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Note: This page contains sample records for the topic "forecast integration william" from the National Library of EnergyBeta (NLEBeta).
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We encourage you to perform a real-time search of NLEBeta
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1

A WRF Ensemble for Improved Wind Speed Forecasts at Turbine Height ADAM J. DEPPE AND WILLIAM A. GALLUS JR.  

E-Print Network [OSTI]

A WRF Ensemble for Improved Wind Speed Forecasts at Turbine Height ADAM J. DEPPE AND WILLIAM A in wind speed forecasts at a typical wind turbine hub height (80 m). An ensemble consisting of WRF model ensemble members for forecasting wind speed. A second configuration using three random perturbations

McCalley, James D.

2

Integrating agricultural pest biocontrol into forecasts of energy biomass production  

E-Print Network [OSTI]

Analysis Integrating agricultural pest biocontrol into forecasts of energy biomass production T pollution, greenhouse gas emissions, and soil erosion (Nash, 2007; Searchinger et al., 2008). On the other

Gratton, Claudio

3

Weather forecast-based optimization of integrated energy systems.  

SciTech Connect (OSTI)

In this work, we establish an on-line optimization framework to exploit detailed weather forecast information in the operation of integrated energy systems, such as buildings and photovoltaic/wind hybrid systems. We first discuss how the use of traditional reactive operation strategies that neglect the future evolution of the ambient conditions can translate in high operating costs. To overcome this problem, we propose the use of a supervisory dynamic optimization strategy that can lead to more proactive and cost-effective operations. The strategy is based on the solution of a receding-horizon stochastic dynamic optimization problem. This permits the direct incorporation of economic objectives, statistical forecast information, and operational constraints. To obtain the weather forecast information, we employ a state-of-the-art forecasting model initialized with real meteorological data. The statistical ambient information is obtained from a set of realizations generated by the weather model executed in an operational setting. We present proof-of-concept simulation studies to demonstrate that the proposed framework can lead to significant savings (more than 18% reduction) in operating costs.

Zavala, V. M.; Constantinescu, E. M.; Krause, T.; Anitescu, M.

2009-03-01T23:59:59.000Z

4

A new improved forecasting method integrated fuzzy time series with the exponential smoothing method  

Science Journals Connector (OSTI)

This paper presents a new method of integrated fuzzy time series with the exponential smoothing method to forecast university enrolments. The data of historical enrolments of the University of Alabama shown in Liu et al. (2011) are adopted to illustrate the forecasting process of the proposed method. A comparison has been made with five previous fuzzy time series models. Meanwhile, the mean squared error has also been calculated as the evaluation criterion to illustrate the performance of the proposed method. The empirical analysis shows that the proposed model reflects the fluctuations in fuzzy time series better and provides better overall forecasting results than the five listed previous models.

Peng Ge; Jun Wang; Peiyu Ren; Huafeng Gao; Yuyan Luo

2013-01-01T23:59:59.000Z

5

Analysis and Synthesis of Load Forecasting Data for Renewable Integration Studies: Preprint  

SciTech Connect (OSTI)

As renewable energy constitutes greater portions of the generation fleet, the importance of modeling uncertainty as part of integration studies also increases. In pursuit of optimal system operations, it is important to capture not only the definitive behavior of power plants, but also the risks associated with systemwide interactions. This research examines the dependence of load forecast errors on external predictor variables such as temperature, day type, and time of day. The analysis was utilized to create statistically relevant instances of sequential load forecasts with only a time series of historic, measured load available. The creation of such load forecasts relies on Bayesian techniques for informing and updating the model, thus providing a basis for networked and adaptive load forecast models in future operational applications.

Steckler, N.; Florita, A.; Zhang, J.; Hodge, B. M.

2013-11-01T23:59:59.000Z

6

A fully automated and integrated multi-scale forecasting scheme for emergency preparedness  

Science Journals Connector (OSTI)

In this paper, we present one multi-scale integrated simulation technology for emergency preparedness with a holistic approach in hurricane, related storm surge and flood forecasting; infrastructure assessment; and emergency planning. This is an emergency ... Keywords: Finite element, Fully automated through scripting, Multi-scale hurricane simulation, Overland flow, Parallel computation, Water surge

Muhammad Akbar; Shahrouz Aliabadi; Reena Patel; Marvin Watts

2013-01-01T23:59:59.000Z

7

TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY  

E-Print Network [OSTI]

for the information in this report; nor does any party represent that the uses of this information will not infringe of transportation fuel and crude oil import requirements to establish the quantitative baseline to support its fuels, integration of energy use and land use planning, and transportation fuel infrastructure

8

Unit commitment with wind power generation: integrating wind forecast uncertainty and stochastic programming.  

SciTech Connect (OSTI)

We present a computational framework for integrating the state-of-the-art Weather Research and Forecasting (WRF) model in stochastic unit commitment/energy dispatch formulations that account for wind power uncertainty. We first enhance the WRF model with adjoint sensitivity analysis capabilities and a sampling technique implemented in a distributed-memory parallel computing architecture. We use these capabilities through an ensemble approach to model the uncertainty of the forecast errors. The wind power realizations are exploited through a closed-loop stochastic unit commitment/energy dispatch formulation. We discuss computational issues arising in the implementation of the framework. In addition, we validate the framework using real wind speed data obtained from a set of meteorological stations. We also build a simulated power system to demonstrate the developments.

Constantinescu, E. M.; Zavala, V. M.; Rocklin, M.; Lee, S.; Anitescu, M. (Mathematics and Computer Science); (Univ. of Chicago); (New York Univ.)

2009-10-09T23:59:59.000Z

9

William J Heinzer: Publications  

E-Print Network [OSTI]

[38], William J. Heinzer, James A. Huckaba, and Ira J. Papick. m-canonical ideals in integral domains. Comm. ... [50], R. Gilmer, W. Heinzer, and W. W. Smith. ..... [

10

Oxygenate Supply/Demand Balances in the Short-Term Integrated Forecasting Model (Released in the STEO March 1998)  

Reports and Publications (EIA)

The blending of oxygenates, such as fuel ethanol and methyl tertiary butyl ether (MTBE), into motor gasoline has increased dramatically in the last few years because of the oxygenated and reformulated gasoline programs. Because of the significant role oxygenates now have in petroleum product markets, the Short-Term Integrated Forecasting System (STIFS) was revised to include supply and demand balances for fuel ethanol and MTBE. The STIFS model is used for producing forecasts in the Short-Term Energy Outlook. A review of the historical data sources and forecasting methodology for oxygenate production, imports, inventories, and demand is presented in this report.

1998-01-01T23:59:59.000Z

11

FY 1996 solid waste integrated life-cycle forecast characteristics summary. Volumes 1 and 2  

SciTech Connect (OSTI)

For the past six years, a waste volume forecast has been collected annually from onsite and offsite generators that currently ship or are planning to ship solid waste to the Westinghouse Hanford Company`s Central Waste Complex (CWC). This document provides a description of the physical waste forms, hazardous waste constituents, and radionuclides of the waste expected to be shipped to the CWC from 1996 through the remaining life cycle of the Hanford Site (assumed to extend to 2070). In previous years, forecast data has been reported for a 30-year time period; however, the life-cycle approach was adopted this year to maintain consistency with FY 1996 Multi-Year Program Plans. This document is a companion report to two previous reports: the more detailed report on waste volumes, WHC-EP-0900, FY1996 Solid Waste Integrated Life-Cycle Forecast Volume Summary and the report on expected containers, WHC-EP-0903, FY1996 Solid Waste Integrated Life-Cycle Forecast Container Summary. All three documents are based on data gathered during the FY 1995 data call and verified as of January, 1996. These documents are intended to be used in conjunction with other solid waste planning documents as references for short and long-term planning of the WHC Solid Waste Disposal Division`s treatment, storage, and disposal activities over the next several decades. This document focuses on two main characteristics: the physical waste forms and hazardous waste constituents of low-level mixed waste (LLMW) and transuranic waste (both non-mixed and mixed) (TRU(M)). The major generators for each waste category and waste characteristic are also discussed. The characteristics of low-level waste (LLW) are described in Appendix A. In addition, information on radionuclides present in the waste is provided in Appendix B. The FY 1996 forecast data indicate that about 100,900 cubic meters of LLMW and TRU(M) waste is expected to be received at the CWC over the remaining life cycle of the site. Based on ranges provided by the waste generators, this baseline volume could fluctuate between a minimum of about 59,720 cubic meters and a maximum of about 152,170 cubic meters. The range is primarily due to uncertainties associated with the Tank Waste Remediation System (TWRS) program, including uncertainties regarding retrieval of long-length equipment, scheduling, and tank retrieval technologies.

Templeton, K.J.

1996-05-23T23:59:59.000Z

12

FY 1996 solid waste integrated life-cycle forecast container summary volume 1 and 2  

SciTech Connect (OSTI)

For the past six years, a waste volume forecast has been collected annually from onsite and offsite generators that currently ship or are planning to ship solid waste to the Westinghouse Hanford Company`s Central Waste Complex (CWC). This document provides a description of the containers expected to be used for these waste shipments from 1996 through the remaining life cycle of the Hanford Site. In previous years, forecast data have been reported for a 30-year time period; however, the life-cycle approach was adopted this year to maintain consistency with FY 1996 Multi-Year Program Plans. This document is a companion report to the more detailed report on waste volumes: WHC-EP0900, FY 1996 Solid Waste Integrated Life-Cycle Forecast Volume Summary. Both of these documents are based on data gathered during the FY 1995 data call and verified as of January, 1996. These documents are intended to be used in conjunction with other solid waste planning documents as references for short and long-term planning of the WHC Solid Waste Disposal Division`s treatment, storage, and disposal activities over the next several decades. This document focuses on the types of containers that will be used for packaging low-level mixed waste (LLMW) and transuranic waste (both non-mixed and mixed) (TRU(M)). The major waste generators for each waste category and container type are also discussed. Containers used for low-level waste (LLW) are described in Appendix A, since LLW requires minimal treatment and storage prior to onsite disposal in the LLW burial grounds. The FY 1996 forecast data indicate that about 100,900 cubic meters of LLMW and TRU(M) waste are expected to be received at the CWC over the remaining life cycle of the site. Based on ranges provided by the waste generators, this baseline volume could fluctuate between a minimum of about 59,720 cubic meters and a maximum of about 152,170 cubic meters.

Valero, O.J.

1996-04-23T23:59:59.000Z

13

Forecasting 65+ travel : an integration of cohort analysis and travel demand modeling  

E-Print Network [OSTI]

Over the next 30 years, the Boomers will double the 65+ population in the United States and comprise a new generation of older Americans. This study forecasts the aging Boomers' travel. Previous efforts to forecast 65+ ...

Bush, Sarah, 1973-

2003-01-01T23:59:59.000Z

14

Wind Power Forecasting  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Retrospective Reports 2011 Smart Grid Wind Integration Wind Integration Initiatives Wind Power Forecasting Wind Projects Email List Self Supplied Balancing Reserves Dynamic...

15

AN APPLICATION OF URBANSIM TO THE AUSTIN, TEXAS REGION: INTEGRATED-MODEL FORECASTS FOR THE YEAR 2030  

E-Print Network [OSTI]

AN APPLICATION OF URBANSIM TO THE AUSTIN, TEXAS REGION: INTEGRATED-MODEL FORECASTS FOR THE YEAR, as well as energy consumption and greenhouse gas emissions. This work describes the modeling of year-2030 policies significantly impact the region's future land use patterns, traffic conditions, greenhouse gas

Kockelman, Kara M.

16

Depositional sequences and integrated recovery efficiency forecast models for San Andres and Clearfork Units in the Central Basin Platform and the Northern Shelf, west Texas  

E-Print Network [OSTI]

This paper develops depositional sequences of the carbonate ramp and the carbonate shelf models for an idealized cycle and multiple cycles of depositions. Based on the developed depositional sequences, the integrated recovery efficiency forecast...

Shao, Hongbin

2012-06-07T23:59:59.000Z

17

Wind Power Forecasting  

Science Journals Connector (OSTI)

The National Center for Atmospheric Research (NCAR) has configured a Wind Power Forecasting System for Xcel Energy that integrates high resolution and ensemble...

Sue Ellen Haupt; William P. Mahoney; Keith Parks

2014-01-01T23:59:59.000Z

18

William Weaver  

Broader source: Energy.gov [DOE]

William W. Weaver is a Nuclear Facilities and Tritium Risk Specialist in the Office of Chief Nuclear Safety, experienced with operation and decommissioning of nuclear facilities and tritium...

19

Solid waste integrated forecast technical (SWIFT) report: FY1997 to FY 2070, Revision 1  

SciTech Connect (OSTI)

This web site provides an up-to-date report on the radioactive solid waste expected to be managed by Hanford's Waste Management (WM) Project from onsite and offsite generators. It includes: an overview of Hanford-wide solid waste to be managed by the WM Project; program-level and waste class-specific estimates; background information on waste sources; and comparisons with previous forecasts and with other national data sources. This web site does not include: liquid waste (current or future generation); waste to be managed by the Environmental Restoration (EM-40) contractor (i.e., waste that will be disposed of at the Environmental Restoration Disposal Facility (ERDF)); or waste that has been received by the WM Project to date (i.e., inventory waste). The focus of this web site is on low-level mixed waste (LLMW), and transuranic waste (both non-mixed and mixed) (TRU(M)). Some details on low-level waste and hazardous waste are also provided. Currently, this web site is reporting data th at was requested on 10/14/96 and submitted on 10/25/96. The data represent a life cycle forecast covering all reported activities from FY97 through the end of each program's life cycle. Therefore, these data represent revisions from the previous FY97.0 Data Version, due primarily to revised estimates from PNNL. There is some useful information about the structure of this report in the SWIFT Report Web Site Overview.

Valero, O.J.; Templeton, K.J.; Morgan, J.

1997-01-07T23:59:59.000Z

20

Alison Williams  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Alison Williams Alison Williams Alison Williams Energy Efficiency Standards Group Lawrence Berkeley National Laboratory 1 Cyclotron Road MS 90R4000 Berkeley CA 94720 Office Location: 90-4042 (510) 495-2548 AAWilliams@lbl.gov This publications database is an ongoing project, and not all Division publications are represented here yet. Publications 2013 Meyers, Stephen, Alison A. Williams, and Peter Chan. Energy and Economic Impacts of U.S. Federal Energy and Water Conservation Standards Adopted From 1987 Through 2012. Berkeley : Lawrence Berkeley National Laboratory, 2013. Download: standards_1987-2012_impacts_overview_lbnl-6217e.pdf (1012.36 KB) Williams, Alison A., Edward L. Vine, Sarah K. Price, Andrew Sturges, and Gregory J. Rosenquist. The Cost of Enforcing Building Energy Codes: Phase

Note: This page contains sample records for the topic "forecast integration william" 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

Advanced forecast of coal seam thickness variation by integrated geophysical method in the laneway  

Science Journals Connector (OSTI)

Coal seam thickness variation has a direct relationship with coal mine design and mining, and the mutation locations of the thickness are generally the gas accumulation area. In order to justify the feasibility and validity of advanced forecast about the thickness change, we carried out geophysical numerical simulation. Utilizing generalized Radon transform migration, coal-rock interface can be identified with an error of less than 2%. By the calculation of 2.5D finite difference method, transient electric magnetic response characteristics of the thickness variation is conspicuous. In a coal mine the case study indicated that: the reflected wave energy anomaly offer interface information of the thickness change point; the apparent resistivity provide the physical index of the thick or thin coal seam area; synthesizing two kinds of information can predict the thickness variation tendency ahead of the driving face, which can ensure the safety of driving efficiency.

