low cost. Results of the atmospheric tests show that the SERI advanced blades produce 10% to 30% more energy than conventional blades. 6 refs.

Tangler, J.; Smith, B.; Jager, D.

1992-02-01T23:59:59.000Z

395

Trend Estimation and Regression Analysis in Climatological Time Series: An Application of Structural Time Series Models and the Kalman Filter  

Science Conference Proceedings (OSTI)

The detection of trends in climatological data has become central to the discussion on climate change due to the enhanced greenhouse effect. To prove detection, a method is needed (i) to make inferences on significant rises or declines in trends, ...

H. Visser; J. Molenaar

1995-05-01T23:59:59.000Z

396

Use of Time-Aggregated Data in Economic Screening Analyses of Combined Heat and Power Systems  

Science Conference Proceedings (OSTI)

Combined heat and power (CHP) projects (also known as cogeneration projects) usually undergo a series of assessments and viability checks before any commitment is made. A screening analysis, with electrical and thermal loads characterized on an annual basis, may be performed initially to quickly determine the economic viability of the proposed project. Screening analyses using time-aggregated data do not reflect several critical cost influences, however. Seasonal and diurnal variations in electrical and thermal loads, as well as time-of-use utility pricing structures, can have a dramatic impact on the economics. A more accurate economic assessment requires additional detailed data on electrical and thermal demand (e.g., hourly load data), which may not be readily available for the specific facility under study. Recent developments in CHP evaluation tools, however, can generate the needed hourly data through the use of historical data libraries and building simulation. This article utilizes model-generated hourly load data for four potential CHP applications and compares the calculated cost savings of a CHP system when evaluated on a time-aggregated (i.e., annual) basis to the savings when evaluated on an hour-by-hour basis. It is observed that the simple, aggregated analysis forecasts much greater savings (i.e., greater economic viability) than the more detailed hourly analysis. The findings confirm that the simpler tool produces results with a much more optimistic outlook, which, if taken by itself, might lead to erroneous project decisions. The more rigorous approach, being more reflective of actual requirements and conditions, presents a more accurate economic comparison of the alternatives, which, in turn, leads to better decision risk management.

Hudson II, Carl Randy [ORNL

2004-09-01T23:59:59.000Z

397

Alternative Fuels Data Center: P-Series  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

P-Series to someone by P-Series to someone by E-mail Share Alternative Fuels Data Center: P-Series on Facebook Tweet about Alternative Fuels Data Center: P-Series on Twitter Bookmark Alternative Fuels Data Center: P-Series on Google Bookmark Alternative Fuels Data Center: P-Series on Delicious Rank Alternative Fuels Data Center: P-Series on Digg Find More places to share Alternative Fuels Data Center: P-Series on AddThis.com... More in this section... Biobutanol Drop-In Biofuels Methanol P-Series Renewable Natural Gas xTL Fuels P-Series P-Series fuels are blends of natural gas liquids (pentanes plus), ethanol, and methyltetrahydrofuran (MeTHF), a biomass co-solvent. P-Series fuels are clear, colorless, 89-93 octane, liquid blends used either alone or mixed with gasoline in any proportion in flexible fuel vehicles. These fuels are

398

Quantification of Variability and Uncertainty in Hourly NOx Emissions from Coal-Fired Power Plants  

E-Print Network (OSTI)

1 Quantification of Variability and Uncertainty in Hourly NOx Emissions from Coal-Fired Power to quantify variability and uncertainty for NOx emissions from coal-fired power plants. Data for hourly NOx Uncertainty, Variability, Emission Factors, Coal-Fired Power Plants, NOx emissions, Regression Models

Frey, H. Christopher

399

Optimal Multi-scale Capacity Planning under Hourly Varying Electricity Prices  

E-Print Network (OSTI)

1 Optimal Multi-scale Capacity Planning under Hourly Varying Electricity Prices Sumit Mitra Ignacio;2 Motivation of this work · Deregulation of the electricity markets caused electricity prices to be highly? (retrofit) · Challenge: Multi-scale nature of the problem! Hourly varying electricity prices vs. 10-15 years

Grossmann, Ignacio E.

400

Cloudy Sky Version of Bird's Broadband Hourly Clear Sky Model (Presentation)  

DOE Green Energy (OSTI)

Presentation on Bird's Broadband Hourly Clear Sky Model given by NREL's Daryl Myers at SOLAR 2006. The objective of this report is to produce ''all sky'' modeled hourly solar radiation. This is based on observed cloud cover data using a SIMPLE model.

Myers, D.

2006-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor Docket No. EO-05-01: Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor, March 2002 to November 2004, showing the model overprediction Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor More Documents & Publications Comments on Department of Energy's Emergency Order To Resume Limited Operation at Mirant's Potomac River Generating Station and Proposed Mirant Compliance Plan Answer of Potomac Electric Power Company and PJM lnterconnection, L.L.C. to the October 6, 2005 motion filed by the Virginia Department of Environmental Quality Special Environmental Analysis For Actions Taken under U.S. Department of Energy Emergency Orders Regarding Operation of the Potomac River Generating

402

Derivation of 24-Hour Average SO2, Background for the Update 1 Report |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Derivation of 24-Hour Average SO2, Background for the Update 1 Derivation of 24-Hour Average SO2, Background for the Update 1 Report Derivation of 24-Hour Average SO2, Background for the Update 1 Report Docket No. EO-05-01. As supporting documentation for "Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant: Modeling Unit 1 Emissions in a Cycling Mode" this memo documents the fact that the observed 24-hour SO2 background concentrations during periods when meteorological conditions produce the highest impacts from Unit 1. Derivation of 24-Hour Average SO2, Background for the Update 1 Report More Documents & Publications Review of the ENSR Report Titled "Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant"

403

SERI Solar Radiation Resource Assessment Project  

DOE Green Energy (OSTI)

The purpose of the Solar Radiation Resource Project is to help meet the needs of the public, government, industry, and utilities for solar radiation data, models, and assessments as required to develop, design, deploy, and operate solar energy conversion systems. The project scientists produce information on the spatial (geographic), temporal (hourly, daily, and seasonal), and spectral (wavelength distribution) variability of solar radiation at different locations in the United States. Resources committed to the project in FY 1990 supported about four staff members, including part-time administrative support. With these resources, the staff must concentrate on solar radiation resource assessment in the United States; funds do not allow for significant efforts to respond to a common need for improved worldwide data. 34 refs., 21 figs., 6 tabs.

Riordan, C.; Maxwell, E.; Stoffel, T.; Rymes, M.; Wilcox, S.

1991-07-01T23:59:59.000Z

404

Argonne CNM: 2013 Colloquium Series  

NLE Websites -- All DOE Office Websites (Extended Search)

3 Colloquium Series 3 Colloquium Series 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | Date Title December 18, 2013 "Monodisperse Carbon Nanomaterial Heterostructures," by Mark Hersam, Northwestern University, hosted by Tijana Rajh Abstract: Improvements in carbon nanomaterial monodispersity have yielded corresponding enhancements in the performance of electronic, optoelectronic, sensing, and energy technologies. However, in all of these cases, carbon nanomaterials are just one of many materials employed, suggesting that further device improvements can be achieved by focusing on the integration of disparate nanomaterials into heterostructures with well-defined interfaces. For example, organic self-assembled monolayers on graphene act as effective seeding layers for atomic layer deposited (ALD) dielectrics, resulting in metal-oxide-graphene capacitors with wafer-scale reliability and uniformity comparable to ALD dielectrics on silicon.

405

Argonne CNM: 2011 Colloquium Series  

NLE Websites -- All DOE Office Websites (Extended Search)

1 Colloquium Series 1 Colloquium Series 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | Date Title December 21, 2011 "Film Thickness and Elastic Strain Measurements on Silicon-on-Insulator Thin Films," I. Cevdet Noyan, Columbia University, hosted by Jorg Maser Abstract: Silicon-on-insulator (SOI) composites consist of two semiconductor-grade silicon layers bonded to each other via a SiO2 interface. One of these silicon layers is quite thin; it is possible to get thicknesses between 5 and 150 nm. Since this value is much thinner than the extinction distance of X-rays in silicon for commonly used energies, this layer diffracts in the kinematical mode. The second layer is much thicker, around 700 micrometers, and diffracts in the dynamical mode. Both layers can be considered almost perfect, with negligible mosaic structures and no dislocations.