Wang Bo; Liu Sheng-dong; Jiang Zhi-hai; Huang Lan-ying

2011-01-01T23:59:59.000Z

22

Where can I find free economic forecasts? Economic forecasts have become an integral part of business and individual investment decisions. Economic  

E-Print Network [OSTI]

, the Conference Board provides short term (quarterly and annual) forecasts for real GDP, real consumer spending include (among others): GDP and real GDP, price indices for GDP and consumer spending, unemployment are projections of economic activity including GDP growth. These reports can be found on-line at: http

Johnson, Eric E.

23

RACORO Forecasting  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Daniel Hartsock CIMMS, University of Oklahoma ARM AAF Wiki page Weather Briefings Observed Weather Cloud forecasting models BUFKIT forecast soundings + guidance...

24

William Fisk  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

William J. Fisk William J. Fisk William Fisk Indoor Environment Group Lawrence Berkeley National Laboratory 1 Cyclotron Road MS 90R3058 Berkeley CA 94720 Office Location: 90-3058F (510) 486-5910 WJFisk@lbl.gov William Fisk is a Sr. Scientist (mechanical engineer) and is the leader of the Indoor Environment Group. He has more than 30 years of experience in research on the interrelated issues of building energy performance, ventilation, indoor environmental quality (IEQ), and occupant health and performance. His research focuses primarily on energy efficient methods of maintaining and improving ventilation and IEQ in commercial buildings and on quantifying the impacts of building ventilation and IEQ on health and performance. He is a fellow of ASHRAE, a member of the Academy of Indoor

25

William Morrow  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Morrow Morrow William Morrow Sustainable Energy Systems Group Lawrence Berkeley National Laboratory 1 Cyclotron Road MS 90R2002 Berkeley CA 94720 Office Location: 90-2024L (510) 495-2027 WRMorrow@lbl.gov William R. Morrow, III is a Senior Scientific Engineering Associate in the Energy Analysis & Environmental Impacts Department at Lawrence Berkeley National Laboratory (LBNL) and is a member of the Sustainable Energy Systems Group and the Emerging Technology Assessment Group. William's research is focused on how to reconcile complex environmental goals with social demands for energy services and sustainable economic development. His research focuses on evaluating large-scale energy infrastructures and systems such as the electric grid, residential, commercial, and

26

Thomas D. Williams Assistant Administrator  

Gasoline and Diesel Fuel Update (EIA)

Thomas D. Williams Thomas D. Williams Assistant Administrator for Resource and Tecnology Management Duties Thomas D. Williams is the Assistant Administrator for Resource & Technology Management. He provides leadership and direction to oversee the management and operation of EIA's employee services, information technology policy and operations, and integrated planning, budget, procurement, evaluation and project management activity. Biography Thom is a career member of the Senior Executive Service with more than 27 years of professional experience in developing, linking, and implementing successful strategic, financial, human capital, operational, technology, and administrative policies and plans for federal research, science, engineering, and regulatory programs.

27

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

by Esmeralda Sánchez The Office of Integrated Analysis and Forecasting has produced an annual evaluation of the accuracy of the Annual Energy Outlook (AEO) since 1996. Each year, the forecast evaluation expands on the prior year by adding the projections from the most recent AEO and the most recent historical year of data. The Forecast Evaluation examines the accuracy of AEO forecasts dating back to AEO82 by calculating the average absolute forecast errors for each of the major variables for AEO82 through AEO2003. The average absolute forecast error, which for the purpose of this report will also be referred to simply as "average error" or "forecast error", is computed as the simple mean, or average, of all the absolute values of the percent errors,

28

WILLIAM H  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

WILLIAM H. ESCHENFELDT, Ph.D. WILLIAM H. ESCHENFELDT, Ph.D. PROFESSIONAL EXPERIENCE Argonne National Laboratory (1996-present) STA - Molecular Biologist Amoco BioProducts Corporation (1988 - 1995) Staff Research Scientist National Cancer Institute (1981 - 1988) Senior Staff Fellow University of Kentucky (1979 - 1981) Public Health Service Postdoctoral Fellow EDUCATIONAL SUMMARY Ph.D. Microbiology, Michigan State University (1979) M.S. Microbiology, Michigan State University (1975) B.S. Microbiology, University of Illinois (1972) PUBLICATIONS Nusca T.D., Kim Y., Maltseva N., Lee J.Y., Eschenfeldt W., Stols L., Schofield M.M., Scaglione J.B., Dixon S.D., Oves-Costales D,. Challis G.L., Hanna P.C., Pfleger B.F., Joachimiak A., Sherman D.H. (2012) Functional and structural analysis of the siderophore synthetase AsbB

29

William F. Hederman, Jr. | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

William F. Hederman, Jr. William F. Hederman, Jr. About Us William F. Hederman, Jr. - Deputy Director for Systems Integration and Senior Advisor to the Secretary William F. Hederman, Jr. William F. Hederman is the Deputy Director for Systems Integration and Senior Advisor to the Secretary. Mr. Hederman is a trained electrical engineer and public policy analyst with decades of executive experience in the private and public sectors. He began his professional career as a systems integration engineer at Bell Labs in the directorate that later developed the cell phone system. Mr. Hederman served on the RAND Corporation's research team that pioneered analysis of Federal technology demonstrations, worked as the Congressional Budget Office's first energy and science budget analyst, and led the establishment of the policy

30

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

by Esmeralda Sanchez by Esmeralda Sanchez Errata -(7/14/04) The Office of Integrated Analysis and Forecasting has produced an annual evaluation of the accuracy of the Annual Energy Outlook (AEO) since 1996. Each year, the forecast evaluation expands on the prior year by adding the projections from the most recent AEO and the most recent historical year of data. The Forecast Evaluation examines the accuracy of AEO forecasts dating back to AEO82 by calculating the average absolute forecast errors for each of the major variables for AEO82 through AEO2003. The average absolute forecast error, which for the purpose of this report will also be referred to simply as "average error" or "forecast error", is computed as the simple mean, or average, of all the absolute values of the percent errors, expressed as the percentage difference between the Reference Case projection and actual historic value, shown for every AEO and for each year in the forecast horizon (for a given variable). The historical data are typically taken from the Annual Energy Review (AER). The last column of Table 1 provides a summary of the most recent average absolute forecast errors. The calculation of the forecast error is shown in more detail in Tables 2 through 18. Because data for coal prices to electric generating plants were not available from the AER, data from the Monthly Energy Review (MER), July 2003 were used.

31

Energy demand forecasting: industry practices and challenges  

Science Journals Connector (OSTI)

Accurate forecasting of energy demand plays a key role for utility companies, network operators, producers and suppliers of energy. Demand forecasts are utilized for unit commitment, market bidding, network operation and maintenance, integration of renewable ... Keywords: analytics, energy demand forecasting, machine learning, renewable energy sources, smart grids, smart meters

Mathieu Sinn

2014-06-01T23:59:59.000Z

32

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Annual Energy Outlook Forecast Evaluation Annual Energy Outlook Forecast Evaluation by Susan H. Holte In this paper, the Office of Integrated Analysis and Forecasting (OIAF) of the Energy Information Administration (EIA) evaluates the projections published in the Annual Energy Outlook (AEO), (1) by comparing the projections from the Annual Energy Outlook 1982 through the Annual Energy Outlook 2001 with actual historical values. A set of major consumption, production, net import, price, economic, and carbon dioxide emissions variables are included in the evaluation, updating similar papers from previous years. These evaluations also present the reasons and rationales for significant differences. The Office of Integrated Analysis and Forecasting has been providing an

33

William Delp  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Portrait of Woody Delp Portrait of Woody Delp William Delp Indoor Environment Group Lawrence Berkeley National Laboratory 1 Cyclotron Road MS 90-3058 Berkeley CA 94720 Office Location: 90-3030 (510) 486-5864 WWDelp@lbl.gov Woody Delp received a Ph.D. in mechanical engineering from the University of Missouri Rolla in 1995. His graduate work involved modeling how much ventilation (outside air) comes into variable air volume (VAV) systems as they operate across a range of climates and seasons. Woody grew up in Rolla working in a family-owned HVAC contracting business. In his dad's business he worked in every capacity, from service calls at a young age, to designing and installing complex systems for local laboratories. HVAC is very much in his blood. Woody has been at LBNL since 1995 and has worked in various project areas

34

Observational Analysis of the Predictability of Mesoscale Convective Systems ISRAEL L. JIRAK AND WILLIAM R. COTTON  

E-Print Network [OSTI]

AND WILLIAM R. COTTON Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado merge into a large, long-lived organized convective system (Cotton and Anthes 1989). Thus, forecasting

35

Alice C. Williams | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Alice C. Williams Alice C. Williams About Us Alice C. Williams - Associate Principal Deputy Assistant Secretary for Environmental Management Alice C. Williams Alice is currently the Associate Principal Deputy Assistant Secretary for the U.S. Department of Energy (DOE) Office of Environmental Management (EM). She is responsible for providing oversight of the EM Mission Units and ensuring integration across the mission areas at both DOE Headquarters and the field. Prior to her current position, Alice Williams served as the Livermore Site Manager for the National Nuclear Security Administration. In this capacity, she was responsible for the operations, oversight, and contract administration of the Lawrence Livermore National Laboratory. With a Federal staff of approximately 100 positions, she performed Federal

36

Advanced Numerical Weather Prediction Techniques for Solar Irradiance Forecasting : : Statistical, Data-Assimilation, and Ensemble Forecasting  

E-Print Network [OSTI]

J.B. , 2004: Probabilistic wind power forecasts using localforecast intervals for wind power output using NWP-predictedsources such as wind and solar power. Integration of this

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

37

William Hoff Associate Professor Phone: 303-273-3761  

E-Print Network [OSTI]

, "Forecasting Building Occupancy Using Sensor Network Data," Proc. of 2nd International Workshop on Big Data1 William Hoff Associate Professor Phone: 303-273-3761 Dept of Electrical Engineering & Computer in digital electronics and microcontrollers, focusing on data acquisition and control systems. Developed

38

Operational Rainfall and Flow Forecasting for the Panama Canal Watershed  

Science Journals Connector (OSTI)

An integrated hydrometeorological system was designed for the utilization of data from various sensors in the 3300 km2 Panama Canal Watershed for the purpose of producing ... forecasts. These forecasts are used b...

Konstantine P. Georgakakos; Jason A. Sperfslage

2005-01-01T23:59:59.000Z

39

Forecast Prices  

Gasoline and Diesel Fuel Update (EIA)

Notes: Notes: Prices have already recovered from the spike, but are expected to remain elevated over year-ago levels because of the higher crude oil prices. There is a lot of uncertainty in the market as to where crude oil prices will be next winter, but our current forecast has them declining about $2.50 per barrel (6 cents per gallon) from today's levels by next October. U.S. average residential heating oil prices peaked at almost $1.50 as a result of the problems in the Northeast this past winter. The current forecast has them peaking at $1.08 next winter, but we will be revisiting the outlook in more detail next fall and presenting our findings at the annual Winter Fuels Conference. Similarly, diesel prices are also expected to fall. The current outlook projects retail diesel prices dropping about 14 cents per gallon

40

Amending Numerical Weather Prediction forecasts using GPS  

E-Print Network [OSTI]

. Satellite images and Numerical Weather Prediction (NWP) models are used together with the synoptic surfaceAmending Numerical Weather Prediction forecasts using GPS Integrated Water Vapour: a case study to validate the amounts of humidity in Numerical Weather Prediction (NWP) model forecasts. This paper presents

Stoffelen, Ad

Note: This page contains sample records for the topic "forecast integration william" 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

Forecasting wave height probabilities with numerical weather prediction models  

E-Print Network [OSTI]

Forecasting wave height probabilities with numerical weather prediction models Mark S. Roulstona; Numerical weather prediction 1. Introduction Wave forecasting is now an integral part of operational weather methods for generating such forecasts from numerical model output from the European Centre for Medium

Stevenson, Paul

42

AUTOMATION OF ENERGY DEMAND FORECASTING Sanzad Siddique, B.S.  

E-Print Network [OSTI]

AUTOMATION OF ENERGY DEMAND FORECASTING by Sanzad Siddique, B.S. A Thesis submitted to the Faculty OF ENERGY DEMAND FORECASTING Sanzad Siddique, B.S. Marquette University, 2013 Automation of energy demand of the energy demand forecasting are achieved by integrating nonlinear transformations within the models

Povinelli, Richard J.

43

Williams, Ronald L From: Breed, William  

Broader source: Energy.gov (indexed) [DOE]

Breed, William Breed, William Sent: Thursday, February 15,2001 4:14 PM To: Anderson, Margot Cc: Terry, Tracy Subject: RE: national energy strategy Okay by me; let us know what effort is needed and appropriate. Bill -Original Message- From: Anderson, Margot Sent Thursday, February 15, 2001 4:13 PM To: Breed, William Cc Terry, Tracy Subject: RE: national energy strategy BB - Thanks for volunteering HS for the macro section and Fred for micro. John fingered Tracy for both. Tracy is working AS WE WRITE on the macro part - we got EIA's input and she is reviewing and adding her two cents. I am going to let TT make the call. If she has time for Hilary to review and add (by the end of the day), fine, otherwise, given the short timeframe, Hilary can get in on the next round. Margot --

44

Wind Speed Forecasting for Power System Operation  

E-Print Network [OSTI]

In order to support large-scale integration of wind power into current electric energy system, accurate wind speed forecasting is essential, because the high variation and limited predictability of wind pose profound challenges to the power system...

Zhu, Xinxin

2013-07-22T23:59:59.000Z

45

Electric Grid - Forecasting system licensed | ornl.gov  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Electric Grid - Forecasting system licensed Location Based Technologies has signed an agreement to integrate and market an Oak Ridge National Laboratory technology that provides...

46

Sandia National Laboratories: Transmission Grid Integration  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

output profiles and forecasts to support solar integration studies. Tagged with: Energy * Grid Integration * photovoltaic * Photovoltaics * PV * Renewable Energy *...

47

Uncertainty Reduction in Power Generation Forecast Using Coupled Wavelet-ARIMA  

SciTech Connect (OSTI)

In this paper, we introduce a new approach without implying normal distributions and stationarity of power generation forecast errors. In addition, it is desired to more accurately quantify the forecast uncertainty by reducing prediction intervals of forecasts. We use automatically coupled wavelet transform and autoregressive integrated moving-average (ARIMA) forecasting to reflect multi-scale variability of forecast errors. The proposed analysis reveals slow-changing “quasi-deterministic” components of forecast errors. This helps improve forecasts produced by other means, e.g., using weather-based models, and reduce forecast errors prediction intervals.

Hou, Zhangshuan; Etingov, Pavel V.; Makarov, Yuri V.; Samaan, Nader A.

2014-10-27T23:59:59.000Z

48

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

by by Esmeralda Sanchez The Office of Integrated Analysis and Forecasting has been providing an evaluation of the forecasts in the Annual Energy Outlook (AEO) annually since 1996. Each year, the forecast evaluation expands on that of the prior year by adding the most recent AEO and the most recent historical year of data. However, the underlying reasons for deviations between the projections and realized history tend to be the same from one evaluation to the next. The most significant conclusions are: * Over the last two decades, there have been many significant changes in laws, policies, and regulations that could not have been anticipated and were not assumed in the projections prior to their implementation. Many of these actions have had significant impacts on energy supply, demand, and prices; however, the

49

Forecastability as a Design Criterion in Wind Resource Assessment: Preprint  

SciTech Connect (OSTI)

This paper proposes a methodology to include the wind power forecasting ability, or 'forecastability,' of a site as a design criterion in wind resource assessment and wind power plant design stages. The Unrestricted Wind Farm Layout Optimization (UWFLO) methodology is adopted to maximize the capacity factor of a wind power plant. The 1-hour-ahead persistence wind power forecasting method is used to characterize the forecastability of a potential wind power plant, thereby partially quantifying the integration cost. A trade-off between the maximum capacity factor and the forecastability is investigated.

Zhang, J.; Hodge, B. M.

2014-04-01T23:59:59.000Z

50

Extreme wave events during hurricanes can seriously jeopardize the integrity and safety of offshore oil and gas operations in the Gulf of Mexico. Validation of wave forecast for  

E-Print Network [OSTI]

oil and gas operations in the Gulf of Mexico. Validation of wave forecast for significant wave heights of Mexico. Before the storm, it produced 148,000 barrels of oil equivalent per day and 160 million cubic over the warm Gulf of Mexico water between 26 and 28 August, and became a category 5 hurricane by 1200

51

Weather Research and Forecasting Model 2.2 Documentation  

E-Print Network [OSTI]

................................................................................................. 20 3.1.2 Integrate's Flow of ControlWeather Research and Forecasting Model 2.2 Documentation: A Step-by-step guide of a Model Run .......................................................................................................................... 19 3.1 The Integrate Subroutine

Sadjadi, S. Masoud

52

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Evaluation Evaluation Annual Energy Outlook Forecast Evaluation by Esmeralda Sanchez The Office of Integrated Analysis and Forecasting has been providing an evaluation of the forecasts in the Annual Energy Outlook (AEO) annually since 1996. Each year, the forecast evaluation expands on that of the prior year by adding the most recent AEO and the most recent historical year of data. However, the underlying reasons for deviations between the projections and realized history tend to be the same from one evaluation to the next. The most significant conclusions are: Over the last two decades, there have been many significant changes in laws, policies, and regulations that could not have been anticipated and were not assumed in the projections prior to their implementation. Many of these actions have had significant impacts on energy supply, demand, and prices; however, the impacts were not incorporated in the AEO projections until their enactment or effective dates in accordance with EIA's requirement to remain policy neutral and include only current laws and regulations in the AEO reference case projections.

53

Jim Williams Dean of Libraries  

E-Print Network [OSTI]

Jim Williams Dean of Libraries Vacant (Jim Williams) Associate Dean Circulation Scholarly Resource Administrative Operations #12;Jim Williams Dean of Libraries Leslie Reynolds Senior Associate Dean Brice Austin Coordinator Brittany Reed Members Emily Fidelman Jennie Gerke Jeff Greene Erika Kleinova Mark Mabbett Jennifer

Mojzsis, Stephen J.

54

Solid waste integrated forecast technical (SWEFT) report: FY1997 to FY 2070 - Document number changed to HNF-0918 at revision 1 - 1/7/97  

SciTech Connect (OSTI)

This web site provides an up-to-date report on the radioactive solid waste expected to be managed at Hanford`s Solid Waste (SW) Program from onsite and offsite generators. It includes: an overview of Hanford-wide solid waste to be managed by the SW Program; program- level and waste class-specific estimates; background information on waste sources; and Li comparisons with previous forecasts and with other national data sources. The focus of this web site is on low- level mixed waste (LLMW), and transuranic waste (both non-mixed and mixed) (TRU(M)). Some details on low-level waste and hazardous waste are also provided. Currently, this site is reporting data current as of 9/96. The data represent a life cycle forecast covering all reported activities from FY97 through the end of each program`s life cycle.

Valero, O.J.

1996-10-03T23:59:59.000Z

55

Annual Energy Outlook Forecast Evaluation 2004  

Gasoline and Diesel Fuel Update (EIA)

2004 2004 * The Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) has produced annual evaluations of the accuracy of the Annual Energy Outlook (AEO) since 1996. Each year, the forecast evaluation expands on the prior year by adding the projections from the most recent AEO and replacing the historical year of data with the most recent. The forecast evaluation examines the accuracy of AEO forecasts dating back to AEO82 by calculating the average absolute percent errors for several of the major variables for AEO82 through AEO2004. (There is no report titled Annual Energy Outlook 1988 due to a change in the naming convention of the AEOs.) The average absolute percent error is the simple mean of the absolute values of the percentage difference between the Reference Case projection and the

56

energy data + forecasting | OpenEI Community  

Open Energy Info (EERE)

energy data + forecasting energy data + forecasting Home FRED Description: Free Energy Database Tool on OpenEI This is an open source platform for assisting energy decision makers and policy makers in formulating policies and energy plans based on easy to use forecasting tools, visualizations, sankey diagrams, and open data. The platform will live on OpenEI and this community was established to initiate discussion around continuous development of this tool, integrating it with new datasets, and connecting with the community of users who will want to contribute data to the tool and use the tool for planning purposes. Links: FRED beta demo energy data + forecasting Syndicate content 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2084382122

57

Ramp Forecasting Performance from Improved Short-Term Wind Power Forecasting: Preprint  

SciTech Connect (OSTI)

The variable and uncertain nature of wind generation presents a new concern to power system operators. One of the biggest concerns associated with integrating a large amount of wind power into the grid is the ability to handle large ramps in wind power output. Large ramps can significantly influence system economics and reliability, on which power system operators place primary emphasis. The Wind Forecasting Improvement Project (WFIP) was performed to improve wind power forecasts and determine the value of these improvements to grid operators. This paper evaluates the performance of improved short-term wind power ramp forecasting. The study is performed for the Electric Reliability Council of Texas (ERCOT) by comparing the experimental WFIP forecast to the current short-term wind power forecast (STWPF). Four types of significant wind power ramps are employed in the study; these are based on the power change magnitude, direction, and duration. The swinging door algorithm is adopted to extract ramp events from actual and forecasted wind power time series. The results show that the experimental short-term wind power forecasts improve the accuracy of the wind power ramp forecasting, especially during the summer.

Zhang, J.; Florita, A.; Hodge, B. M.; Freedman, J.

2014-05-01T23:59:59.000Z

58

Forecasting wireless communication technologies  

Science Journals Connector (OSTI)

The purpose of the paper is to present a formal comparison of a variety of multiple regression models in technology forecasting for wireless communication. We compare results obtained from multiple regression models to determine whether they provide a superior fitting and forecasting performance. Both techniques predict the year of wireless communication technology introduction from the first (1G) to fourth (4G) generations. This paper intends to identify the key parameters impacting the growth of wireless communications. The comparison of technology forecasting approaches benefits future researchers and practitioners when developing a prediction of future wireless communication technologies. The items of focus will be to understand the relationship between variable selection and model fit. Because the forecasting error was successfully reduced from previous approaches, the quadratic regression methodology is applied to the forecasting of future technology commercialisation. In this study, the data will show that the quadratic regression forecasting technique provides a better fit to the curve.

Sabrina Patino; Jisun Kim; Tugrul U. Daim

2010-01-01T23:59:59.000Z

59

Williams, Ronald LM  

Broader source: Energy.gov (indexed) [DOE]

LM LM - "- Williams, Ronald L From: Braitsch, Jay Sent: Thursday, March 22, 2001 6:21 PM To: Anderson, Margot Cc: Kripowicz, Robert; DeHoratiis, Guido; Johnson. Nancy; Melchert, Elena; Rudins, George; Carter, Douglas; Juckett, Donald Subject: NEP Chapter 8 - Supply Importance: High Margo - I'll be out until next Tuesday but the above people can respond to whatever. ch 8 march 22.doc 21008 DOE021-1461 Williams, Ronald L From: Melchert, Elena Sent: Friday, March 23, 2001 8:09 AM To: Anderson, Margot Cc: DeHoratiis, Guido Subject: RE: NEP Chapter 8 - Supply Yes we can get some graphics this morning. Elena -- Orginal Message- From: Anderson, Margot Sent: Friday, March 23, 2001 8:08 AM To: Braitsch, Jay Cc Krlpowlcz, Robert; DeHoratis, Guido; Johnson, Nancy; Melchert, Eena; Rudins, George; Carter, Douglas; Judcett, Donald

60

Solar forecasting review  

E-Print Network [OSTI]

2.1.2 European Solar Radiation Atlas (ESRA)2.4 Evaluation of Solar Forecasting . . . . . . . . .2.4.1 Solar Variability . . . . . . . . . . . . .

Inman, Richard Headen

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast integration william" 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

Energy Demand Forecasting  

Science Journals Connector (OSTI)

This chapter presents alternative approaches used in forecasting energy demand and discusses their pros and cons. It... Chaps. 3 and 4 ...

S. C. Bhattacharyya

2011-01-01T23:59:59.000Z

62

Short term forecasting of solar radiation based on satellite data  

E-Print Network [OSTI]

Short term forecasting of solar radiation based on satellite data Elke Lorenz, Annette Hammer University, D-26111 Oldenburg Forecasting of solar irradiance will become a major issue in the future integration of solar energy resources into existing energy supply structures. Fluctuations of solar irradiance

Heinemann, Detlev

63

Improving Inventory Control Using Forecasting  

E-Print Network [OSTI]

This project studied and analyzed Electronic Controls, Inc.’s forecasting process for three high-demand products. In addition, alternative forecasting methods were developed to compare to the current forecast method. The ...

Balandran, Juan

2005-12-16T23:59:59.000Z

64

Today's Forecast: Improved Wind Predictions | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Today's Forecast: Improved Wind Predictions Today's Forecast: Improved Wind Predictions Today's Forecast: Improved Wind Predictions July 20, 2011 - 6:30pm Addthis Stan Calvert Wind Systems Integration Team Lead, Wind & Water Power Program What does this project do? It will increase the accuracy of weather forecast models for predicting substantial changes in winds at heights important for wind energy up to six hours in advance, allowing grid operators to predict expected wind power production. Accurate weather forecasts are critical for making energy sources -- including wind and solar -- dependable and predictable. These forecasts also play an important role in reducing the cost of renewable energy by allowing electricity grid operators to make timely decisions on what reserve generation they need to operate their systems.

65

Today's Forecast: Improved Wind Predictions | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Today's Forecast: Improved Wind Predictions Today's Forecast: Improved Wind Predictions Today's Forecast: Improved Wind Predictions July 20, 2011 - 6:30pm Addthis Stan Calvert Wind Systems Integration Team Lead, Wind & Water Power Program What does this project do? It will increase the accuracy of weather forecast models for predicting substantial changes in winds at heights important for wind energy up to six hours in advance, allowing grid operators to predict expected wind power production. Accurate weather forecasts are critical for making energy sources -- including wind and solar -- dependable and predictable. These forecasts also play an important role in reducing the cost of renewable energy by allowing electricity grid operators to make timely decisions on what reserve generation they need to operate their systems.

66

Next Generation Short-Term Forecasting of Wind Power Overview of the ANEMOS Project.  

E-Print Network [OSTI]

1 Next Generation Short-Term Forecasting of Wind Power ­ Overview of the ANEMOS Project. G outperform current state-of-the-art methods, for onshore and offshore wind power forecasting. Advanced forecasts for the power system management and market integration of wind power. Keywords: Wind power, short

Boyer, Edmond

67

Technology Forecasting Scenario Development  

E-Print Network [OSTI]

Technology Forecasting and Scenario Development Newsletter No. 2 October 1998 Systems Analysis was initiated on the establishment of a new research programme entitled Technology Forecasting and Scenario and commercial applica- tion of new technology. An international Scientific Advisory Panel has been set up

68

CAPP 2010 Forecast.indd  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Forecast, Markets & Pipelines 1 Crude Oil Forecast, Markets & Pipelines June 2010 2 CANADIAN ASSOCIATION OF PETROLEUM PRODUCERS Disclaimer: This publication was prepared by the...

69

DEVELOPMENT OF A NATURAL GAS TO HYDROGEN FUEL STATION William E. Liss  

E-Print Network [OSTI]

DEVELOPMENT OF A NATURAL GAS TO HYDROGEN FUEL STATION William E. Liss P: 847-768-0753; E: william hurdles facing on-board liquid fuel reforming. This program leverages efforts to develop natural gas for compressed natural gas vehicles. The integrated natural gas-to-hydrogen system includes a high efficiency

70

INDIANA UNIVERSITY William Sherman Senior Technology Advisor...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

INDIANA UNIVERSITY William Sherman Senior Technology Advisor, Indiana University William Sherman is a senior technical advisor at Indiana University. He is the scientific...

71

COGNITIVE SCIENCE William J. Rapaport  

E-Print Network [OSTI]

COGNITIVE SCIENCE William J. Rapaport Department of Computer Science, Department of Philosophy, and Center for Cognitive Science State University of New York at Buffalo, Buffalo, NY 14260 rapaport and updated version of Rapaport, William J. (1993), ``Cognitive Science'', in Anthony Ralston & Edwin D

Rapaport, William J.

72

William Brinkman | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

William Brinkman William Brinkman About Us Dr. William Brinkman - Director of the Office of Science Photo of Dr. William F. Brinkman Dr. William F. Brinkman was confirmed by the Senate on June 19, 2009 and sworn in on June 30, 2009 as the Director of the Office of Science in the U.S. Department of Energy. He joins the Office of Science at a crucial point in the Nation's history as the country strives toward energy security - a key mission area of the Department of Energy. Dr. Brinkman said during his confirmation hearing that he looked forward to working "tirelessly to advance the revolution in energy technologies, to understand nuclear technologies and to continue basic research in the 21st century." Dr. Brinkman brings decades of experience in managing scientific research

73

William Perry | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

William Perry William Perry About Us William Perry - Former Secretary of Defense, Stanford University Professor Photo of William Perry William Perry is the Michael and Barbara Berberian Professor (emeritus) at Stanford University. He is a senior fellow at FSI and serves as co-director of the Nuclear Risk Reduction initiative and the Preventive Defense Project. He is an expert in U.S. foreign policy, national security and arms control. He was the co-director of CISAC from 1988 to 1993, during which time he was also a professor (half time) at Stanford. He was a part-time lecturer in the Department of Mathematics at Santa Clara University from 1971 to 1977. Perry was the 19th Secretary of Defense for the United States, serving from February 1994 to January 1997. He previously served as Deputy Secretary of

74

Analysis of the energy and environmental effects of green car deployment by an integrating energy system model with a forecasting model  

Science Journals Connector (OSTI)

By 2020, Korea has set itself the challenging target of reducing nationwide greenhouse gas emissions by 30%, more than the BAU (Business as Usual) scenario, as the implementation goal required to achieve the new national development paradigm of green growth. To achieve such a target, it is necessary to diffuse innovative technologies with the capacity to drastically reduce greenhouse gas emissions. To that end, the ripple effect of diffusing innovative technologies on the energy and environment must be quantitatively analyzed using an energy system analysis model such as the MARKAL (Market Allocation) model. However, energy system analysis models based on an optimization methodology have certain limitations in that a technology with superior cost competitiveness dominates the whole market and non-cost factors cannot be considered. Therefore, this study proposes a new methodology for overcoming problems associated with the use of MARKAL models, by interfacing with a forecasting model based on the discrete-choice model. The new methodology was applied to green car technology to verify its usefulness and to study the ripple effects of green car technology on greenhouse gas reduction. The results of this study can be used as a reference when establishing a strategy for effectively reducing greenhouse gas emissions in the transportation sector, and could be of assistance to future studies using the energy system analysis model.

Duk Hee Lee; Sang Yong Park; Jong Chul Hong; Sang Jin Choi; Jong Wook Kim

2013-01-01T23:59:59.000Z

75

Valuing Climate Forecast Information  

Science Journals Connector (OSTI)

The article describes research opportunities associated with evaluating the characteristics of climate forecasts in settings where sequential decisions are made. Illustrative results are provided for corn production in east central Illinois. ...