406

Argonne CNM: 2010 Colloquium Series  

NLE Websites -- All DOE Office Websites (Extended Search)

0 Colloquium Series 0 Colloquium Series 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | Date Title November 10, 2010 "Anisotropic Semiconductor Nanocrystal Synthesis and Chemical and Biological Functionalization," Preston T. Snee, University of Illinois - Chicago, hosted by Richard Schaller Abstract: Semiconductor nanocrystals (NCs, or quantum dots) are very bright chromophores that possess significant potential in alternative energy generation and for biological sensing and imaging applications. Our group has made significant advances in the synthesis of rods and multi-pods of near-infrared emitting PbSe NCs through a previously unobserved mechanism. Characterization of anisotropic PbSe NCs show that they have much more robust chemical properties compared to cubic or "dot"-shaped NCs.

407

Space and Time Scales in Ambient Ozone Data  

Science Conference Proceedings (OSTI)

This paper describes the characteristic space and time scales in time series of ambient ozone data. The authors discuss the need and a methodology for cleanly separating the various scales of motion embedded in ozone time series data, namely, ...

S. T. Rao; I. G. Zurbenko; R. Neagu; P. S. Porter; J. Y. Ku; R. F. Henry

1997-10-01T23:59:59.000Z

408

Observed Temperature Effects on Hourly Residential Electric LoadReduction in Response to an Experimental Critical Peak PricingTariff  

SciTech Connect

The goal of this investigation was to characterize themanual and automated response of residential customers to high-price"critical" events dispatched under critical peak pricing tariffs testedin the 2003-2004 California Statewide Pricing Pilot. The 15-monthexperimental tariff gave customers a discounted two-price time-of-userate on 430 days in exchange for 27 critical days, during which the peakperiod price (2 p.m. to 7 p.m.) was increased to about three times thenormal time-of-use peak price. We calculated response by five-degreetemperature bins as the difference between peak usage on normal andcritical weekdays. Results indicatedthat manual response to criticalperiods reached -0.23 kW per home (-13 percent) in hot weather(95-104.9oF), -0.03 kW per home (-4 percent) in mild weather (60-94.9oF),and -0.07 kW per home (-9 percent) during cold weather (50-59.9oF).Separately, we analyzed response enhanced by programmable communicatingthermostats in high-use homes with air-conditioning. Between 90oF and94.9oF, the response of this group reached -0.56 kW per home (-25percent) for five-hour critical periods and -0.89 kW/home (-41 percent)for two-hour critical periods.

Herter, Karen B.; McAuliffe, Patrick K.; Rosenfeld, Arthur H.

2005-11-14T23:59:59.000Z

409

Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Hours  

NLE Websites -- All DOE Office Websites (Extended Search)

Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Hours in VolunteerMatch Community Connections: Our link to Northern New Mexico Communities Latest Issue:Dec. 2013 - Jan. 2014 All Issues » submit Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Hours in VolunteerMatch Lab employees and retirees should log their VolunteerMatch hours to benefit local nonprofits. March 1, 2013 Volunteers help fill sandbags during flood season Volunteers help in many different roles including in healthcare. Contacts Editor Linda Anderman Email Community Programs Office Kurt Steinhaus Email So far, employees and retirees have volunteered more than 1.2 million volunteer hours. If you are a nonprofit organization that has Lab employees or retirees as

410

Spatial and Temporal Characteristics of Heavy Hourly Rainfall in the United States  

Science Conference Proceedings (OSTI)

The climatology of heavy rain events from hourly precipitation observations by Brooks and Stensrud is revisited in this study using two high-resolution precipitation datasets that incorporate both gauge observations and radar estimates. Analyses ...

Nathan M. Hitchens; Harold E. Brooks; Russ S. Schumacher

2013-12-01T23:59:59.000Z

411

Commercial and Residential Hourly Load Data Now Available on OpenEI! |  

Open Energy Info (EERE)

Commercial and Residential Hourly Load Data Now Available on OpenEI! Commercial and Residential Hourly Load Data Now Available on OpenEI! Home > Groups > Utility Rate Sfomail's picture Submitted by Sfomail(48) Member 17 May, 2013 - 12:03 building load building load data commercial load data dataset datasets electric load data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL I am pleased to announce that simulated hourly residential and commercial building load datasets are now available on OpenEI. These datasets are available for all TMY3 locations in the United States. They contain hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). In addition to various

412

Oak Ridge: Approaching 4 Million Safe Work Hours | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Ridge: Approaching 4 Million Safe Work Hours Ridge: Approaching 4 Million Safe Work Hours Oak Ridge: Approaching 4 Million Safe Work Hours March 11, 2013 - 12:03pm Addthis Safety inspections are a key element in a nuclear cleanup environment with large pieces of cleanup equipment. Inspections are essential to continuing safety success and reaching new milestones.| Photo courtesy of Oak Ridge Safety inspections are a key element in a nuclear cleanup environment with large pieces of cleanup equipment. Inspections are essential to continuing safety success and reaching new milestones.| Photo courtesy of Oak Ridge David Sheeley Editor/Writer for Environmental Management's Office of External Affairs Workers at URS | CH2M Oak Ridge (UCOR), the prime contractor for EM's Oak Ridge cleanup, are approaching a milestone of 4 million safe work hours

413

A simple method to downscale daily wind statistics to hourly wind data  

E-Print Network (OSTI)

Wind is the principal driver in the wind erosion models. The hourly wind speed data were generally required for precisely wind erosion modeling. In this study, a simple method to generate hourly wind speed data from daily wind statistics (daily average and maximum wind speeds together or daily average wind speed only) was established. A typical windy location with 3285 days (9 years) measured hourly wind speed data were used to validate the downscaling method. The results showed that the overall agreement between observed and simulated cumulative wind speed probability distributions appears excellent, especially for the wind speeds greater than 5 m s-1 range (erosive wind speed). The results further revealed that the values of daily average erosive wind power density (AWPD) calculated from generated wind speeds fit the counterparts computed from measured wind speeds well with high models' efficiency (Nash-Sutcliffe coefficient). So that the hourly wind speed data can be predicted from daily average and maximu...

Guo, Zhongling

2013-01-01T23:59:59.000Z

414

The Relationships between Network Lightning Surface and Hourly Observations of Thunderstorms  

Science Conference Proceedings (OSTI)

Relationships were established between lightning location data and surface hourly observations of thunderstorms for 132 stations in the northeastern United States. The relationships are based on statistics derived from 2 2 contingency tables ...

Ronald M. Reap; Richard E. Orville

1990-01-01T23:59:59.000Z

415

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.41  

Energy.gov (U.S. Department of Energy (DOE))

Provides required documentation that Hourly Analysis Program (HAP) version 4.41 meets Internal Revenue Code 179D, Notice 2006-52, dated April 10, 2009, for calculating commercial building energy and power cost savings.

416

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.31  

Energy.gov (U.S. Department of Energy (DOE))

Provides required documentation that Hourly Analysis Program (HAP) version 4.31 meets Internal Revenue Code 179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

417

Cluster Analysis of Hourly Wind Measurements to Reveal Synoptic Regimes Affecting Air Quality  

Science Conference Proceedings (OSTI)

A clustering algorithm is developed to study hourly, ground-level wind measurements obtained from a network of monitoring stations positioned throughout the San Francisco Bay Area of California. A statistical model based on principal components ...

Scott Beaver; Ahmet Palazoglu

2006-12-01T23:59:59.000Z

418

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.40  

Energy.gov (U.S. Department of Energy (DOE))

Provides required documentation that Hourly Analysis Program (HAP) version 4.40 meets Internal Revenue Code 179D, Notice 2006-52, dated April 10, 2009, for calculating commercial building energy and power cost savings.

419

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.34  

Energy.gov (U.S. Department of Energy (DOE))

Provides required documentation that Hourly Analysis Program (HAP) version 4.34 meets Internal Revenue Code 179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

420

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.50  

Energy.gov (U.S. Department of Energy (DOE))

Provides required documentation that Hourly Analysis Program (HAP) version 4.50 meets Internal Revenue Code 179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Improved Quality Assurance for Historical Hourly Temperature and Humidity: Development and Application to Environmental Analysis  

Science Conference Proceedings (OSTI)

Historical hourly surface synoptic (airways) meteorological reports from around the United States have been digitized as part of the NOAA Climate Database Modernization Program. An important component is improvement of quality assurance ...

Daniel Y. Graybeal; Arthur T. DeGaetano; Keith L. Eggleston

2004-11-01T23:59:59.000Z

422

How much carbon dioxide (CO 2 ) is produced per kilowatt-hour ...  

U.S. Energy Information Administration (EIA)

How much carbon dioxide (CO 2) is produced per kilowatt-hour when generating electricity with fossil fuels? You can calculate the amount of CO2 produced per kWh for ...

423

NREL Develops Sub-Hour Solar Power Data Set (Fact Sheet), NREL...  

NLE Websites -- All DOE Office Websites (Extended Search)

Sub-Hour Solar Power Data Set NREL data will help utilities incorporate solar energy into their electric power systems. Large-scale deployment of solar energy requires a favorable...

424

A novel 2-D model approach for the prediction of hourly solar radiation  

Science Conference Proceedings (OSTI)

In this work, a two-dimensional (2-D) representation of the hourly solar radiation data is proposed. The model enables accurate forecasting using image prediction methods. One year solar radiation data that is acquired and collected between August 1, ...

F. Onur Hocaoglu; Nezih Gerek; Mehmet Kurban

2007-06-01T23:59:59.000Z

425

Analysis of Sub-Hourly Ramping Impacts of Wind Energy and Balancing Area Size (Poster)  

DOE Green Energy (OSTI)

WindPower 2008 conference sponsored by AWEA held in Houston, TX on June 1-4 2008. This poster illustrates the data collected for an analysis of sub-hourly ramping impacts of wind energy and balancing area size.

Milligan, M.; Kirby, B.

2008-06-01T23:59:59.000Z

426

Hourly Rainfall Changes in Response to Surface Air Temperature over Eastern Contiguous China  

Science Conference Proceedings (OSTI)

In this study, late-summer rainfall over eastern contiguous China is classified according to hourly intensity and the changes of moderate, intense, and extreme precipitation in response to variation of surface air temperature are analyzed. The e-...

Rucong Yu; Jian Li

2012-10-01T23:59:59.000Z

427

Commercial and Residential Hourly Load Profiles for all TMY3 Locations in  

Open Energy Info (EERE)

and Residential Hourly Load Profiles for all TMY3 Locations in and Residential Hourly Load Profiles for all TMY3 Locations in the United States Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Hourly load profiles are available for over all TMY3 locations in the United States here. Browse files in this dataset, accessible as individual files and as commercial and residential downloadable ZIP files. This dataset is approximately 4.8GiB compressed or 19GiB uncompressed. July 2nd, 2013 update: Residential High and Low load files have been updated from 366 days in a year for leap years to the more general 365 days in a normal year.

428

Determination of Semivariogram Models to Krige Hourly and Daily Solar Irradiance in Western Nebraska  

Science Conference Proceedings (OSTI)

In this paper, linear and spherical semivariogram models were determined for use in kriging hourly and daily solar irradiation for every season of the year. The data used to generate the models were from 18 weather stations in western Nebraska. ...

G. G. Merino; D. Jones; D. E. Stooksbury; K. G. Hubbard

2001-06-01T23:59:59.000Z

429

Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production - DOE Hydrogen and Fuel Cells Program FY 2012 Annual Progress Report  

NLE Websites -- All DOE Office Websites (Extended Search)

3 3 FY 2012 Annual Progress Report DOE Hydrogen and Fuel Cells Program Genevieve Saur (Primary Contact), Chris Ainscough. National Renewable Energy Laboratory (NREL) 15013 Denver West Parkway Golden, CO 80401-3305 Phone: (303) 275-3783 Email: genevieve.saur@nrel.gov DOE Manager HQ: Erika Sutherland Phone: (202) 586-3152 Email: Erika.Sutherland@ee.doe.gov Project Start Date: October 1, 2010 Project End Date: Project continuation and direction determined annually by DOE Fiscal Year (FY) 2012 Objectives Corroborate recent wind electrolysis cost studies using a * more detailed hour-by-hour analysis. Examine consequences of different system configuration * and operation for four scenarios, at 42 sites in five

430

SERI Solar Energy Storage Program  

DOE Green Energy (OSTI)

The SERI Solar Energy Storage Program provides research on advanced technologies, system analyses, and assessments of thermal energy storage for solar applications in support of the Thermal and Chemical Energy Storage Program of the DOE Division of Energy Storage Systems. Currently, research is in progress on direct contact latent heat storage and thermochemical energy storage and transport. Systems analyses are being performed of thermal energy storage for solar thermal applications, and surveys and assessments are being prepared of thermal energy storage in solar applications.

Copeland, R. J.; Wright, J. D.; Wyman, C. E.

1980-02-01T23:59:59.000Z

431

Modeling data with multiple time dimensions  

Science Conference Proceedings (OSTI)

A large class of problems in time series analysis can be represented by a set of overlapping time series with different starting times. These time series may be treated as different probes of the same underlying process. Such probes may follow a characteristic ... Keywords: Dendrochronology, Douglas fir, Dual-time dynamics, El Malpais, Generalized additive models, Global climate change, Non-linear dynamics, Non-linear modeling, Pinon pine, Ponderosa pine, Portfolio forecasting, Retail lending, SETI@home, Scenario-based forecasting, Search for extraterrestrial intelligence, Time series, Tree rings

Joseph L. Breeden

2007-05-01T23:59:59.000Z

432

Homogenization of Temperature Series via Pairwise Comparisons  

Science Conference Proceedings (OSTI)

An automated homogenization algorithm based on the pairwise comparison of monthly temperature series is described. The algorithm works by forming pairwise difference series between serial monthly temperature values from a network of observing ...

Matthew J. Menne; Claude N. Williams Jr.

2009-04-01T23:59:59.000Z

433

Jefferson Lab Science Series - The Ultimate Speed  

NLE Websites -- All DOE Office Websites (Extended Search)

Higgs Boson and Our Life Higgs Boson and Our Life Previous Video (The Higgs Boson and Our Life) Science Series Video Archive Next Video (What Is CEBAF All About?) What Is CEBAF All About? The Ultimate Speed Dr. William Bertozzi - Massachusetts Institute of Technology Sometime in 1962 In his youth, Dr. William Bertozzi, an MIT professor who has long been a leader in experimental nuclear physics using beams of electrons, carried out an experiment in which he explored the relationship between the velocity of electrons and their kinetic energy by measurements over a range of accelerating voltages between 0.5 MeV and 15 MeV. The kinetic energy is measured using calorimetry and the velocity is measured by time-of-flight. This educational film, made in 1962, documents the experiment and shows

434

Fermilab Arts & Lecture Series  

NLE Websites -- All DOE Office Websites (Extended Search)

Arts & Lecture Series 2013-14 Free on-line ticketing now available! Check our web page at fnal.gov/culture A r t S S e r i e S The Congregation Second City: Happily Ever Laughter De Temps Antan Stars of Dance Chicago Jingle Babes: Decking the Halls with Songs and Folly-The Four Bitchin' Babes Dirty Dozen Brass Band Alan Kelly Gang The Fantasticks: Steampunk Version Huun Huur Tu: Throat Singers of Tuva Rhythm Safari: An Interactive World Drumming Event G A L L e r y C h A m b e r S e r i e S Chicago Brass Quintet 50th Anniversary Season Cavatina Duo Rembrandt Chamber Players L e C t u r e S e r i e S Dr. Jeff Lichtman Connectomics: Mapping the Brain Dr. Michael Meyer The Potential for Life on Mars: Past, Present and Future? Dr. James Kakalios The Physics of Superheroes Physics Slam 2013 Dr. Pete Beckman

435

MSEL Sustainability Seminar Series: Sustainable ...  

Science Conference Proceedings (OSTI)

... been limited to changes that are cost-neutral and ... to the big opportunities for energy efficiency. ... Time: 11:00am Location: Employees Lounge of the ...

2013-03-15T23:59:59.000Z

436

Accelerating Innovation Webinar Series - Energy Innovation ...  

Accelerating Innovation Webinar Series. In partnership with the Battelle Commercialization Council, the Energy Innovation Portal is hosting an ...