Steven T. Sonka; James W. Mjelde; Peter J. Lamb; Steven E. Hollinger; Bruce L. Dixon

1987-09-01T23:59:59.000Z

76

Comparing Forecast Skill  

Science Journals Connector (OSTI)

A basic question in forecasting is whether one prediction system is more skillful than another. Some commonly used statistical significance tests cannot answer this question correctly if the skills are computed on a common period or using a common ...

Timothy DelSole; Michael K. Tippett

2014-12-01T23:59:59.000Z

77

Mr. William Steuteville  

Office of Legacy Management (LM)

45 45 DEC 18 13% Mr. William Steuteville 3 HW 33 EPA Region III 841 Chestnut Street Philadelphia, Pennsylvania 19107 Dear Mr. Steuteville: I am enclosing for your information a copy of the radiological survey report for the former Aeroprojects Facility in West Chester, Pennsylvania. The survey was performed for the U.S. Department of Energy (DOE) by Oak Ridge National Laboratory. Only background levels of radioactivity were found during the course of the survey. A copy of the survey has been furnished to the owners of the property, Philadelphia Ventures. A copy of the transmittal letter is enclosed. There have been allegations of burial of small quantities of uranium at this site. It appears that the amount of uranium involved is well below the 100 pound reportable quantity (RQ) set

78

William J. Clinton, 2000  

Broader source: Energy.gov (indexed) [DOE]

1 1 Administration of William J. Clinton, 2000 / Apr. 22 have the vehicles they want with the effi- ciency they deserve. More than 100 years ago, the great Amer- ican poet Henry Wadsworth Longfellow re- minded us that ''nature is a revelation of God.'' This Earth Day, let us remember that we are only stewards, in our time, of the Earth God gave us for all time. And let us strengthen our resolve to preserve the beauty and the natural bounty that sustains us and must sustain generations yet to come. Happy holidays, and thanks for listening. NOTE: The address was recorded at 5:12 p.m. on April 21 in the East Room at the White House for broadcast at 10:06 a.m. on April 22. The tran- script was made available by the Office of the Press Secretary on April 21 but was embargoed

79

William J. Clinton, 2000  

Broader source: Energy.gov (indexed) [DOE]

6 6 Nov. 6 / Administration of William J. Clinton, 2000 Statement on Signing the Executive Order on Consultation and Coordination With Indian Tribal Governments November 6, 2000 Today I am pleased to sign a revised Exec- utive order on consultation with Indian tribal governments. This Executive order, itself based on consultation, will renew my admin- istration's commitment to tribal sovereignty and our government-to-government relation- ship. The first Americans hold a unique place in our history. Long before others came to our shores, the first Americans had estab- lished self-governing societies. Among their societies, democracy flourished long before the founding of our Nation. Our Nation en- tered into treaties with Indian nations, which acknowledged their right to self-government

80

William J. Clinton, 1995  

Broader source: Energy.gov (indexed) [DOE]

Administration of William J. Clinton, 1995 / Aug. 8 for an egg would you give him a scorpion? Today we must ask, if our child asked about the future, will we give him or her dirty air, poison water; would we keep them from knowing what chemicals are being released into their neighborhoods and keep their par- ents from protecting them? We all know what the answer is. It's no. It seems simple here in this wonderful neighborhood. Why don't you help us make it simple in Washington, DC? Thank you very much. NOTE: The President spoke at 1:10 p.m. at Fort Armistead Park. In his remarks, he referred to Doris McGuigan, environmental activist in the Brooklyn-Curtis Bay community of Baltimore, and Thomas V. ''Mike'' Miller, Jr., president of the Maryland Senate. Executive Order 12969-Federal

Note: This page contains sample records for the topic "forecast integration william" 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

William J. Clinton, 1998  

Broader source: Energy.gov (indexed) [DOE]

9 9 Administration of William J. Clinton, 1998 / June 11 somehow going there would absolve the Chi- nese Government of its responsibility for the terrible killings at Tiananmen Square 9 years ago, or indicate that America is no longer concerned about such conduct. They are wrong. Protocol and honoring a nation's tradi- tional practices should not be confused with principle. China's leaders, as I have repeat- edly said, can only move beyond the events of June, 1989, when they recognize the re- ality that what the Government did was wrong. Sooner or later they must do that. And perhaps even more important, they must change course on this fundamentally impor- tant issue. In my meetings with President Jiang and other Chinese leaders and in my discussions with the Chinese people, I will press ahead

82

William J. Clinton, 2000  

Broader source: Energy.gov (indexed) [DOE]

May 26 / Administration of William J. Clinton, 2000 We intend to establish ecological reserves in the most fragile areas to keep them off- limits to fishing, drilling, and other damaging uses. I'm also directing the EPA to strength- en water quality standards all along our coasts and provide stronger protections for the most vulnerable ocean waters, to reduce pollution of beaches, coasts, and oceans. Second, I'm announcing today our com- mitment to permanently protect coral reefs of the northwest Hawaiian Islands. If you've ever been there, you know why we should. These eight islands are not, all of them, so well-known, but they stretch over 1,200 miles. They shelter more than 60 percent of America's coral reefs. They're home to plants and animals found nowhere else on Earth

83

NREL: Energy Sciences - William Tumas  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Chemical & Nanoscale Science Theoretical Materials Science Materials Science Hydrogen Technology & Fuel Cells Process Technology & Advanced Concepts Research Staff Computational Science Printable Version William Tumas Associate Laboratory Director, Materials and Chemical Science and Technology Photo of William Tumas Phone: (303) 384-7955 Email: Bill.Tumas@nrel.gov At NREL Since: 2009 Dr. William Tumas is the Associate Laboratory Director for Materials and Chemical Science and Technology, National Renewable Energy Laboratory (NREL). He is responsible for overall leadership, management, technical direction, and workforce development of the materials and chemical science and technology capabilities at NREL spanning fundamental and applied R&D for renewable energy and energy efficiency. Key program areas include solar

84

Operational forecasting based on a modified Weather Research and Forecasting model  

SciTech Connect (OSTI)

Accurate short-term forecasts of wind resources are required for efficient wind farm operation and ultimately for the integration of large amounts of wind-generated power into electrical grids. Siemens Energy Inc. and Lawrence Livermore National Laboratory, with the University of Colorado at Boulder, are collaborating on the design of an operational forecasting system for large wind farms. The basis of the system is the numerical weather prediction tool, the Weather Research and Forecasting (WRF) model; large-eddy simulations and data assimilation approaches are used to refine and tailor the forecasting system. Representation of the atmospheric boundary layer is modified, based on high-resolution large-eddy simulations of the atmospheric boundary. These large-eddy simulations incorporate wake effects from upwind turbines on downwind turbines as well as represent complex atmospheric variability due to complex terrain and surface features as well as atmospheric stability. Real-time hub-height wind speed and other meteorological data streams from existing wind farms are incorporated into the modeling system to enable uncertainty quantification through probabilistic forecasts. A companion investigation has identified optimal boundary-layer physics options for low-level forecasts in complex terrain, toward employing decadal WRF simulations to anticipate large-scale changes in wind resource availability due to global climate change.

Lundquist, J; Glascoe, L; Obrecht, J

2010-03-18T23:59:59.000Z

85

William Bryan | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

William Bryan William Bryan About Us William Bryan - Deputy Assistant Secretary of Infrastructure Security and Energy Restoration William Bryan Mr. Bryan is the Deputy Assistant Secretary for Infrastructure Security and Energy Restoration in the U.S. Department of Energy's (DOE) Office of Electricity Delivery and Energy Reliability (OE). The office of Infrastructure Security and Energy Restoration (ISER) works with the National Security Staff, other U.S. government agencies, and international partners to enhance the security and resiliency of critical energy infrastructure and facilitate the reconstruction and recovery of damaged or disrupted energy systems. As a career Senior Executive, Mr. Bryan oversees the collection, analysis, and dissemination of vital information to all involved in energy response

86

EA-208 Williams Energy Marketing and Trading Company | Department...  

Broader source: Energy.gov (indexed) [DOE]

8 Williams Energy Marketing and Trading Company EA-208 Williams Energy Marketing and Trading Company Order authorizing Williams Energy Marketing and Trading Company to export...

87

Federal Energy and Water Management Award Winners William Kuster...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Winners William Kuster, John McDuffie, Dennis Svalstad, William Turnbull and Steven White Federal Energy and Water Management Award Winners William Kuster, John McDuffie, Dennis...

88

Sandia National Laboratories: solar forecasting  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Energy, Modeling & Analysis, News, News & Events, Partnership, Photovoltaic, Renewable Energy, Solar, Systems Analysis The book, Solar Energy Forecasting and Resource...

89

Consensus Coal Production Forecast for  

E-Print Network [OSTI]

Rate Forecasts 19 5. EIA Forecast: Regional Coal Production 22 6. Wood Mackenzie Forecast: W.V. Steam to data currently published by the Energy Information Administration (EIA), coal production in the state in this report calls for state production to decline by 11.3 percent in 2009 to 140.2 million tons. During

Mohaghegh, Shahab

90

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Table 2. Total Energy Consumption, Actual vs. Forecasts Table 3. Total Petroleum Consumption, Actual vs. Forecasts Table 4. Total Natural Gas Consumption, Actual vs. Forecasts Table 5. Total Coal Consumption, Actual vs. Forecasts Table 6. Total Electricity Sales, Actual vs. Forecasts Table 7. Crude Oil Production, Actual vs. Forecasts Table 8. Natural Gas Production, Actual vs. Forecasts Table 9. Coal Production, Actual vs. Forecasts Table 10. Net Petroleum Imports, Actual vs. Forecasts Table 11. Net Natural Gas Imports, Actual vs. Forecasts Table 12. Net Coal Exports, Actual vs. Forecasts Table 13. World Oil Prices, Actual vs. Forecasts Table 14. Natural Gas Wellhead Prices, Actual vs. Forecasts Table 15. Coal Prices to Electric Utilities, Actual vs. Forecasts

91

On Sequential Probability Forecasting  

E-Print Network [OSTI]

at the same time. [Probability, Statistics and Truth, MacMillan 1957. page 11] ... the collective "denotes a collective wherein the attribute of the single event is the number of points thrown. [Probability, StatisticsOn Sequential Probability Forecasting David A. Bessler 1 David A. Bessler Texas A&M University

McCarl, Bruce A.

92

In Memoriam: Professor William Arthur Kelly  

E-Print Network [OSTI]

In Memoriam: Professor William Arthur Kelly Editor's Note: Professor William Arthur Kelly, 84, died July 12, 2006. His longtime colleague and friend Professor Robert Casad gra ciously agreed to pen this tribute. Our colleague and friend Bill Kelly...

Casad, Robert C.

2007-05-01T23:59:59.000Z

93

WILLIAM J. MAYEW email: william.mayew@duke.edu  

E-Print Network [OSTI]

: Financial Accounting Supporting Field: Financial Economics and Applied Statistics The University of North Interests Financial accounting, corporate financial reporting #12;William J. Mayew Vita Page 2 of 10 May Conference Calls to Identify Analysts with Superior Private Information" Review of Accounting Studies, 18 (2

Reif, John H.

94

William R. Wiley Environmental Molecular Sciences Laboratory (EMSL) | U.S.  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

William R. Wiley Environmental William R. Wiley Environmental Molecular Sciences Laboratory (EMSL) Biological and Environmental Research (BER) BER Home About Research Research Abstracts Searchable Archive of BER Highlights External link Biological Systems Science Division (BSSD) Climate and Environmental Sciences Division (CESD) ARM Climate Research Facility Atmospheric System Research (ASR) Program Data Management Earth System Modeling (ESM) Program William R. Wiley Environmental Molecular Sciences Laboratory (EMSL) Integrated Assessment of Global Climate Change Regional & Global Climate Modeling (RGCM) Program Subsurface Biogeochemical Research Terrestrial Carbon Sequestration External link Terrestrial Ecosystem Science Facilities Science Highlights Benefits of BER Funding Opportunities Biological & Environmental Research Advisory Committee (BERAC)

95

Profile of William A. Eaton  

Science Journals Connector (OSTI)

...best seat in the main opera house on Unter den Linden for...than a dollar. I saw 35 operas that year.” William...biosynthesis in the laboratory of Sydney Brenner, one of the founders...biology. “I heard Sydney give a lecture in Atlantic...

Kaspar Mossman

2009-01-01T23:59:59.000Z

96

STEPHEN SMITH William Dawson Scholar  

E-Print Network [OSTI]

STEPHEN SMITH William Dawson Scholar D E G R E E S D. Phil. (Oxford University) 1992 · LLB (Toronto S E A R C H ) tephen Smith is interested in the moral dimensions of the law, which does not merely. Professor Smith has focused much of his research on private law, and in particular the law of contract

Barthelat, Francois

97

A Bayesian approach to forecast intermittent demand for seasonal products  

Science Journals Connector (OSTI)

This paper investigates the forecasting of a large fluctuating seasonal demand prior to peak sale season using a practical time series, collected from the US Census Bureau. Due to the extreme natural events (e.g. excessive snow fall and calamities), sales may not occur, inventory may not replenish and demand may set off unrecorded during the peak sale season. This characterises a seasonal time series to an intermittent category. A seasonal autoregressive integrated moving average (SARIMA), a multiplicative exponential smoothing (M-ES) and an effective modelling approach using Bayesian computational process are analysed in the context of seasonal and intermittent forecast. Several forecast error indicators and a cost factor are used to compare the models. In cost factor analysis, cost is measured optimally using dynamic programming model under periodic review policy. Experimental results demonstrate that Bayesian model performance is much superior to SARIMA and M-ES models, and efficient to forecast seasonal and intermittent demand.

Mohammad Anwar Rahman; Bhaba R. Sarker

2012-01-01T23:59:59.000Z

98

U.S. Regional Demand Forecasts Using NEMS and GIS  

SciTech Connect (OSTI)

The National Energy Modeling System (NEMS) is a multi-sector, integrated model of the U.S. energy system put out by the Department of Energy's Energy Information Administration. NEMS is used to produce the annual 20-year forecast of U.S. energy use aggregated to the nine-region census division level. The research objective was to disaggregate this regional energy forecast to the county level for select forecast years, for use in a more detailed and accurate regional analysis of energy usage across the U.S. The process of disaggregation using a geographic information system (GIS) was researched and a model was created utilizing available population forecasts and climate zone data. The model's primary purpose was to generate an energy demand forecast with greater spatial resolution than what is currently produced by NEMS, and to produce a flexible model that can be used repeatedly as an add-on to NEMS in which detailed analysis can be executed exogenously with results fed back into the NEMS data flow. The methods developed were then applied to the study data to obtain residential and commercial electricity demand forecasts. The model was subjected to comparative and statistical testing to assess predictive accuracy. Forecasts using this model were robust and accurate in slow-growing, temperate regions such as the Midwest and Mountain regions. Interestingly, however, the model performed with less accuracy in the Pacific and Northwest regions of the country where population growth was more active. In the future more refined methods will be necessary to improve the accuracy of these forecasts. The disaggregation method was written into a flexible tool within the ArcGIS environment which enables the user to output the results in five year intervals over the period 2000-2025. In addition, the outputs of this tool were used to develop a time-series simulation showing the temporal changes in electricity forecasts in terms of absolute, per capita, and density of demand.

Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

2005-07-01T23:59:59.000Z

99

OpenEI Community - energy data + forecasting  

Open Energy Info (EERE)

FRED FRED http://en.openei.org/community/group/fred Description: Free Energy Database Tool on OpenEI This is an open source platform for assisting energy decision makers and policy makers in formulating policies and energy plans based on easy to use forecasting tools, visualizations, sankey diagrams, and open data. The platform will live on OpenEI and this community was established to initiate discussion around continuous development of this tool, integrating it with new datasets, and connecting with the community of users who will want to contribute data to the tool and use the tool for planning purposes. energy data + forecasting Fri, 22 Jun 2012 15:30:20 +0000 Dbrodt 34

100

Price forecasting for notebook computers.  

E-Print Network [OSTI]

??This paper proposes a four-step approach that uses statistical regression to forecast notebook computer prices. Notebook computer price is related to constituent features over a… (more)

Rutherford, Derek Paul

2012-01-01T23:59:59.000Z

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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

Ensemble Forecasts and their Verification  

E-Print Network [OSTI]

· Ensemble forecast verification ­ Performance metrics: Brier Score, CRPSS · New concepts and developments of weather Sources: Insufficient spatial resolution, truncation errors in the dynamical equations

Maryland at College Park, University of

102

Probabilistic manpower forecasting  

E-Print Network [OSTI]

- ing E. Results- Probabilistic Forecasting . 26 27 Z8 29 31 35 36 38 39 IV. CONCLUSIONS. V. GLOSSARY 42 44 APPENDICES REFERENCES 50 70 LIST OF TABLES Table Page Outline of Job-Probability Matrix Job-Probability Matrix. Possible... Outcomes of Job A Possible Outcomes of Jobs A and B 10 Possible Outcomes of Jobs A, B and C II LIST GF FIGURES Figure Page Binary Representation of Numbers 0 Through 7 12 First Cumulative Probability Table 14 3. Graph of Cumulative Probability vs...

Koonce, James Fitzhugh

1966-01-01T23:59:59.000Z

103

Diagnosing Forecast Errors in Tropical Cyclone Motion  

Science Journals Connector (OSTI)

This paper reports on the development of a diagnostic approach that can be used to examine the sources of numerical model forecast error that contribute to degraded tropical cyclone (TC) motion forecasts. Tropical cyclone motion forecasts depend ...

Thomas J. Galarneau Jr.; Christopher A. Davis

2013-02-01T23:59:59.000Z

104

William Heller | ORNL Neutron Sciences  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

William Heller William Heller Instrument Scientist: EQ-SANS Education B.S. in Physics and Mathematics, 1993; University of Nebraska-Lincoln; Lincoln, NE M.A. in Physics, 1996; Rice University; Houston, TX; Thesis Advisor: Prof. H. W. Huang Ph.D. in Physics, 1999; Positions Held: 1999-2002: Postdoctoral Research Associate, Bioscience Division, Los Alamos National Laboratory. Supervisor: Jill Trewhella, Ph.D. 2002-2004: Postdoctoral Research Associate, Condensed Matter Sciences Division and Center for Structural Molecular Biology, Oak Ridge National Laboratory. Supervisors: Michelle V. Buchanan, Ph.D., George D. Wignall, Ph.D., and Dean A. A. Myles, Ph.D. 2004-2008: Chemist/Biophysicist Research Associate, Chemical Sciences Division and Center for Structural Molecular Biology, Oak Ridge National

105

Project Profile: Forecasting and Influencing Technological Progress...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Forecasting and Influencing Technological Progress in Solar Energy Project Profile: Forecasting and Influencing Technological Progress in Solar Energy Logos of the University of...

106

Forecasting with adaptive extended exponential smoothing  

Science Journals Connector (OSTI)

Much of product level forecasting is based upon time series techniques. However, traditional time series forecasting techniques have offered either smoothing constant adaptability or consideration of various t...

John T. Mentzer Ph.D.

107

Electricity price forecasting in a grid environment.  

E-Print Network [OSTI]

??Accurate electricity price forecasting is critical to market participants in wholesale electricity markets. Market participants rely on price forecasts to decide their bidding strategies, allocate… (more)

Li, Guang, 1974-

2007-01-01T23:59:59.000Z

108

Energy Department Forecasts Geothermal Achievements in 2015 ...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Forecasts Geothermal Achievements in 2015 Energy Department Forecasts Geothermal Achievements in 2015 The 40th annual Stanford Geothermal Workshop in January featured speakers in...

109

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Title of Paper Annual Energy Outlook Forecast Evaluation Title of Paper Annual Energy Outlook Forecast Evaluation by Susan H. Holte OIAF has been providing an evaluation of the forecasts in the Annual Energy Outlook (AEO) annually since 1996. Each year, the forecast evaluation expands on that of the prior year by adding the most recent AEO and the most recent historical year of data. However, the underlying reasons for deviations between the projections and realized history tend to be the same from one evaluation to the next. The most significant conclusions are: Natural gas has generally been the fuel with the least accurate forecasts of consumption, production, and prices. Natural gas was the last fossil fuel to be deregulated following the strong regulation of energy markets in the 1970s and early 1980s. Even after deregulation, the behavior

110

Optimal Bidding Strategies for Wind Power Producers with Meteorological Forecasts  

E-Print Network [OSTI]

Optimal Bidding Strategies for Wind Power Producers with Meteorological Forecasts Antonio that the inherent variability in wind power generation and the related difficulty in predicting future generation profiles, raise major challenges to wind power integration into the electricity grid. In this work we study

Giannitrapani, Antonello

111

Effect of Observation Network Design on Meteorological Forecasts of Asian Dust Events  

Science Journals Connector (OSTI)

To improve the prediction of Asian dust events on the Korean Peninsula, meteorological fields must be accurately predicted because dust transport models require them as input. Accurate meteorological forecasts could be obtained by integrating ...

Eun-Gyeong Yang; Hyun Mee Kim; JinWoong Kim; Jun Kyung Kay

2014-12-01T23:59:59.000Z

112

Forecasting in Fuzzy Time Series by an Extension of Simple Exponential Smoothing  

Science Journals Connector (OSTI)

Time Series was introduced to improve the forecasting made by statistical methods in vague or imprecise data and in time series with few samples available. However, the integration of these concepts is a little e...

Fábio José Justo dos Santos…

2014-01-01T23:59:59.000Z

113

Williams Energy Services | Open Energy Information  

Open Energy Info (EERE)

Agreement Partnership Year 1999 Link to project description http:www.nrel.govnewspress1999899corn.html Williams Energy Services is a company located in Tulsa, OK....

114

Michael D Williams | Princeton Plasma Physics Lab  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

the Engineer's Engineer, sets standard for excellence As an early career engineer at the Princeton Plasma Physics Laboratory (PPPL), Mike Williams found himself in the midst of a...

115

Bicycle Generator Lightbar Indicator ----- Inventors William...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Bicycle Generator Lightbar Indicator ----- Inventors William Evans (Princeton University), Andrew Zwicker, and Shana Weber (Princeton University) This invention is a series of...

116

MagLab - Pioneers in Electricity and Magnetism: William Shockley  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

William Shockley (1910-1989) William Shockley William Bradford Shockley was head of the solid-state physics team at Bell Labs that developed the first point-contact transistor,...

117

MagLab - Pioneers in Electricity and Magnetism: William Crookes  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

William Crookes (1832-1919) William Crookes William Crookes was born in London, England, on June 17, 1832, the son of Joseph Crookes and his second wife, Mary Scott. At the age of...

118

Correcting and combining time series forecasters  

Science Journals Connector (OSTI)

Combined forecasters have been in the vanguard of stochastic time series modeling. In this way it has been usual to suppose that each single model generates a residual or prediction error like a white noise. However, mostly because of disturbances not ... Keywords: Artificial neural networks hybrid systems, Linear combination of forecasts, Maximum likelihood estimation, Time series forecasters, Unbiased forecasters

Paulo Renato A. Firmino; Paulo S. G. De Mattos Neto; Tiago A. E. Ferreira

2014-02-01T23:59:59.000Z

119

NOAA Harmful Algal Bloom Operational Forecast System Southwest Florida Forecast Region Maps  

E-Print Network [OSTI]

Bloom Operational Forecast System Southwest Florida Forecast Region Maps 0 5 102.5 Miles #12;Bay Harmful Algal Bloom Operational Forecast System Southwest Florida Forecast Region Maps 0 5 102.5 Miles #12 N Collier N Charlotte S Charlotte NOAA Harmful Algal Bloom Operational Forecast System Southwest

120

EA-158 Williams Energy Services Company | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Williams Energy Services Company to export electric energy to Canada. EA-158 Williams Energy Services Company More Documents & Publications EA-162 PP&L, Inc EA-164...

Note: This page contains sample records for the topic "forecast integration william" 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

Sherwin-Williams' Richmond, Kentucky, Facility Achieves 26% Energy...  

Broader source: Energy.gov (indexed) [DOE]

Sherwin-Williams' Richmond, Kentucky, Facility Achieves 26% Energy Intensity Reduction; Leads to Corporate Adoption of Save Energy Now LEADER Sherwin-Williams' Richmond, Kentucky,...

122

Board of Trustees E. William Barnett, Chair  

E-Print Network [OSTI]

3 Board of Trustees TRUSTEES E. William Barnett, Chair J. D. Bucky Allshouse D. Kent Anderson James A. Baker, III Teveia Rose Barnes Raymond Brochstein Albert Y. Chao James W. Crownover James A Hess Rogers William N. Sick TRUSTEES EMERITI Josephine E. Abercrombie J. Evans Attwell Harry J

Richards-Kortum, Rebecca

123

THE COLLEGE OF WILLIAM & MARY FOUNDATION  

E-Print Network [OSTI]

THE COLLEGE OF WILLIAM & MARY FOUNDATION 2008 Annual Report A CATALYST FOR Excellence. The College of William & Mary Foundation is crucial to building this vital private support. Although the Foundation's work is complex, its mission is simple. Through a combination of fundraising and investment

Zobin, Nahum

124

The Williams Parents Fund Committee thanks these  

E-Print Network [OSTI]

The Williams Parents Fund Committee thanks these generous donors to the 2010 Parents Fund, as well as the many families who gave anonymously. Pa re n t s Fu n d Do n o r s Williams #12;Bold-face entries Drs. Charles Evans & Lisa Robbins Ms. Suzanne Farver Mr. Jeff & Ms. Karen Follert Dr. Elissa G

Stoiciu, Mihai

125

Dynamic Testing of Check Valves William Rahmeyer  

E-Print Network [OSTI]

Dynamic Testing of Check Valves William Rahmeyer Professor of Civil and Environmental Engineering;1 DYNAMIC FLOW TESTING OF CHECK VALVES by William Rahmeyer, Professor of Civil and Environmental Engineering objectives of this paper are: (1) to present a test method by which check valves can be dynamically tested

Rahmeyer, William J.

126

Photovoltaic Installations at Williams College Ruth Aronoff  

E-Print Network [OSTI]

generation using solar power. Photovoltaic (PV) panel installations are a simple way for the College facilities, it is now evaluating in detail the environmental impact of these actions. In addition to making1 Photovoltaic Installations at Williams College Ruth Aronoff Williams Luce Project SUMMARY

Aalberts, Daniel P.

127

Forecast Energy | Open Energy Information  

Open Energy Info (EERE)

Forecast Energy Forecast Energy Jump to: navigation, search Name Forecast Energy Address 2320 Marinship Way, Suite 300 Place Sausalito, California Zip 94965 Sector Services Product Intelligent Monitoring and Forecasting Services Year founded 2010 Number of employees 11-50 Company Type For profit Website http://www.forecastenergy.net Coordinates 37.865647°, -122.496315° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.865647,"lon":-122.496315,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

128

Price forecasting for notebook computers  

E-Print Network [OSTI]

This paper proposes a four-step approach that uses statistical regression to forecast notebook computer prices. Notebook computer price is related to constituent features over a series of time periods, and the rates of change in the influence...

Rutherford, Derek Paul

2012-06-07T23:59:59.000Z

129

Forecasting phenology under global warming  

Science Journals Connector (OSTI)

...Forrest Forecasting phenology under global warming Ines Ibanez 1 * Richard B. Primack...and site-specific responses to global warming. We found that for most species...climate change|East Asia, global warming|growing season, hierarchical...

2010-01-01T23:59:59.000Z

130

Demand Forecasting of New Products  

E-Print Network [OSTI]

Keeping Unit or SKU) employing attribute analysis techniques. The objective of this thesis is to improve Abstract This thesis is a study into the demand forecasting of new products (also referred to as Stock

Sun, Yu

131

Melvin G. Williams, Jr. | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Melvin G. Williams, Jr. Melvin G. Williams, Jr. About Us Melvin G. Williams, Jr. - Former Associate Deputy Secretary Melvin G. Williams, Jr. Melvin G. Williams Jr., Vice Admiral, U.S. Navy (retired), served as the Associate Deputy Secretary of Energy until February 2013. As a Presidential Appointee at the U.S. Department of Energy, he served as the key leader responsible for the Department's management and operational excellence. He reported directly to the Secretary of Energy and the Deputy Secretary, and drove improvements in mission execution and assured that they were efficiently and effectively implemented throughout the Department. A nuclear trained submariner, he served in the U.S. Navy for thirty-two years as a commissioned officer and one year as an enlisted sailor. His extensive operational assignments included four Command opportunities,

132

Forecasting correlated time series with exponential smoothing models  

Science Journals Connector (OSTI)

This paper presents the Bayesian analysis of a general multivariate exponential smoothing model that allows us to forecast time series jointly, subject to correlated random disturbances. The general multivariate model, which can be formulated as a seemingly unrelated regression model, includes the previously studied homogeneous multivariate Holt-Winters’ model as a special case when all of the univariate series share a common structure. MCMC simulation techniques are required in order to approach the non-analytically tractable posterior distribution of the model parameters. The predictive distribution is then estimated using Monte Carlo integration. A Bayesian model selection criterion is introduced into the forecasting scheme for selecting the most adequate multivariate model for describing the behaviour of the time series under study. The forecasting performance of this procedure is tested using some real examples.

Ana Corberán-Vallet; José D. Bermúdez; Enriqueta Vercher

2011-01-01T23:59:59.000Z

133

An assessment of electrical load forecasting using artificial neural network  

Science Journals Connector (OSTI)

The forecasting of electricity demand has become one of the major research fields in electrical engineering. The supply industry requires forecasts with lead times, which range from the short term (a few minutes, hours, or days ahead) to the long term (up to 20 years ahead). The major priority for an electrical power utility is to provide uninterrupted power supply to its customers. Long term peak load forecasting plays an important role in electrical power systems in terms of policy planning and budget allocation. This paper presents a peak load forecasting model using artificial neural networks (ANN). The approach in the paper is based on multi-layered back-propagation feed forward neural network. For annual forecasts, there should be 10 to 12 years of historical monthly data available for each electrical system or electrical buss. A case study is performed by using the proposed method of peak load data of a state electricity board of India which maintain high quality, reliable, historical data providing the best possible results. Model's quality is directly dependent upon data integrity.

V. Shrivastava; R.B. Misra; R.C. Bansal

2012-01-01T23:59:59.000Z

134

Weather forecasting : the next generation : the potential use and implementation of ensemble forecasting  

E-Print Network [OSTI]

This thesis discusses ensemble forecasting, a promising new weather forecasting technique, from various viewpoints relating not only to its meteorological aspects but also to its user and policy aspects. Ensemble forecasting ...

Goto, Susumu

2007-01-01T23:59:59.000Z

135

Wind Forecast Improvement Project Southern Study Area Final Report...  

Office of Environmental Management (EM)

Wind Forecast Improvement Project Southern Study Area Final Report Wind Forecast Improvement Project Southern Study Area Final Report Wind Forecast Improvement Project Southern...

136

Applying Bayesian Forecasting to Predict New Customers' Heating Oil Demand.  