437

Accelerating Innovation Webinar Series - Energy Innovation Portal  

Accelerating Innovation Webinar Series. In partnership with the Battelle Commercialization Council, the Energy Innovation Portal is hosting an Accelerating Innovation ...

438

Transportation Energy Futures Series: Alternative Fuel Infrastructure...  

NLE Websites -- All DOE Office Websites (Extended Search)

Production Capacity, and Retail Availability for Low-Carbon Scenarios TRANSPORTATION ENERGY FUTURES SERIES: Alternative Fuel Infrastructure Expansion: Costs, Resources,...

439

Oak Ridge: Approaching 4 Million Safe Work Hours | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Oak Ridge: Approaching 4 Million Safe Work Hours Oak Ridge: Approaching 4 Million Safe Work Hours Oak Ridge: Approaching 4 Million Safe Work Hours February 27, 2013 - 12:00pm Addthis Mike Tidwell performs a leak check and inspection on propane tanks Mike Tidwell performs a leak check and inspection on propane tanks Inspections ensure hoisting and rigging equipment performs correctly so employees can safely complete their tasks Inspections ensure hoisting and rigging equipment performs correctly so employees can safely complete their tasks Mike Tidwell performs a leak check and inspection on propane tanks Inspections ensure hoisting and rigging equipment performs correctly so employees can safely complete their tasks OAK RIDGE, Tenn. - Workers at URS | CH2M Oak Ridge (UCOR), the prime contractor for EM's Oak Ridge cleanup, are approaching a milestone of 4

440

On a QUEST to Save Oakland 8.4 Gigawatt Hours | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

On a QUEST to Save Oakland 8.4 Gigawatt Hours On a QUEST to Save Oakland 8.4 Gigawatt Hours On a QUEST to Save Oakland 8.4 Gigawatt Hours August 13, 2010 - 3:38pm Addthis Lorelei Laird Writer, Energy Empowers Derrick Rebello wants to make the downtown corridor of Oakland, California, one of the greenest in the nation. Through the new Downtown Oakland Targeted Measure Saturation Project, he and his company, Quantum Energy Services and Technologies (QUEST), are targeting the city's 120-block business district to make as many buildings as possible highly energy efficient. "The goal is to really leave no stone unturned," said Rebello, president of QUEST. "We are trying to achieve 80 percent participation. And of those participating buildings, we are focusing on getting a 20 percent reduction

Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Developing hourly weather data for locations having only daily weather data  

Science Conference Proceedings (OSTI)

A methodology was developed to modify an hourly TMY weather tape to be representative of a location for which only average daily weather parameters were avilable. Typical hourly and daily variations in solar flux, and other parameters, were needed to properly exercise a computer model to predict the transient performance of a solar controlled greenhouse being designed for Riyadh, Saudi Arabia. The starting point was a TMY tape for Yuma, Arizona, since the design temperatures for summer and winter are nearly identical for Yuma and Riyadh. After comparing six of the most important weather variables, the hourly values on the Yuma tape were individually adjusted to give the same overall daily average conditions as existed in the long-term Riyadh data. Finally, a statistical analysis was used to confirm quantitatively that the daily variations between the long term average values for Riyadh and the modified TMY weather tape for Yuma matched satisfactorily.

Talbert, S.G.; Herold, K.E.; Jakob, F.E.; Lundstrom, D.K.

1983-06-01T23:59:59.000Z

442

Sub-Hour Solar Data for Power System Modeling From Static Spatial Variability Analysis: Preprint  

Science Conference Proceedings (OSTI)

High penetration renewable integration studies need high quality solar power data with spatial-temporal correlations that are representative of a real system. This paper will summarize the research relating sequential point-source sub-hour global horizontal irradiance (GHI) values to static, spatially distributed GHI values. This research led to the development of an algorithm for generating coherent sub-hour datasets that span distances ranging from 10 km to 4,000 km. The algorithm, in brief, generates synthetic GHI values at an interval of one-minute, for a specific location, using SUNY/Clean Power Research, satellite-derived, hourly irradiance values for the nearest grid cell to that location and grid cells within 40 km.

Hummon, M.; Ibanez, E.; Brinkman, G.; Lew, D.

2012-12-01T23:59:59.000Z

443

Warming Break Trends and Fractional Integration in the Northern, Southern, and Global Temperature Anomaly Series  

Science Conference Proceedings (OSTI)

This paper deals with the estimation of time trends in temperature anomaly series. However, instead of imposing that the estimated residuals from the time trends are covariance stationary processes with spectral density that is positive and ...

Luis A. Gil-Alana

2008-04-01T23:59:59.000Z

444

Quantum Mechanics Summary/Review Spring 2009 Compton Lecture Series  

E-Print Network (OSTI)

Quantum Mechanics Summary/Review Spring 2009 Compton Lecture Series: From Quantum Mechanics one component at a time. · Planck's constant determines the scale at which quantum mechanical effects could get rid of quantum mechanical effects ­ The "wavelength" of particles given by h mv would all

445

Renewal series and square-root boundaries for Bessel processes  

E-Print Network (OSTI)

We show how a description of Brownian exponential functionals as a renewal series gives access to the law of the hitting time of a square-root boundary by a Bessel process. This extends classical results by Breiman and Shepp, concerning Brownian motion, and recovers by different means, extensions for Bessel processes, obtained independently by Delong and Yor.

Enriquez, Nathanael; Yor, Marc

2008-01-01T23:59:59.000Z

446

Amp-hour counting charge control for photovoltaic hybrid power systems  

SciTech Connect

An amp-hour counting battery charge control algorithm has been defined and tested using the Digital Solar Technologies MPR-9400 microprocessor based photovoltaic hybrid charge controller. This work included extensive laboratory and field testing of the charge algorithm on vented lead-antimony and valve regulated lead-acid batteries. The test results have shown that with proper setup amp-hour counting charge control is more effective than conventional voltage regulated sub-array shedding in returning the lead-acid battery to a high state of charge.

Hund, T.D. [Sandia National Labs., Albuquerque, NM (United States); Thompson, B. [Biri Systems, Ithaca, NY (United States)

1997-10-01T23:59:59.000Z

447

PNNL: Biological Sciences: Frontiers in Biological Sciences Seminar Series  

NLE Websites -- All DOE Office Websites (Extended Search)

Frontiers in Biological Sciences Frontiers in Biological Sciences The seminar series features nationally/internationally known researchers from industry, government, and academia discussing novel ideas and advancements related to biological sciences. The hour-long seminars will feature a 45-minute talk by the featured speaker followed by 15 minutes of discussion with the audience members. 2014 Tim Donohue Timothy J. Donohue, Ph.D. Timothy J. Donohue, Ph.D. Department of Bacteriology University of Wisconsin-Madison Director, Great Lakes Bioenergy Research Center Tuesday, January 14, 2014 EMSL Auditorium 11:00 a.m. Biological Insights and Products Gleaned from Mining Bacterial Genomes and Pathways Professor Donohue has been a member of the UW-Madison Bacteriology Department since 1986. His research program studies bacterial energy

448

SF 6432-TM (xx-xx-xx) Time Material  

NLE Websites -- All DOE Office Websites (Extended Search)

costs are consistent with subparagraph (3) below. Control : SF 6432-TM Title: Standard Terms and Conditions for Time and Materials Labor-Hour Contracts Owner: Procurement Policy &...

449

Time-Off Awards Scale  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

/1/2010 /1/2010 TIME OFF AWARD SCALE The following chart is recommended and should be used unless another time-off award scale has been adopted by the servicing human resources office. TIME OFF SCALE VALUE OF THE EMPLOYEE'S CONTRIBUTION HOURS TO BE AWARDED MODERATE - A contribution to a product, program or service to the public which is of sufficient value to merit formal recognition. Beneficial change or modification of operating principles or procedures. 1 - 10 Hours SUBSTANTIAL - An important contribution to the value of a product, activity, program or service to the public. Significant change or modification or operating principles or procedures. 11 - 20 Hours HIGH - A significant contribution to the value of a product, activity, program or service to

450

Six- and three-hourly meteorological observations from 223 USSR stations  

SciTech Connect

This document describes a database containing 6- and 3-hourly meteorological observations from a 223-station network of the former Soviet Union. These data have been made available through cooperation between the two principal climate data centers of the United States and Russia: the National Climatic Data Center (NCDC), in Asheville, North Carolina, and the All-Russian Research Institute of Hydrometeorological Information -- World Data Centre (RIHMI-WDC) in Obninsk. Station records consist of 6- and 3-hourly observations of some 24 meteorological variables including temperature, weather type, precipitation amount, cloud amount and type, sea level pressure, relative humidity, and wind direction and speed. The 6-hourly observations extend from 1936 to 1965; the 3-hourly observations extend from 1966 through the mid-1980s (1983, 1984, 1985, or 1986; depending on the station). These data have undergone extensive quality assurance checks by RIHMI-WDC, NCDC, and the Carbon Dioxide Information Analysis Center (CDIAC). The database represents a wealth of meteorological information for a large and climatologically important portion of the earth`s land area, and should prove extremely useful for a wide variety of regional climate change studies. These data are available free of charge as a numeric data package (NDP) from CDIAC. The NDP consists of this document and 40 data files that are available via the Internet or on 8mm tape. The total size of the database is {approximately}2.6 gigabytes.