E-Print Network [OSTI]

??This thesis presents a new forecasting technique that estimates energy demand by applying a Bayesian approach to forecasting. We introduce our Bayesian Heating Oil Forecaster… (more)

Sakauchi, Tsuginosuke

2011-01-01T23:59:59.000Z

137

The Honorable, William S . Cohen  

Office of Legacy Management (LM)

' ' The Skcretary of Energy _ Washington. bC 20585 ' -. October 10, 1997 ' 0 -- .' . . The Honorable, William S . Cohen ' Secretary 0f' Defense Washington, D.C. 20301 .' Jhr Mr. Secretary: ,I ' . ,.. *- . : . ' . The Congress recently sent to the President for signature the Energy and Water . Development Appropriations Act, 1998. Among other provisions, this bill would ' . immediately transfer responsibility for the Formerly Utilized Sites Remedial Actron Program (FUSRAP) from the Department of Energy to the United States Army Corps of Engineers. Assuming that this transfer becomes law, but without prejudging the President' s decision, the Department of Energy will work with the Corps to ensure a prompt and smooth transition, consi&ent with the wishes of the

138

William Morrow CV May 2013  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

R. Morrow III Page 1 R. Morrow III Page 1 William R. Morrow III, P. E., Ph.D. WRMorrow@lbl.gov 510.495.2027 LAWRENCE BERKELEY NATIONAL LABORITORY Berkeley, CA Principle Scientific Engineering Associate 2010 - Present Environmental Energy Technologies Division; Energy Analysis Department Sustainable Energy Systems Group, International Energy Studies Group & the Emerging Technology Assessment Team Developing resolution to complex technical problems where analysis of situations or data requires an in-depth evaluation of various factors, and uses scientific/engineering concepts in accordance with organizational objectives to solve complex problems in creative and effective ways in the following areas: o Developing forward looking techno-economic projections and conceptual frameworks for evaluating

139

The Honorable, William S . Cohen  

Office of Legacy Management (LM)

c - c - . .' 0 -- .' . . - . . The Honorable, William S . Cohen . : Secretary ofDefense Washington, D.C. 20301 -. , 1. .' .- - I &karMr. Secretary: . ' The Congress recently sent to the President for signature the Energy and Water Development Appropriations Act, 1998. Among other provisions, this bill would immediately transfer responsibility for the Formerly Utilized Sites Remedial Action Program @USRAP) from the Department of Energy to the United States Army Corps of Engineers. Assuming that this transfer becomes law, but without prejudging the President' s decision, the Department of Energy will work with the Corps to ensure a prompt and smooth transition, consistent with the wishes of the ' Congress. . Should this provision become law, the Department of Energy'

140

The .Hoiorable William S. Cohen'  

Office of Legacy Management (LM)

Secretary of Energy' Secretary of Energy' Washington, bC 20585 October 10, 1997 ' . , :. . The .Hoiorable William S. Cohen' Secretary of' eefense Washing+, D.C. 203Oi .' Dear Mr. Se&etm: ,_ -_ . . ' ,I. ' . a- / 4 ' . \ ' . The Congr&s recently se$ tp the President for signature the' Energy and Water Development Appropriations Act, 1998. Among other provi$ions, this bill would immediately transfer responsibility forthe Formerly:U&zed Sites Remedial Action . Program (FUSRAP) from the Department of Energy to the United Strites Army Corps of Engineers.. ;Assuming that this transfer becomes law, but without prejudging the President' s decision, the Department of Energy will work with the Corps to ensure a prompt and smooth transition, consistent with the wish& of the

Note: This page contains sample records for the topic "forecast integration william" 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

Solid Waste at Williams College A Luce Foundation Report  

E-Print Network [OSTI]

's environmental sustainability. As a step toward understanding Williams College's environmental impact, I spentSolid Waste at Williams College A Luce Foundation Report Katherine S. White September 2007 Inside a Williams trash can SUMMARY Solid waste at Williams College can be separated into three general categories

Aalberts, Daniel P.

142

European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain. Forecasting of Regional Wind Generation by a Dynamic  

E-Print Network [OSTI]

European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain. Forecasting of Regional Wind forecasting. I. INTRODUCTION HE actual large-scale integration of wind energy in several European countries enhance the position of wind energy compared to other dispatchable forms of generation. Predicting

Paris-Sud XI, Université de

143

Solar Energy Market Forecast | Open Energy Information  

Open Energy Info (EERE)

Solar Energy Market Forecast Solar Energy Market Forecast Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Solar Energy Market Forecast Agency/Company /Organization: United States Department of Energy Sector: Energy Focus Area: Solar Topics: Market analysis, Technology characterizations Resource Type: Publications Website: giffords.house.gov/DOE%20Perspective%20on%20Solar%20Market%20Evolution References: Solar Energy Market Forecast[1] Summary " Energy markets / forecasts DOE Solar America Initiative overview Capital market investments in solar Solar photovoltaic (PV) sector overview PV prices and costs PV market evolution Market evolution considerations Balance of system costs Silicon 'normalization' Solar system value drivers Solar market forecast Additional resources"

144

Williams Stone Wind Turbine | Open Energy Information  

Open Energy Info (EERE)

Wind Turbine Wind Turbine Jump to: navigation, search Name Williams Stone Wind Turbine Facility Williams Stone Wind Turbine Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Williams Stone Developer Sustainable Energy Developments Energy Purchaser Williams Stone Location Otis MA Coordinates 42.232526°, -73.070952° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.232526,"lon":-73.070952,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

145

Bernard Williams's Internalism: A New Interpretation  

E-Print Network [OSTI]

There has been significant and continued debate over the nature and truth of Bernard Williams’s internalism. My aim is to resolve much of the dispute over both of those issues by providing a new interpretation of his ...

Baize, Micah J.

2012-05-31T23:59:59.000Z

146

1 Globular Cluster Systems William E. Harris  

E-Print Network [OSTI]

1 Globular Cluster Systems William E. Harris Department of Physics & Astronomy, McMaster University; 2 W. E. Harris 7. The GCLF is evaluated as a standard candle for distance determination. For giant E

Harris, William E.

147

Smith Theory Revisited William G. Dwyer  

E-Print Network [OSTI]

Smith Theory Revisited William G. Dwyer Clarence W. Wilkerson* 1 Introduction In the late 1930's, P. A. Smith began the investigation. This thread has continued now for almost fifty years. Smith was successful in calculating the cohomology

Wilkerson, Clarence

148

Summary Verification Measures and Their Interpretation for Ensemble Forecasts  

Science Journals Connector (OSTI)

Ensemble prediction systems produce forecasts that represent the probability distribution of a continuous forecast variable. Most often, the verification problem is simplified by transforming the ensemble forecast into probability forecasts for ...

A. Allen Bradley; Stuart S. Schwartz

2011-09-01T23:59:59.000Z

149

Aggregate vehicle travel forecasting model  

SciTech Connect (OSTI)

This report describes a model for forecasting total US highway travel by all vehicle types, and its implementation in the form of a personal computer program. The model comprises a short-run, econometrically-based module for forecasting through the year 2000, as well as a structural, scenario-based longer term module for forecasting through 2030. The short-term module is driven primarily by economic variables. It includes a detailed vehicle stock model and permits the estimation of fuel use as well as vehicle travel. The longer-tenn module depends on demographic factors to a greater extent, but also on trends in key parameters such as vehicle load factors, and the dematerialization of GNP. Both passenger and freight vehicle movements are accounted for in both modules. The model has been implemented as a compiled program in the Fox-Pro database management system operating in the Windows environment.

Greene, D.L.; Chin, Shih-Miao; Gibson, R. [Tennessee Univ., Knoxville, TN (United States)

1995-05-01T23:59:59.000Z

150

Communication of uncertainty in temperature forecasts  

Science Journals Connector (OSTI)

We used experimental economics to test whether undergraduate students presented with a temperature forecast with uncertainty information in a table and bar graph format were able to use the extra information to interpret a given forecast. ...

Pricilla Marimo; Todd R. Kaplan; Ken Mylne; Martin Sharpe

151

FORECASTING THE ROLE OF RENEWABLES IN HAWAII  

E-Print Network [OSTI]

FORECASTING THE ROLE OF RENEWABLES IN HAWAII Jayant SathayeFORECASTING THE ROLF OF RENEWABLES IN HAWAII J Sa and Henrythe Conservation Role of Renewables November 18, 1980 Page 2

Sathaye, Jayant

2013-01-01T23:59:59.000Z

152

Massachusetts state airport system plan forecasts.  

E-Print Network [OSTI]

This report is a first step toward updating the forecasts contained in the 1973 Massachusetts State System Plan. It begins with a presentation of the forecasting techniques currently available; it surveys and appraises the ...

Mathaisel, Dennis F. X.

153

Antarctic Satellite Meteorology: Applications for Weather Forecasting  

Science Journals Connector (OSTI)

For over 30 years, weather forecasting for the Antarctic continent and adjacent Southern Ocean has relied on weather satellites. Significant advancements in forecasting skill have come via the weather satellite. The advent of the high-resolution ...

Matthew A. Lazzara; Linda M. Keller; Charles R. Stearns; Jonathan E. Thom; George A. Weidner

2003-02-01T23:59:59.000Z

154

Forecasting Water Use in Texas Cities  

E-Print Network [OSTI]

In this research project, a methodology for automating the forecasting of municipal daily water use is developed and implemented in a microcomputer program called WATCAL. An automated forecast system is devised by modifying the previously...

Shaw, Douglas T.; Maidment, David R.

155

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Contacts Contacts The International Energy Outlook is prepared by the Energy Information Administration (EIA). General questions concerning the contents of the report should be referred to John J. Conti (john.conti@eia.doe.gov, 202-586-2222), Director, Office of Integrated Analysis and Forecasting. Specific questions about the report should be referred to Linda E. Doman (202/586-1041) or the following analysts: World Energy and Economic Outlook Linda Doman (linda.doman@eia.doe.gov, 202-586-1041) Macroeconomic Assumptions Nasir Khilji (nasir.khilji@eia.doe.gov, 202-586-1294) Energy Consumption by End-Use Sector Residential Energy Use John Cymbalsky (john.cymbalsky@eia.doe.gov, 202-586-4815) Commercial Energy Use Erin Boedecker (erin.boedecker@eia.doe.gov, 202-586-4791)

156

Consensus Coal Production And Price Forecast For  

E-Print Network [OSTI]

Consensus Coal Production And Price Forecast For West Virginia: 2011 Update Prepared for the West December 2011 © Copyright 2011 WVU Research Corporation #12;#12;W.Va. Consensus Coal Forecast Update 2011 i Table of Contents Executive Summary 1 Recent Developments 3 Consensus Coal Production And Price Forecast

Mohaghegh, Shahab

157

Generating and Calibrating Probabilistic Quantitative Precipitation Forecasts from the High-Resolution NWP Model COSMO-DE  

Science Journals Connector (OSTI)

Statistical postprocessing is an integral part of an ensemble prediction system. This study compares methods used to derive probabilistic quantitative precipitation forecasts based on the high-resolution version of the German-focused Consortium ...

Sabrina Bentzien; Petra Friederichs

2012-08-01T23:59:59.000Z

158

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Analysis Papers > Annual Energy Outlook Forecast Evaluation Analysis Papers > Annual Energy Outlook Forecast Evaluation Release Date: February 2005 Next Release Date: February 2006 Printer-friendly version Annual Energy Outlook Forecast Evaluation* Table 1.Comparison of Absolute Percent Errors for Present and Current AEO Forecast Evaluations Printer Friendly Version Average Absolute Percent Error Variable AEO82 to AEO99 AEO82 to AEO2000 AEO82 to AEO2001 AEO82 to AEO2002 AEO82 to AEO2003 AEO82 to AEO2004 Consumption Total Energy Consumption 1.9 2.0 2.1 2.1 2.1 2.1 Total Petroleum Consumption 2.9 3.0 3.1 3.1 3.0 2.9 Total Natural Gas Consumption 7.3 7.1 7.1 6.7 6.4 6.5 Total Coal Consumption 3.1 3.3 3.5 3.6 3.7 3.8 Total Electricity Sales 1.9 2.0 2.3 2.3 2.3 2.4 Production Crude Oil Production 4.5 4.5 4.5 4.5 4.6 4.7

159

Load Forecasting of Supermarket Refrigeration  

E-Print Network [OSTI]

energy system. Observed refrigeration load and local ambient temperature from a Danish su- permarket renewable energy, is increasing, therefore a flexible energy system is needed. In the present ThesisLoad Forecasting of Supermarket Refrigeration Lisa Buth Rasmussen Kongens Lyngby 2013 M.Sc.-2013

160

Essays on macroeconomics and forecasting  

E-Print Network [OSTI]

explanatory variables. Compared to Stock and Watson (2002)�s models, the models proposed in this chapter can further allow me to select the factors structurally for each variable to be forecasted. I find advantages to using the structural dynamic factor...

Liu, Dandan

2006-10-30T23:59:59.000Z

Note: This page contains sample records for the topic "forecast integration william" 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

Forecasting-based SKU classification  

Science Journals Connector (OSTI)

Different spare parts are associated with different underlying demand patterns, which in turn require different forecasting methods. Consequently, there is a need to categorise stock keeping units (SKUs) and apply the most appropriate methods in each category. For intermittent demands, Croston's method (CRO) is currently regarded as the standard method used in industry to forecast the relevant inventory requirements; this is despite the bias associated with Croston's estimates. A bias adjusted modification to CRO (Syntetos–Boylan Approximation, SBA) has been shown in a number of empirical studies to perform very well and be associated with a very ‘robust’ behaviour. In a 2005 article, entitled ‘On the categorisation of demand patterns’ published by the Journal of the Operational Research Society, Syntetos et al. (2005) suggested a categorisation scheme, which establishes regions of superior forecasting performance between CRO and SBA. The results led to the development of an approximate rule that is expressed in terms of fixed cut-off values for the following two classification criteria: the squared coefficient of variation of the demand sizes and the average inter-demand interval. Kostenko and Hyndman (2006) revisited this issue and suggested an alternative scheme to distinguish between CRO and SBA in order to improve overall forecasting accuracy. Claims were made in terms of the superiority of the proposed approach to the original solution but this issue has never been assessed empirically. This constitutes the main objective of our work. In this paper the above discussed classification solutions are compared by means of experimentation on more than 10,000 \\{SKUs\\} from three different industries. The results enable insights to be gained into the comparative benefits of these approaches. The trade-offs between forecast accuracy and other implementation related considerations are also addressed.

G. Heinecke; A.A. Syntetos; W. Wang

2013-01-01T23:59:59.000Z

162

An Optimized Autoregressive Forecast Error Generator for Wind and Load Uncertainty Study  

SciTech Connect (OSTI)

This paper presents a first-order autoregressive algorithm to generate real-time (RT), hour-ahead (HA), and day-ahead (DA) wind and load forecast errors. The methodology aims at producing random wind and load forecast time series reflecting the autocorrelation and cross-correlation of historical forecast data sets. Five statistical characteristics are considered: the means, standard deviations, autocorrelations, and cross-correlations. A stochastic optimization routine is developed to minimize the differences between the statistical characteristics of the generated time series and the targeted ones. An optimal set of parameters are obtained and used to produce the RT, HA, and DA forecasts in due order of succession. This method, although implemented as the first-order regressive random forecast error generator, can be extended to higher-order. Results show that the methodology produces random series with desired statistics derived from real data sets provided by the California Independent System Operator (CAISO). The wind and load forecast error generator is currently used in wind integration studies to generate wind and load inputs for stochastic planning processes. Our future studies will focus on reflecting the diurnal and seasonal differences of the wind and load statistics and implementing them in the random forecast generator.

De Mello, Phillip; Lu, Ning; Makarov, Yuri V.

2011-01-17T23:59:59.000Z

163

COMMENT ON “ON THE STRUCTURE OF DRAVIDIAN RELATIONSHIP SYSTEMS” BY MAURO WILLIAM BARBOSA DE ALMEIDA  

E-Print Network [OSTI]

RELATIONSHIP SYSTEMS” BY MAURO WILLIAM BARBOSA DE ALMEIDA DRELATIONSHIP SYSTEMS” BY MAURO WILLIAM BARBOSA DE ALMEIDA D

Read, Dwight W

2010-01-01T23:59:59.000Z

164

William Fowler and Elements in the Stars  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

William Fowler and Elements in the Stars Resources with Additional Information William A. Fowler Courtesy AIP Emilio Segrè Visual Archives 'William A. Fowler ... shared the 1983 Nobel Prize in physics for his research into the creation of chemical elements inside stars ... . During his career in nuclear physics and nuclear astrophysics, which spanned more that 60 years, Fowler was primarily concerned with studies of fusion reactions--how the nuclei of lighter chemical elements fuse to create the heavier ones in a process known as nucleosynthesis. In 1957, Fowler coauthored ... the seminal paper "Synthesis of the Elements in the Stars", [which] showed that all of the elements from carbon to uranium could be produced by nuclear processes in stars, starting only with the hydrogen and helium produced in the Big Bang.

165

Environmental Compliance and Sustainability The College of William and Mary  

E-Print Network [OSTI]

Environmental Compliance and Sustainability The College of William and Mary Thomas. Thanks are also in order for Professor Sarah Stafford, The College of William nautical miles1 from San Francisco? How will Blueseed demonstrate sustainability

Lewis, Robert Michael

166

REPORT TO THE WILLIAM AND FLORA HEWLETT FOUNDATION  

E-Print Network [OSTI]

William and Flora Hewlett Foundation Professor Edward EisnerTHE WILLIAM AND FLORA HEWLETT FOUNDATION by Professor EdwardGrant from the Hewlett Foundation. This has enabled me to

Eisner, Professor Edward

2011-01-01T23:59:59.000Z

167

Contact Information: Jeff Williams, MLIS phone (858) 822-2218  

E-Print Network [OSTI]

Contact Information: Jeff Williams, MLIS phone (858) 822-2218 Biology Librarian fax (858) 822-2219 UCSD Biomedical Library j12williams@ucsd.edu Life Sciences Newsletter UCSD Biomedical Library Spring

California at San Diego, University of

168

Secure Programming via Visibly Pushdown Safety Games William Harris  

E-Print Network [OSTI]

Safety Games William R. Harris1 , Somesh Jha1 , and Thomas Reps1,2 1 University of WisconsinComputer Sciences Department Secure Programming via Visibly Pushdown Safety Games William Harris

Reps, Thomas W.

169

Forecasting wind speed financial return  

E-Print Network [OSTI]

The prediction of wind speed is very important when dealing with the production of energy through wind turbines. In this paper, we show a new nonparametric model, based on semi-Markov chains, to predict wind speed. Particularly we use an indexed semi-Markov model that has been shown to be able to reproduce accurately the statistical behavior of wind speed. The model is used to forecast, one step ahead, wind speed. In order to check the validity of the model we show, as indicator of goodness, the root mean square error and mean absolute error between real data and predicted ones. We also compare our forecasting results with those of a persistence model. At last, we show an application of the model to predict financial indicators like the Internal Rate of Return, Duration and Convexity.

D'Amico, Guglielmo; Prattico, Flavio

2013-01-01T23:59:59.000Z

170

W&M, JLab Host International Neutrino Workshop (William & Mary...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

wm.edunewsstories2012william--mary-hosts-international-neutrino-workshop123.php Submitted: Wednesday, July 18...

171

Transportation at Williams College: A Luce Foundation Grant Report  

E-Print Network [OSTI]

warming, coupled with fluctuating gasoline and diesel prices nationwide, demands that Williams College of average monthly gasolin

Aalberts, Daniel P.

172

Use of wind power forecasting in operational decisions.  

SciTech Connect (OSTI)

The rapid expansion of wind power gives rise to a number of challenges for power system operators and electricity market participants. The key operational challenge is to efficiently handle the uncertainty and variability of wind power when balancing supply and demand in ths system. In this report, we analyze how wind power forecasting can serve as an efficient tool toward this end. We discuss the current status of wind power forecasting in U.S. electricity markets and develop several methodologies and modeling tools for the use of wind power forecasting in operational decisions, from the perspectives of the system operator as well as the wind power producer. In particular, we focus on the use of probabilistic forecasts in operational decisions. Driven by increasing prices for fossil fuels and concerns about greenhouse gas (GHG) emissions, wind power, as a renewable and clean source of energy, is rapidly being introduced into the existing electricity supply portfolio in many parts of the world. The U.S. Department of Energy (DOE) has analyzed a scenario in which wind power meets 20% of the U.S. electricity demand by 2030, which means that the U.S. wind power capacity would have to reach more than 300 gigawatts (GW). The European Union is pursuing a target of 20/20/20, which aims to reduce greenhouse gas (GHG) emissions by 20%, increase the amount of renewable energy to 20% of the energy supply, and improve energy efficiency by 20% by 2020 as compared to 1990. Meanwhile, China is the leading country in terms of installed wind capacity, and had 45 GW of installed wind power capacity out of about 200 GW on a global level at the end of 2010. The rapid increase in the penetration of wind power into power systems introduces more variability and uncertainty in the electricity generation portfolio, and these factors are the key challenges when it comes to integrating wind power into the electric power grid. Wind power forecasting (WPF) is an important tool to help efficiently address this challenge, and significant efforts have been invested in developing more accurate wind power forecasts. In this report, we document our work on the use of wind power forecasting in operational decisions.

Botterud, A.; Zhi, Z.; Wang, J.; Bessa, R.J.; Keko, H.; Mendes, J.; Sumaili, J.; Miranda, V. (Decision and Information Sciences); (INESC Porto)

2011-11-29T23:59:59.000Z

173

Structured Concurrent Programming William Cook  

E-Print Network [OSTI]

Peters Department of Computer Science University of Texas at Austin http://orc.csres.utexas.edu The 10th #12;Orc · Orc addresses Design: as a component integration system. Components: · from many vendors · for many platforms · written in many languages · may run concurrently and in real-time #12;Evolution of Orc

Misra, Jayadev

174

CURRICULUM VITAE William A. Hoff  

E-Print Network [OSTI]

://inside.mines.edu/~whoff/ EDUCATION Ph.D. Computer Science, University of Illinois (Urbana), 1987. Thesis title: "Surfaces from Stereo: An Integrated Approach" M.S. Physics, University of Illinois (Urbana), 1981. B.S. Physics, Illinois Institute vehicle system for the Department of Energy that demonstrated autonomous monitoring and inspection

175

William and Mary Athletics Recruit Host Money Form  

E-Print Network [OSTI]

William and Mary Athletics Recruit Host Money Form This form must be completed when requesting reimbursement for recruit host money distributed to William and Mary student-athletes. 1. All expenses must from the William and Mary Athletics department, to be used for recruit host money during the dates

Swaddle, John

176

Correlation Resonance Generated by Coupled Enzymatic Processing William H. Mather,  

E-Print Network [OSTI]

. Cookson,§ Jeff Hasty,§ Lev S. Tsimring, and Ruth J. Williams{ * Biocircuits Institute, DepartmentCorrelation Resonance Generated by Coupled Enzymatic Processing William H. Mather, Natalie A, R. J. Williams, L. S. Tsimring, and J. Hasty, unpublished). In this study, it was shown that a rate

Hasty, Jeff

177

Contact Information: Jeff Williams, MLIS phone (858) 822-2218  

E-Print Network [OSTI]

Contact Information: Jeff Williams, MLIS phone (858) 822-2218 Biology Librarian fax (858) 822-2219 UCSD Biomedical Library j12williams@ucsd.edu Life Sciences Newsletter UCSD Biomedical Library Fall 2004 contact me at (858) 822-2218 or j12williams@ucsd.edu Top Biology Resources ­ http

California at San Diego, University of

178

WILLIAM DONALD HAMILTON 1 August 1936 --7 March 2000  

E-Print Network [OSTI]

WILLIAM DONALD HAMILTON 1 August 1936 -- 7 March 2000 Biogr. Mems Fell. R. Soc. Lond. 50, 109­132 (2004) #12;#12;WILLIAM DONALD HAMILTON 1 August 1936 -- 7 March 2000 Elected FRS 1980 BY ALAN GRAFEN Department of Zoology, South Parks Road, Oxford OX1 3PS, UK INTRODUCTION William Donald Hamilton was born

Grafen, Alan

179

Weather Forecast Data an Important Input into Building Management Systems  

E-Print Network [OSTI]

Lewis Poulin Implementation and Operational Services Section Canadian Meteorological Centre, Dorval, Qc National Prediction Operations Division ICEBO 2013, Montreal, Qc October 10 2013 Version 2013-09-27 Weather Forecast Data An Important... and weather information ? Numerical weather forecast production 101 ? From deterministic to probabilistic forecasts ? Some MSC weather forecast (NWP) datasets ? Finding the appropriate data for the appropriate forecast ? Preparing for probabilistic...

Poulin, L.

2013-01-01T23:59:59.000Z

180

BMA Probabilistic Quantitative Precipitation Forecasting over the Huaihe Basin Using TIGGE Multimodel Ensemble Forecasts  

Science Journals Connector (OSTI)

Bayesian model averaging (BMA) probability quantitative precipitation forecast (PQPF) models were established by calibrating their parameters using 1–7-day ensemble forecasts of 24-h accumulated precipitation, and observations from 43 ...

Jianguo Liu; Zhenghui Xie

2014-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast integration william" 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

Calibrated Precipitation Forecasts for a Limited-Area Ensemble Forecast System Using Reforecasts  

Science Journals Connector (OSTI)

The calibration of numerical weather forecasts using reforecasts has been shown to increase the skill of weather predictions. Here, the precipitation forecasts from the Consortium for Small Scale Modeling Limited Area Ensemble Prediction System (...

Felix Fundel; Andre Walser; Mark A. Liniger; Christoph Frei; Christof Appenzeller

2010-01-01T23:59:59.000Z

182

NREL: Transmission Grid Integration - Publications  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Publications Publications Want updates about future transmission grid integration webinars and publications? Join our mailing list. NREL has an extensive collection of publications related to transmission integration research. Explore the resources below to learn more. Selected Project Publications Read selected publications related to these transmission integration projects: Western Wind and Solar Integration Study Eastern Renewable Generation Integration Study Oahu Wind Integration and Transmission Study Flexible Energy Scheduling Tool for Integration of Variable generation (FESTIV) Active power controls Forecasting Grid Simulation. NREL Publications Database NREL's publications database offers a variety of documents related to transmission integration that were written by NREL staff and

183

COLLEGE OF ENGINEERING 159 William States Lee  

E-Print Network [OSTI]

UNDERGRADUATE CATALOG 2007-2009 #12;160 COLLEGE OF ENGINEERING administration and economics offerings and otherCOLLEGE OF ENGINEERING 159 William States Lee College of Engineering www.coe.uncc.edu Dean: Robert College of Engineering has adopted a vision that: The College is the engineering college of first choice

Xie,Jiang (Linda)

184

Workflow Patterns in Orc William Cook  

E-Print Network [OSTI]

1 Workflow Patterns in Orc William Cook Sourabh Patwardhan Jayadev Misra Department of Computer Sciences University of Texas at Austin 2 Overview of Orc · Orchestration language ­Invoke services ­Manage(M, N) let(z) where z : if(x) | if(y) | or(x, y) where x : M where y : N 11 Orc Summary e, f, g ::= c

Cook, William R.

185

Curriculum Vitae William F. McDonough  

E-Print Network [OSTI]

Curriculum Vitae William F. McDonough Notarization. I have read the following and certify that this curriculum vitae is a current and accurate statement of my professional record. Signature_____________________________________ Date______________________ #12;McDonough: Page 2 of 34 Curriculum Vitae I. PERSONAL INFORMATION Name

Mcdonough, William F.

186

Policy-Based Authorization William R. Cook  

E-Print Network [OSTI]

Page 1 Policy-Based Authorization William R. Cook Department of Computer Sciences University of Texas at Austin Abstract This paper discusses policy-based authorization, an effective intermediate point between MAC and DAC that promises to combine the best features of both models. Policy

Cook, William R.

187

WILLIAM W. MERCER United States Attorney  

E-Print Network [OSTI]

Attorney General Environment & Natural Resources Division JEAN E. WILLIAMS, Chief SETH M. BARSKY, Assistant ) ) Plaintiff-Intervenor, ) v. ) ) U.S. FISH AND WILDLIFE SERVICE, ) U.S. ARMY CORPS OF ENGINEERS the Corps, is an action agency with responsibility for complying with the ESA. However, because

188

Amrys O. Williams History of Technology  

E-Print Network [OSTI]

Amrys O. Williams History of Technology Preliminary Exam Reading List, 2008 Supervised by Eric You Should Know about Technology (New York: Cambridge University Press, 1998). Thomas P. Hughes, Human-Built World: How to Think about Technology and Culture (Chicago: University of Chicago Press, 2004). Nina

Wisconsin at Madison, University of

189

Smith Theory Revisited William G. Dwyer  

E-Print Network [OSTI]

Smith Theory Revisited William G. Dwyer Clarence W. Wilkerson \\Lambda 1 Introduction In the late 1930's, P. A. Smith began the investigation of the cohomological properties of a group G of prime order fifty years. Smith was successful in calculating the cohomology of the the fixed point sets

Wilkerson, Clarence

190

NOTES ON PRODUCT SYSTEMS WILLIAM ARVESON  

E-Print Network [OSTI]

NOTES ON PRODUCT SYSTEMS WILLIAM ARVESON Abstract. We summarize the basic properties of continuous tensor product systems of Hilbert spaces and their role in non-commutative dynamics. These are lecture notes, not intended for publication. 1. Concrete Product Systems In these notes we assume the reader

Arveson, William

191

Japan's Squid Fishing Industry WILLIAM G. COURT  

E-Print Network [OSTI]

Japan's Squid Fishing Industry WILLIAM G. COURT .. Introduction Dried-squid (surume) has been an item of commerce, ceremony, and diet in Japan for hundreds of years, and squid is caught of the fishery. In 1952 squid landings reached 646,730 tons and, at 15 percent of the total, became Japan's most

192

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

H Tables H Tables Appendix H Comparisons With Other Forecasts, and Performance of Past IEO Forecasts for 1990, 1995, and 2000 Forecast Comparisons Three organizations provide forecasts comparable with those in the International Energy Outlook 2005 (IEO2005). The International Energy Agency (IEA) provides “business as usual” projections to the year 2030 in its World Energy Outlook 2004; Petroleum Economics, Ltd. (PEL) publishes world energy forecasts to 2025; and Petroleum Industry Research Associates (PIRA) provides projections to 2015. For this comparison, 2002 is used as the base year for all the forecasts, and the comparisons extend to 2025. Although IEA’s forecast extends to 2030, it does not publish a projection for 2025. In addition to forecasts from other organizations, the IEO2005 projections are also compared with those in last year’s report (IEO2004). Because 2002 data were not available when IEO2004 forecasts were prepared, the growth rates from IEO2004 are computed from 2001.

193

Funding Opportunity Announcement for Wind Forecasting Improvement...  

Office of Environmental Management (EM)

to improved forecasts, system operators and industry professionals can ensure that wind turbines will operate at their maximum potential. Data collected during this field...

194

Upcoming Funding Opportunity for Wind Forecasting Improvement...  