Razuvaev, V.N.; Apasova, E.B.; Martuganov, R.A. [All-Russian Research Inst. of Hydrometeorologicl Information, Obninsk (Russia). World Data Centre; Kaiser, D.P. [Oak Ridge National Lab., TN (United States)

1995-04-01T23:59:59.000Z

451

Thirty states sign ITER nuclear fusion plant deal 1 hour, 28 minutes ago  

E-Print Network (OSTI)

than 30 countries signed a deal on Tuesday to build the world's most advanced nuclear fusion reactor nuclear reactors, but critics argue it could be at least 50 years before a commercially viable reactorThirty states sign ITER nuclear fusion plant deal 1 hour, 28 minutes ago Representatives of more

452

NREL RSF Weather Data 2011 A csv containing hourly weather data...  

Open Energy Info (EERE)

NREL RSF Weather Data 2011 A csv containing hourly weather data at NREL's Research and Support Facility (RSF) for 2011. 2013-02-12T18:36:26Z 2013-02-12T18:36:26Z I am submitting...

453

Predicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study  

E-Print Network (OSTI)

(e.g., HVAC) for a specific building, optimizing control systems and strategies for a buildingPredicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study Richard building energy modeling suffers from several factors, in- cluding the large number of inputs required

Tennessee, University of

454

Sams Teach Yourself Paint Shop Pro 6 in 24 Hours, 1st edition  

Science Conference Proceedings (OSTI)

From the Publisher:This easily accessible tutorial uses a friendly, conversational approach to teach you the basics of Paint Shop Pro 6. With its careful, step-by-step approach, Sams Teach Yourself Paint Shop Pro 6 in 24 Hours makes it easy even for ...

T. Michael Clark; Michael Clark / Kris Tufto

1999-11-01T23:59:59.000Z

455

REDCap 102 Training Session This two-hour session presented by Heather Kim  

E-Print Network (OSTI)

at Vanderbilt. This version of REDCap is main- tained by the UIC Design and Analysis Core, and is offeredREDCap 102 Training Session This two-hour session presented by Heather Kim will explore some Capture) is a secure, web- based application for building and managing online databases for the collection

Illinois at Chicago, University of

456

REDCap 102 Training Session This two-hour session presented by John O'Keefe  

E-Print Network (OSTI)

REDCap team at Vanderbilt. This version of REDCap is main- tained by the UIC Design and Analysis CoreREDCap 102 Training Session This two-hour session presented by John O'Keefe will explore some Data Capture) is a secure, web- based application for building and managing online databases

Illinois at Chicago, University of

457

From the Big Bang to the Higgs Boson in Less Than an Hour  

E-Print Network (OSTI)

From the Big Bang to the Higgs Boson in Less Than an Hour Jeffrey D H Higgs boson Gauge bosons (force field quanta) Higgs boson and vacuum expectation value Strong) photon Z boson W bosons H Higgs boson Gauge bosons (force field quanta) Higgs boson and vacuum

Fygenson, Deborah Kuchnir

458

From the Big Bang to the Higgs Boson in Less Than an Hour  

E-Print Network (OSTI)

From the Big Bang to the Higgs Boson in Less Than an Hour Jeffrey D neutrino Z0 W + W -g gluon (8) photon Z boson W bosons Quarks Leptons H Higgs boson Gauge bosons (force field quanta) Higgs boson and vacuum expectation value Strong force EM force Weak force #12;Par7cles

Fygenson, Deborah Kuchnir

459

Fuel Cell Stacks Still Going Strong After 5,000 Hours  

Energy.gov (U.S. Department of Energy (DOE))

Two fuel cell stacks developed by FuelCell Energy in partnership with Versa Power Systems achieved 5,000 hours of service in February, meeting a goal of the U.S. Department of Energy's Solid State Energy Conversion Alliance.

460

EMERGENCY CONTACTS for DOWNER LAB Contact Phone After Hours Purpose/Additional Info  

E-Print Network (OSTI)

EMERGENCY CONTACTS for DOWNER LAB Contact Phone After Hours Purpose/Additional Info UT Police.utexas.edu/facilities/services for further information and non-emergency service request forms) Environmental Health & Safety 471-3511 911 emergencies, call 911 or go to a local hospital emergency room. (see healthyhorns.utexas.edu/emergencies

Shvets, Gennady

Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Development of global hourly 0.5-degree land surface air temperature datasets  

Science Conference Proceedings (OSTI)

Land surface air temperature (SAT) is one of the most important variables in weather and climate studies, and its diurnal cycle and day-to-day variation are also needed for a variety of applications. Global long-term hourly SAT observational data, ...

Aihui Wang; Xubin Zeng

462

Development of Global Hourly 0.5 Land Surface Air Temperature Datasets  

Science Conference Proceedings (OSTI)

Land surface air temperature (SAT) is one of the most important variables in weather and climate studies, and its diurnal cycle is also needed for a variety of applications. Global long-term hourly SAT observational data, however, do not exist. ...

Aihui Wang; Xubin Zeng

2013-10-01T23:59:59.000Z

463

SERI Information Data Bank Network  

DOE Green Energy (OSTI)

The availability of accurate, timely information will be an important key in the continued spread of solar energy. The products and services available through the Solar Energy Information Data Bank, a national information network developed and operated by Solar Energy Research Institute with the participation of member organization, are described.

Ubico, R.E.

1980-02-01T23:59:59.000Z

464

Jefferson Lab Science Series - Adventures in Science  

NLE Websites -- All DOE Office Websites (Extended Search)

Physics IQ Test Previous Video (Physics IQ Test) Science Series Video Archive Next Video (Polymers, Foams and Gels) Polymers, Foams and Gels Adventures in Science Professor Cynthia...

465

Jefferson Lab Science Series - Space Shuttle Science  

NLE Websites -- All DOE Office Websites (Extended Search)

Atlantis in the Chesapeake? Previous Video (Atlantis in the Chesapeake?) Science Series Video Archive Next Video (Mechanical Properties of Soda Cans) Mechanical Properties of Soda...

466

Jefferson Lab Science Series - Symmetry - From Kaleidoscopes...  

NLE Websites -- All DOE Office Websites (Extended Search)

Detecting Einstein's Gravity Waves Previous Video (Detecting Einstein's Gravity Waves) Science Series Video Archive Next Video (Physics IQ Test) Physics IQ Test Symmetry - From...

467

Jefferson Lab Science Series - Where's the Beach?  

NLE Websites -- All DOE Office Websites (Extended Search)

What Is CEBAF All About? Previous Video (What Is CEBAF All About?) Science Series Video Archive Next Video (Superconducting BAYCO Bits) Superconducting BAYCO Bits Where's the...

468

Jefferson Lab Science Series - Guesstimating the Environment  

NLE Websites -- All DOE Office Websites (Extended Search)

Video (The Origin of the Elements) Science Series Video Archive Next Video (The Higgs Boson and Our Life) The Higgs Boson and Our Life Guesstimating the Environment Dr....

469

CLEAN Webinar Series | Open Energy Information  

Open Energy Info (EERE)

Series Jump to: navigation, search Home | About | Inventory | Partnerships | Capacity Building | Webinars | Reports | Events | News | List Serve WebinarHeader.JPG Webinar1.JPG...

470

Jefferson Lab Science Series - Lowering the Boom!  

NLE Websites -- All DOE Office Websites (Extended Search)

with Earth) Science Series Video Archive Next Video (Environmental Impact of Global Burning) Environmental Impact of Global Burning Lowering the Boom Dr. Christine Darden -...

471

Time-Resolved  

NLE Websites -- All DOE Office Websites (Extended Search)

Time-Resolved Time-Resolved Time-Resolved Print Of the four fundamental parameters that we use to perceive the physical world (energy, momentum, position, and time) three correspond to the three broad categories of synchrotron experimental measurement techniques: spectroscopy (energy), scattering (momentum), and imaging (position). The fourth parameter-time-can in principle be applied to all the techniques. At the ALS, many experiments can be carried out in real time, with data being recorded from the same sample as it changes over time. Some time-resolved experiments take advantage of the pulsed nature of the ALS's synchrotron radiation, which, like a strobe light, can capture a series of "snapshots" of a process that, when viewed sequentially, show us how a given process evolves over time. Other experiments simply require two pulses: one to "pump" energy into the sample system and a second to probe the system's excited state.

472

Direct connection of series self-excited generators and HVDC converters  

Science Conference Proceedings (OSTI)

An alternative and simpler solution is proposed for the direct connection of generators to HVdc converters. The generator exciter windings are connected in series with the output of the HVdc converter and take the place of the conventional smoothing reactor. Existing steady state and time domain simulation programs are modified to represent the behavior of the series direct connection scheme. It is shown that series excitation extends naturally the power transmission capability and permits fast fault clearances.

Arrillaga, J.; Macdonald, S.J.; Watson, N.R.; Watson, S. (Univ. Canterbury, Christchurch (New Zealand))

1993-10-01T23:59:59.000Z

473

Tribal Renewable Energy Webinar Series 2014 Flyer | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Webinar Series 2014 Flyer Tribal Renewable Energy Webinar Series 2014 Flyer This document provides the dates and descriptions for the 2014 Tribal Renewable Energy Webinar Series...

474

Ramanujan's type series are recorded with in - CECM  

E-Print Network (OSTI)

Ramanujan Type Series. Ramanujan's remarkable series for include. This series adds roughly eight digits per term. Gosper in 1985 computed 17 million terms...

475

Building Technologies Program: Tax Deduction Qualified Software - Hourly Analysis Program (HAP) version 4.40  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Hourly Analysis Program (HAP) version 4.40.0.61 Hourly Analysis Program (HAP) version 4.40.0.61 On this page you'll find information about the HAP version 4.40.0.61 qualified computer software (buildings.energy.gov/qualified_software.html), which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings. Date Documentation Received by DOE: 10 April 2009 Statements in quotes are from the software developer. Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements as amplified by Notice 2008-40, Section 4 requirements. (1) The name, address, and (if applicable) web site of the software developer; Carrier / United Technologies Corporation Carrier Software Systems Bldg TR-4, Room 400A P. O. Box 4808 Syracuse, New York 13221

476

Six- and Three-Hourly Meteorological Observations from 223 Former U.S.S.R.  

NLE Websites -- All DOE Office Websites (Extended Search)

Six- and Three-Hourly Meteorological Observations from 223 Former U.S.S.R. Six- and Three-Hourly Meteorological Observations from 223 Former U.S.S.R. Stations (NDP-048) DOI: 10.3334/CDIAC/cli.ndp048 image PDF image Data image Previous Data (data through 1990, published in 1998) image Investigators Contributed by V. N. Razuvaev, E. B. Apasova, R. A. Martuganov All-Russian Research Institute of Hydrometeorological Information-World Data Centre Obninsk, Russia Prepared by D. P. Kaiser and G. P. Marino (contact: kaiserdp@ornl.gov) Carbon Dioxide Information Analysis Center Oak Ridge National Laboratory Oak Ridge, Tennessee Date Published: November 2007

477

Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster  

NLE Websites -- All DOE Office Websites (Extended Search)

Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster Berger, ME; Leonard, RB; Ricks, RC; Wiley, AL; Lowry, PC; Flynn, DF Abstract: This article addresses the problems emergency physicians would face in the event of a nuclear or radiological catastrophe. It presents information about what needs to be done so that useful information will be gathered and reasonable decisions made in the all important triage period. A brief introductory explanation of radiation injury is followed by practical guides for managing the focused history, physical exam, laboratory tests, initial treatment, and disposition of victims of acute radiation syndrome and combined injury. The guides are not intended to serve as a hospital's "emergency

478

Hourly analysis of a very large topically categorized web query log  

E-Print Network (OSTI)

We review a query log of hundreds of millions of queries that constitute the total query traffic for an entire week of a generalpurpose commercial web search service. Previously, query logs have been studied from a single, cumulative view. In contrast, our analysis shows changes in popularity and uniqueness of topically categorized queries across the hours of the day. We examine query traffic on an hourly basis by matching it against lists of queries that have been topically pre-categorized by human editors. This represents 13 % of the query traffic. We show that query traffic from particular topical categories differs both from the query stream as a whole and from other categories. This analysis provides valuable insight for improving retrieval effectiveness and efficiency. It is also relevant to the development of enhanced query disambiguation, routing, and caching algorithms.

Steven M. Beitzel; Eric C. Jensen; Abdur Chowdhury; David Grossman; Ophir Frieder

2004-01-01T23:59:59.000Z

479

Building Technologies Program: Tax Deduction Qualified Software - Hourly Analysis Program (HAP) version 4.41  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Hourly Analysis Program (HAP) version 4.41.0.6 Hourly Analysis Program (HAP) version 4.41.0.6 On this page you'll find information about the HAP version 4.41.0.6 qualified computer software (buildings.energy.gov/qualified_software.html), which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings. Date Documentation Received by DOE: 10 April 2009 Statements in quotes are from the software developer. Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements as amplified by Notice 2008-40, Section 4 requirements. (1) The name, address, and (if applicable) web site of the software developer; Carrier / United Technologies Corporation Carrier Software Systems Bldg TR-4, Room 400A P. O. Box 4808 Syracuse, New York 13221

480

An Hourly-Based Performance Comparison of an Integrated Micro-Structural  

NLE Websites -- All DOE Office Websites (Extended Search)

An Hourly-Based Performance Comparison of an Integrated Micro-Structural An Hourly-Based Performance Comparison of an Integrated Micro-Structural Perforated Shading Screen with Standard Shading Systems Title An Hourly-Based Performance Comparison of an Integrated Micro-Structural Perforated Shading Screen with Standard Shading Systems Publication Type Journal Article LBNL Report Number LBNL-5521E Year of Publication 2012 Authors Appelfeld, David, Andrew McNeil, and Svend Svendsen Journal Energy and Buildings Volume 50 Issue July 2012 Keywords building performance modelling, complex fenestration system, daylight, shading, solar gains Abstract This article evaluates the performance of an integrated micro structural perforated shading screen (MSPSS). Such a system maintains a visual connection with the outdoors while imitating the shading functionality of a venetian blind. Building energy consumption is strongly influenced by the solar gains and heat transfer through the transparent parts of the fenestration systems. MSPSS is angular-dependent shading device that provides an effective strategy in the control of daylight, solar gains and overheating through windows. The study focuses on using direct experimental methods to determine bi-directional transmittance properties of shading systems that are not included as standard shading options in readily available building performance simulation tools. The impact on the indoor environment, particularly temperature and daylight were investigated and compared to three other static complex fenestration systems. The bi-directional description of the systems was used throughout the article. The simulations were validated against outdoor measurements of solar and light transmittance.

Note: This page contains sample records for the topic "hourly time series" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Identifying Challenging Operating Hours for Solar Intergration in the NV Energy System  

Science Conference Proceedings (OSTI)

Abstract-- In this paper, the ability of the Nevada (NV) Energy generation fleet to meet its system balancing requirements under different solar energy penetration scenarios is studied. System balancing requirements include capacity, ramp rate, and ramp duration requirements for load following and regulation. If, during some operating hours, system capability is insufficient to meet these requirements, there is certain probability that the balancing authoritys control and reliability performance can be compromised. These operating hours are considered as challenging hours. Five different solar energy integration scenarios have been studied. Simulations have shown that the NV Energy system will be potentially able to accommodate up to 942 MW of solar photovoltaic (PV) generation. However, the existing generation scheduling procedure should be adjusted to make it happen. Fast-responsive peaker units need to be used more frequently to meet the increasing ramping requirements. Thus, the NV Energy system operational cost can increase. Index TermsSolar Generation, Renewables Integration, Balancing Process, Load Following, Regulation.

Etingov, Pavel V.; Lu, Shuai; Guo, Xinxin; Ma, Jian; Makarov, Yuri V.; Chadliev, Vladimir; Salgo, Richard

2012-05-09T23:59:59.000Z

482

Optimizing hourly hydro operations at the Salt Lake City Area integrated projects  

DOE Green Energy (OSTI)

The Salt Lake City Area (SLCA) office of the Western Area Power Administration (Western) is responsible for marketing the capacity and energy generated by the Colorado Storage, Collbran, and Rio Grande hydropower projects. These federal resources are collectively called the Salt Lake City Area Integrated Projects (SLCA/IP). In recent years, stringent operational limitations have been placed on several of these hydropower plants including the Glen Canyon Dam, which accounts for approximately 80% of the SLCA/IP resources. Operational limitations on SLCA/IP hydropower plants continue to evolve as a result of decisions currently being made in the Glen Canyon Dam Environmental Impact Statement (EIS) and the Power Marketing EIS. To analyze a broad range of issues associated with many possible future operational restrictions, Argonne National Laboratory (ANL), with technical assistance from Western has developed the Hydro LP (Linear Program) Model. This model simulates hourly operations at SLCA/IP hydropower plants for weekly periods with the objective of maximizing Western`s net revenues. The model considers hydropower operations for the purpose of serving SLCA firm loads, loads for special projects, Inland Power Pool (IPP) spinning reserve requirements, and Western`s purchasing programs. The model estimates hourly SLCA/IP generation and spot market activities. For this paper, hourly SLCA/IP hydropower plant generation is simulated under three operational scenarios and three hydropower conditions. For each scenario an estimate of Western`s net revenue is computed.

Veselka, T.D.; Hamilton, S. [Argonne National Lab., IL (United States); McCoy, J. [Western Area Power Administration, Salt Lake City, UT (United States)

1995-06-01T23:59:59.000Z

483

Reliability analysis of solar photovoltaic system using hourly mean solar radiation data  

Science Conference Proceedings (OSTI)

This paper presents the hourly mean solar radiation and standard deviation as inputs to simulate the solar radiation over a year. Monte Carlo simulation (MCS) technique is applied and MATLAB program is developed for reliability analysis of small isolated power system using solar photovoltaic (SPV). This paper is distributed in two parts. Firstly various solar radiation prediction methods along with hourly mean solar radiation (HMSR) method are compared. The comparison is carried on the basis of predicted electrical power generation with actual power generated by SPV system. Estimation of solar photovoltaic power using HMSR method is close to the actual power generated by SPV system. The deviation in monsoon months is due to the cloud cover. In later part of the paper various reliability indices are obtained by HMSR method using MCS technique. Load model used is IEEE-RTS. Reliability indices, additional load hours (ALH) and additional power (AP) reduces exponentially with increase in load indicates that a SPV source will offset maximum fuel when all of its generated energy is utilized. Fuel saving calculation is also investigated. Case studies are presented for Sagardeep Island in West Bengal state of India. (author)

Moharil, Ravindra M. [Department of Electrical Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, Maharashtra (India); Kulkarni, Prakash S. [Department of Electrical Engineering, Visvesvaraya National Institute of Technology, South Ambazari Road, Nagpur 440011, Maharashtra (India)

2010-04-15T23:59:59.000Z

484

Argonne CNM: 2005 Seminar Series  

NLE Websites -- All DOE Office Websites (Extended Search)

5 5 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 Dec. 8, 2005 "Ultrafast spectroscopy of single-walled carbon nanotubes," Libai Huang-Stevenson, University of Rochester, hosted by Gary Wiederrecht Abstract: The optical and electronic properties of single-walled carbon nanotubes (SWNTs) were studied by ultrafast spectroscopy. The photoexcited carriers in isolated SWNTs relaxed through many channels with decay time ranging from subpicosecond to over 100 ps. The magnitude of the longest-lived component in the ultrafast signal exhibited strong resonance dependence, thus suggesting that this lifetime corresponds to the band-edge relaxation time. Excitons are expected to play an important role in reduced dimension materials. Exciton effects in SWNTs were investigated through Auger recombination. Quantized Auger recombination was observed, and Auger lifetimes for two and three e-h pair states were determined. Auger recombination in SWNTs is extremely fast, with lifetimes of only a few picoseconds for SWNTs excited with two and three e-h pairs. Experimental results conclusively show that Auger recombination in SWNTs is due to interaction between one-dimensional excitons and occurs as a two-particle process; a one-electron picture cannot explain our data. Thus, this provides experimental evidence of discrete one-dimensional exciton-excited states in SWNTs.

485

Analysis of Wind Power and Load Data at Multiple Time Scales  

SciTech Connect

In this study we develop and apply new methods of data analysis for high resolution wind power and system load time series, to improve our understanding of how to characterize highly variable wind power output and the correlations between wind power and load. These methods are applied to wind and load data from the ERCOT region, and wind power output from the PJM and NYISO areas. We use a wavelet transform to apply mathematically well-defined operations of smoothing and differencing to the time series data. This approach produces a set of time series of the changes in wind power and load (or ?deltas?), over a range of times scales from a few seconds to approximately one hour. A number of statistical measures of these time series are calculated. We present sample distributions, and devise a method for fitting the empirical distribution shape in the tails. We also evaluate the degree of serial correlation, and linear correlation between wind and load. Our examination of the data shows clearly that the deltas do not follow a Gaussian shape; the distribution is exponential near the center and appears to follow a power law for larger fluctuations. Gaussian distributions are frequently used in modeling studies. These are likely to over-estimate the probability of small to moderate deviations. This in turn may lead to an over-estimation of the additional reserve requirement (hence the cost) for high penetration of wind. The Gaussian assumption provides no meaningful information about the real likelihood of large fluctuations. The possibility of a power law distribution is interesting because it suggests that the distribution shape for of wind power fluctuations may become independent of system size for large enough systems.

Coughlin, Katie; Eto, J.H.

2010-12-20T23:59:59.000Z

486

SERI Biomass Program. FY 1983 annual report  

DOE Green Energy (OSTI)

This report summarizes the progress and research accomplishments of the SERI Biomass Program during FY 1983. The SERI Biomass Program consists of three elements: Aquatic Species, Anaerobic Digestion, and Photo/Biological Hydrogen. Each element has been indexed separately. 2 references, 44 figures, 22 tables.

Corder, R.E.; Hill, A.M.; Lindsey, H.; Lowenstein, M.Z.; McIntosh, R.P.

1984-02-01T23:59:59.000Z

487

A ZVS cycloconverter based series active filter  

Science Conference Proceedings (OSTI)

A new zero voltage switching (ZVS) series active filter (SAF) is proposed. The circuit includes a phase shift based PWM full-bridge inverter. A cycloconverter is used to control the polarity of output voltage pulses of mentioned inverter. Combination ... Keywords: series active filter, zero voltage switching

M. Tarafdar Haque; M. Sabahi

2006-03-01T23:59:59.000Z

488

LPP Precision Data Series 2012-2013  

Science Conference Proceedings (OSTI)

The Laboratory Proficiency Program Precision Data Series is a valuable reference tool that can be used for determining the expected variability in the methods used in your lab. LPP Precision Data Series 2012-2013 Lab Supplies Lab Supplies Lab Supplies

489

LPP Precision Data Series 2009-2010  

Science Conference Proceedings (OSTI)

The Laboratory Proficiency Program Precision Data Series is a valuable reference tool that can be used for determining the expected variability in the methods used in your lab. LPP Precision Data Series 2009-2010 Lab Supplies Lab Supplies AOCS Technical

490

LPP Precision Data Series 2011-2012  

Science Conference Proceedings (OSTI)

The Laboratory Proficiency Program Precision Data Series is a valuable reference tool that can be used for determining the expected variability in the methods used in your lab. LPP Precision Data Series 2011-2012 Lab Supplies Lab Supplies Lab Supplies

491

LPP Precision Data Series 2010-2011  

Science Conference Proceedings (OSTI)

The Laboratory Proficiency Program Precision Data Series is a valuable reference tool that can be used for determining the expected variability in the methods used in your lab. LPP Precision Data Series 2010-2011 Lab Supplies Lab Supplies AOCS Technical

492

Microsoft Windows Server 2008 Administrator Series  

E-Print Network (OSTI)

Microsoft Windows Server 2008 Administrator Series Led by: Dianne Burke, MCSE and UM Faculty Member emergency such as a medical emergency to drop out of either one of Windows Server 2008 class before on Microsoft Windows Server 2008. The series prepares IT Professionals for the Microsoft Certified Technology

Crone, Elizabeth

493

Property:EstimatedTimeHigh | Open Energy Information  

Open Energy Info (EERE)

EstimatedTimeHigh EstimatedTimeHigh Jump to: navigation, search Property Name EstimatedTimeHigh Property Type Quantity Description the high estimate of time required Use this type to enumerate a length of time. The default unit is the year. Acceptable units (and their conversions) are: 8766 hours,hour,h,H,Hour,Hours,HOUR,HOURS 365.25 days,day,d,Day,Days,D,DAY,DAYS 52.17857 weeks,week,w,Week,Weeks,W,WEEK,WEEKS 12 months,month,m,Month,Months,M,MONTH,MONTHS 1 years,year,y,Year,Years,Y,YEAR,YEARS Pages using the property "EstimatedTimeHigh" Showing 25 pages using this property. (previous 25) (next 25) 2 2-M Probe Survey + 3.422313e-4 years3 hours 0.125 days 0.0179 weeks 0.00411 months + A Acoustic Logs + 0.0881 years772.08 hours 32.17 days 4.596 weeks 1.057 months + Aerial Photography + 0.00548 years48 hours

494

Property:EstimatedTimeLow | Open Energy Information  

Open Energy Info (EERE)

EstimatedTimeLow EstimatedTimeLow Jump to: navigation, search Property Name EstimatedTimeLow Property Type Quantity Description the low estimate of time required Use this type to enumerate a length of time. The default unit is the year. Acceptable units (and their conversions) are: 8766 hours,hour,h,H,Hour,Hours,HOUR,HOURS 365.25 days,day,d,Day,Days,D,DAY,DAYS 52.17857 weeks,week,w,Week,Weeks,W,WEEK,WEEKS 12 months,month,m,Month,Months,M,MONTH,MONTHS 1 years,year,y,Year,Years,Y,YEAR,YEARS Pages using the property "EstimatedTimeLow" Showing 25 pages using this property. (previous 25) (next 25) 2 2-M Probe Survey + 1.711157e-4 years1.5 hours 0.0625 days 0.00893 weeks 0.00205 months + A Acoustic Logs + 0.023 years201.36 hours 8.39 days 1.199 weeks 0.276 months + Aerial Photography + 2.737851e-4 years2.4 hours

495

Downhole delay assembly for blasting with series delay  

DOE Patents (OSTI)

A downhole delay assembly is provided which can be placed into a blasthole for initiation of explosive in the blasthole. The downhole delay assembly includes at least two detonating time delay devices in series in order to effect a time delay of longer than about 200 milliseconds in a round of explosions. The downhole delay assembly provides a protective housing to prevent detonation of explosive in the blasthole in response to the detonation of the first detonating time delay device. There is further provided a connection between the first and second time delay devices. The connection is responsive to the detonation of the first detonating time delay device and initiates the second detonating time delay device. A plurality of such downhole delay assemblies are placed downhole in unfragmented formation and are initiated simultaneously for providing a round of explosive expansions. The explosive expansions can be used to form an in situ oil shale retort containing a fragmented permeable mass of formation particles.

Ricketts, Thomas E. (Grand Junction, CO)

1982-01-01T23:59:59.000Z

496

Impacts of different data averaging times on statistical analysis of distributed domestic photovoltaic systems  

Science Conference Proceedings (OSTI)

The trend of increasing application of distributed generation with solar photovoltaics (PV-DG) suggests that a widespread integration in existing low-voltage (LV) grids is possible in the future. With massive integration in LV grids, a major concern is the possible negative impacts of excess power injection from on-site generation. For power-flow simulations of such grid impacts, an important consideration is the time resolution of demand and generation data. This paper investigates the impact of time averaging on high-resolution data series of domestic electricity demand and PV-DG output and on voltages in a simulated LV grid. Effects of 10-minutely and hourly averaging on descriptive statistics and duration curves were determined. Although time averaging has a considerable impact on statistical properties of the demand in individual households, the impact is smaller on aggregate demand, already smoothed from random coincidence, and on PV-DG output. Consequently, the statistical distribution of simulated grid voltages was also robust against time averaging. The overall judgement is that statistical investigation of voltage variations in the presence of PV-DG does not require higher resolution than hourly. (author)

Widen, Joakim; Waeckelgaard, Ewa [Department of Engineering Sciences, The Aangstroem Laboratory, Uppsala University, P.O. Box 534, SE-751 21 Uppsala (Sweden); Paatero, Jukka; Lund, Peter [Advanced Energy Systems, Helsinki University of Technology, P.O. Box 2200, FI-02015 HUT (Finland)

2010-03-15T23:59:59.000Z

497

Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Min Load  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Min Load for 12 hours Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Min Load for 12 hours Docket No. EO-05-01. Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Min Load for 12 hours. Arial photograph showing plant and location of predicted SO2 violations, predicted in 2000. Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Min Load for 12 hours More Documents & Publications Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME, Units 3, 1, 2 SO2 Case Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME, Units 4, 1, 2 SO2 Case Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by

498

Observed Temperature Effects on Hourly Residential Electric Load Reduction in Response to an Experimental Critical Peak Pricing Tariff  

E-Print Network (OSTI)

changes to retail electricity rates on an hourly or dailyweekdays 2004 [6] Most electricity rates in use today arerates with control technologies use 30- 40% less electricity

Herter, Karen B.; McAuliffe, Patrick K.; Rosenfeld, Arthur H.

2005-01-01T23:59:59.000Z

499

Fault Detection of Hourly Measurements in District Heat and Electricity Consumption; Feldetektion av Timinsamlade Mtvrden i Fjrrvrme- och Elfrbrukning.  

E-Print Network (OSTI)

?? Within the next years, the amount of consumption data will increase rapidly as old meters will be exchanged in favor of meters with hourly (more)

Johansson, Andreas

2005-01-01T23:59:59.000Z

500

Essays on Nonparametric Series Estimation with Application to Financial Econometrics  

E-Print Network (OSTI)

This dissertation includes two essays. In the first essay, I proposed an alternative estimator for multivariate densities. This estimator can be characterized as a transformation based estimator. The first stage estimates each marginal density separately. In the second stage, the joint density of estimated marginal cumulative distribution functions (CDF) are approximated by the exponential series estimator. The final estimate is then obtained as the product of the marginal densities and the joint density estimated in the second stage. Extensive Monte Carlo studies show the proposed estimator outperforms kernel estimators in joint density and tail distribution estimation. An illustrative example on estimating the conditional copula density between S & P 500 and FTSE 100 given Hangseng and Nikkei 225 is also discussed. In the second essay, I extended the semiparametric model by Chen and Fan [X. Chen, Y. Fan, Estimation of copula-based semiparametric time series models, Journal of Econometrics 130 (2006) 307-335], and studied a class of univariate copula-based nonparametric stationary Markov models in which the copulas and the marginal distributions are estimated nonparametrically. In particular, I focused on the stationary Markov process of order 1 with continuous state space because it has the beta-mixing property for the analysis of weakly dependent processes. The copula density functions for time series models are approximated by the series estimate on sieve spaces. In this study, a finite dimensional linear space spanned by a sequence of power functions is treated as the sieve space where the estimation space of the copula density function is based. This sieve series estimator can be characterized as the exponential series estimator under mild smoothness conditions. By using the beta-mixing properties, I showed that the copula density function approximated by the exponential series estimator for stationary first-order Markov processes has the same convergence rate as the i.i.d. data. The Monte Carlo simulations show that the proposed estimator outperforms the kernel estimator in the conditional density estimation, except for the Frank copula-based Markov model. In addition, the proposed estimator considerably dominates the the kernel estimator when used in the one-step-ahead forecast.

Chang, Meng-Shiuh

2011-08-01T23:59:59.000Z