Office of Environmental Management (EM)

to improved forecasts, system operators and industry professionals can ensure that wind turbines will operate at their maximum potential. Data collected during this field...

195

Huge market forecast for linear LDPE  

Science Journals Connector (OSTI)

Huge market forecast for linear LDPE ... It now appears that the success of the new technology, which rests largely on energy and equipment cost savings, could be overwhelming. ...

1980-08-25T23:59:59.000Z

196

NOAA GREAT LAKES COASTAL FORECASTING SYSTEM Forecasts (up to 5 days in the future)  

E-Print Network [OSTI]

conditions for up to 5 days in the future. These forecasts are run twice daily, and you can step through are generated every 6 hours and you can step backward in hourly increments to view conditions over the previousNOAA GREAT LAKES COASTAL FORECASTING SYSTEM Forecasts (up to 5 days in the future) and Nowcasts

197

Critical Infrastructure Integration Modeling and William J. Tolone1  

E-Print Network [OSTI]

University City Blvd Charlotte, NC 28223 {wjtolone, davils, anraja}@uncc.edu 2 Department of Geography City Blvd Charlotte, NC 28223 {wxiang, hhao}@uncc.edu, sphelps@carolina.rr.com 3 IntePoint Solutions, LLC. 9201 University City Blvd Charlotte, NC 28223 Wray.Johnson@IntePoint.com Abstract. The protection

Raja, Anita

198

Annual Energy Outlook Forecast Evaluation - Table 1. Forecast Evaluations:  

Gasoline and Diesel Fuel Update (EIA)

Average Absolute Percent Errors from AEO Forecast Evaluations: Average Absolute Percent Errors from AEO Forecast Evaluations: 1996 to 2000 Average Absolute Percent Error Average Absolute Percent Error Average Absolute Percent Error Average Absolute Percent Error Average Absolute Percent Error Variable 1996 Evaluation: AEO82 to AEO93 1997 Evaluation: AEO82 to AEO97 1998 Evaluation: AEO82 to AEO98 1999 Evaluation: AEO82 to AEO99 2000 Evaluation: AEO82 to AEO2000 Consumption Total Energy Consumption 1.8 1.6 1.7 1.7 1.8 Total Petroleum Consumption 3.2 2.8 2.9 2.8 2.9 Total Natural Gas Consumption 6.0 5.8 5.7 5.6 5.6 Total Coal Consumption 2.9 2.7 3.0 3.2 3.3 Total Electricity Sales 1.8 1.6 1.7 1.8 2.0 Production Crude Oil Production 5.1 4.2 4.3 4.5 4.5

199

Optimal combined wind power forecasts using exogeneous variables  

E-Print Network [OSTI]

Optimal combined wind power forecasts using exogeneous variables Fannar ¨Orn Thordarson Kongens of the thesis is combined wind power forecasts using informations from meteorological forecasts. Lyngby, January

200

Ensemble typhoon quantitative precipitation forecasts model in Taiwan  

Science Journals Connector (OSTI)

In this study, an ensemble typhoon quantitative precipitation forecast (ETQPF) model was developed to provide typhoon rainfall forecasts for Taiwan. The ETQPF rainfall forecast is obtained by averaging the pick-out cases, which are screened at a ...

Jing-Shan Hong; Chin-Tzu Fong; Ling-Feng Hsiao; Yi-Chiang Yu; Chian-You Tzeng

Note: This page contains sample records for the topic "forecast integration william" 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

Improved one day-ahead price forecasting using combined time series and artificial neural network models for the electricity market  

Science Journals Connector (OSTI)

The price forecasts embody crucial information for generators when planning bidding strategies to maximise profits. Therefore, generation companies need accurate price forecasting tools. Comparison of neural network and auto regressive integrated moving average (ARIMA) models to forecast commodity prices in previous researches showed that the artificial neural network (ANN) forecasts were considerably more accurate than traditional ARIMA models. This paper provides an accurate and efficient tool for short-term price forecasting based on the combination of ANN and ARIMA. Firstly, input variables for ANN are determined by time series analysis. This model relates the current prices to the values of past prices. Secondly, ANN is used for one day-ahead price forecasting. A three-layered feed-forward neural network algorithm is used for forecasting next-day electricity prices. The ANN model is then trained and tested using data from electricity market of Iran. According to previous studies, in the case of neural networks and ARIMA models, historical demand data do not significantly improve predictions. The results show that the combined ANNâ??ARIMA forecasts prices with high accuracy for short-term periods. Also, it is shown that policy-making strategies would be enhanced due to increased precision and reliability.

Ali Azadeh; Seyed Farid Ghaderi; Behnaz Pourvalikhan Nokhandan; Shima Nassiri

2011-01-01T23:59:59.000Z

202

Short-term solar irradiance forecasting using exponential smoothing state space model  

Science Journals Connector (OSTI)

Abstract We forecast high-resolution solar irradiance time series using an exponential smoothing state space (ESSS) model. To stationarize the irradiance data before applying linear time series models, we propose a novel Fourier trend model and compare the performance with other popular trend models using residual analysis and the Kwiatkowski-Phillips-Schmidt-Shin (KPSS) stationarity test. Using the optimized Fourier trend, an ESSS model is implemented to forecast the stationary residual series of datasets from Singapore and Colorado, USA. To compare the performance with other time series models, autoregressive integrated moving average (ARIMA), linear exponential smoothing (LES), simple exponential smoothing (SES) and random walk (RW) models are tested using the same data. The simulation results show that the ESSS model has generally better performance than other time series forecasting models. To assess the reliability of the forecasting model in real-time applications, a complementary study of the forecasting 95% confidence interval and forecasting horizon of the ESSS model has been conducted.

Zibo Dong; Dazhi Yang; Thomas Reindl; Wilfred M. Walsh

2013-01-01T23:59:59.000Z

203

Forecast of geothermal drilling activity  

SciTech Connect (OSTI)

The numbers of each type of geothermal well expected to be drilled in the United States for each 5-year period to 2000 AD are specified. Forecasts of the growth of geothermally supplied electric power and direct heat uses are presented. The different types of geothermal wells needed to support the forecasted capacity are quantified, including differentiation of the number of wells to be drilled at each major geothermal resource for electric power production. The rate of growth of electric capacity at geothermal resource areas is expected to be 15 to 25% per year (after an initial critical size is reached) until natural or economic limits are approached. Five resource areas in the United States should grow to significant capacity by the end of the century (The Geysers; Imperial Valley; Valles Caldera, NM; Roosevelt Hot Springs, UT; and northern Nevada). About 3800 geothermal wells are expected to be drilled in support of all electric power projects in the United States between 1981 and 2000 AD. Half of the wells are expected to be drilled in the Imperial Valley. The Geysers area is expected to retain most of the drilling activity for the next 5 years. By the 1990's, the Imperial Valley is expected to contain most of the drilling activity.

Brown, G.L.; Mansure, A.J.

1981-10-01T23:59:59.000Z

204

New Concepts in Wind Power Forecasting Models  

E-Print Network [OSTI]

New Concepts in Wind Power Forecasting Models Vladimiro Miranda, Ricardo Bessa, João Gama, Guenter to the training of mappers such as neural networks to perform wind power prediction as a function of wind for more accurate short term wind power forecasting models has led to solid and impressive development

Kemner, Ken

205

QUIKSCAT MEASUREMENTS AND ECMWF WIND FORECASTS  

E-Print Network [OSTI]

. (2004) this forecast error was encountered when assimilating satellite measurements of zonal wind speeds between satellite measurements and meteorological forecasts of near-surface ocean winds. This type of covariance enters in assimilation techniques such as Kalman filtering. In all, six residual fields

Malmberg, Anders

206

QUIKSCAT MEASUREMENTS AND ECMWF WIND FORECASTS  

E-Print Network [OSTI]

. (2004) this forecast error was encountered when assimilating satellite measurements of zonal wind speeds between satellite measurements and meteorological forecasts of near­surface ocean winds. This type of covariance enters in assimilation techniques such as Kalman filtering. In all, six residual fields

Malmberg, Anders

207

PROBLEMS OF FORECAST1 Dmitry KUCHARAVY  

E-Print Network [OSTI]

: Technology Forecast, Laws of Technical systems evolution, Analysis of Contradictions. 1. Introduction Let us: If technology forecasting practice remains at the present level, it is necessary to significantly improve to new demands (like Green House Gases - GHG Effect reduction or covering exploded nuclear reactor

Paris-Sud XI, Université de

208

UHERO FORECAST PROJECT DECEMBER 5, 2014  

E-Print Network [OSTI]

deficits. After solid 3% growth this year, real GDP growth will recede a bit for the next two years. New household spending. Real GDP will firm above 3% in 2015. · The pace of growth in China has continuedUHERO FORECAST PROJECT DECEMBER 5, 2014 Asia-Pacific Forecast: Press Version: Embargoed Until 2

209

A Forecasting Support System Based on Exponential Smoothing  

Science Journals Connector (OSTI)

This chapter presents a forecasting support system based on the exponential smoothing scheme to forecast time-series data. Exponential smoothing methods are simple to apply, which facilitates...

Ana Corberán-Vallet; José D. Bermúdez; José V. Segura…

2010-01-01T23:59:59.000Z

210

ANL Software Improves Wind Power Forecasting | Department of...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

principal investigator for the project. For wind power point forecasting, ARGUS PRIMA trains a neural network using data from weather forecasts, observations, and actual wind...

211

Improved Prediction of Runway Usage for Noise Forecast :.  

E-Print Network [OSTI]

??The research deals with improved prediction of runway usage for noise forecast. Since the accuracy of the noise forecast depends on the robustness of runway… (more)

Dhanasekaran, D.

2014-01-01T23:59:59.000Z

212

The Wind Forecast Improvement Project (WFIP): A Public/Private...  

Energy Savers [EERE]

Improvement Project (WFIP): A PublicPrivate Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations The Wind Forecast...

213

PBL FY 2002 Third Quarter Review Forecast of Generation Accumulated...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Power Business Line Generation Accumulated Net Revenues Forecast for Financial-Based Cost Recovery Adjustment Clause (FB CRAC) FY 2002 Third Quarter Review Forecast in Millions...

214

Mr. William Mendoza Acting Executive Director  

Broader source: Energy.gov (indexed) [DOE]

William Mendoza William Mendoza Acting Executive Director Department of Energy Washing!on, DC 20585 May4, 2011 White House Initiative on Tribal Colleges and Universities Department of Education 400 Maryland A venue, SW Washington, DC 20202 Dear Mr. Mendoza: Enclosed is the Department of Energy's (DOE) Fiscal Year (FY) 2010 Annual Performance Report on our activities to assist Tribal College and Universities (TCUs). DOE is submitting this information in accordance with Executive Order 13270. In FY 2010, DOE provided $275,000 in total expenditures for TCUs, an increase of $169,500 from the amount provided to TCU s in FY 2009. In an effort to raise the level of support in future years, DOE will continue to set funding goals and to identify opportunities for additional

215

Williams, Ronald L From: PETTIS, LARRY  

Broader source: Energy.gov (indexed) [DOE]

PETTIS, LARRY PETTIS, LARRY Sent Tuesday, February 13, 2001' 10:12 PM To: Kelliher, Joseph Cc: Anderson, Margot; McSlanrow, Kyle Subject: Briefing for Vice President's Task Force 11164 DOE016-0916 Williams, Ronald L From: PETTIS, LARRY Sent: Tuesday, February 13.2001-10:12 PM To: Kelliher, Joseph Cc: Anderson, Margot; McSlarrow, Kyle Subject: Briefing for Vice President's Task Force 11165 DOE016-0917 Williams, Ronald L From: Kelliher. Joseph Sent: Tuesday. February 27. 2001 2:24 PM To: Anderson, Margot Subject: RE: solutions From: Anderson, Margot Sent: Tuesday, February 27, 2001 9:38 AM To: Kelliher, Joseph Subject: RE: solutions Yes, I'll stop by. r ---- Orginal Message-- From: Kelliher, Joseph Sent: Tuesday, February 27, 2001 9:34 AM To: Anderson, Margot Subject: RE: solutions Can you stop by after 11? We could talk about this and about providing input into the other sections of the report.

216

Williams Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

Biomass Facility Biomass Facility Facility Williams Sector Biomass Owner Enpower Corp Location Williams, California Coordinates 39.1546137°, -122.1494187° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.1546137,"lon":-122.1494187,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

217

Williams, Arizona: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Williams, Arizona: Energy Resources Williams, Arizona: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 35.2494566°, -112.1910031° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":35.2494566,"lon":-112.1910031,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

218

1993 Pacific Northwest Loads and Resources Study, Pacific Northwest Economic and Electricity Use Forecast, Technical Appendix: Volume 1.  

SciTech Connect (OSTI)

This publication documents the load forecast scenarios and assumptions used to prepare BPA`s Whitebook. It is divided into: intoduction, summary of 1993 Whitebook electricity demand forecast, conservation in the load forecast, projection of medium case electricity sales and underlying drivers, residential sector forecast, commercial sector forecast, industrial sector forecast, non-DSI industrial forecast, direct service industry forecast, and irrigation forecast. Four appendices are included: long-term forecasts, LTOUT forecast, rates and fuel price forecasts, and forecast ranges-calculations.

United States. Bonneville Power Administration.

1994-02-01T23:59:59.000Z

219

Short-Range Direct and Diffuse Irradiance Forecasts for Solar Energy Applications Based on Aerosol Chemical Transport and Numerical Weather Modeling  

Science Journals Connector (OSTI)

This study examines 2–3-day solar irradiance forecasts with respect to their application in solar energy industries, such as yield prediction for the integration of the strongly fluctuating solar energy into the electricity grid. During cloud-...

Hanne Breitkreuz; Marion Schroedter-Homscheidt; Thomas Holzer-Popp; Stefan Dech

2009-09-01T23:59:59.000Z

220

Natural Calamities and Their Forecasting  

Science Journals Connector (OSTI)

Man and the Environment (habitat) comprise an integrated system consisting of numerous inter-related elements, possessing specific traits, and streamlined within certain boundaries. The interaction between Man...

Valery A. Menshikov; Anatoly N. Perminov…

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast integration william" 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

1993 Solid Waste Reference Forecast Summary  

SciTech Connect (OSTI)

This report, which updates WHC-EP-0567, 1992 Solid Waste Reference Forecast Summary, (WHC 1992) forecasts the volumes of solid wastes to be generated or received at the US Department of Energy Hanford Site during the 30-year period from FY 1993 through FY 2022. The data used in this document were collected from Westinghouse Hanford Company forecasts as well as from surveys of waste generators at other US Department of Energy sites who are now shipping or plan to ship solid wastes to the Hanford Site for disposal. These wastes include low-level and low-level mixed waste, transuranic and transuranic mixed waste, and nonradioactive hazardous waste.

Valero, O.J.; Blackburn, C.L. [Westinghouse Hanford Co., Richland, WA (United States); Kaae, P.S.; Armacost, L.L.; Garrett, S.M.K. [Pacific Northwest Lab., Richland, WA (United States)

1993-08-01T23:59:59.000Z

222

Geographic Information System At U.S. West Region (Williams ...  

Open Energy Info (EERE)

navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geographic Information System At U.S. West Region (Williams & Deangelo, 2008) Exploration Activity Details...

223

Principal Deputy Chief William A. Eckroade's Written Testimony...  

Office of Environmental Management (EM)

William A. Eckroade's Written Testimony Before the Subcommittee on Financial and Contracting Oversight Committee on Homeland Security and Governmental Affairs (March 11, 2014)...

224

Metrics for Evaluating the Accuracy of Solar Power Forecasting (Presentation)  

SciTech Connect (OSTI)

This presentation proposes a suite of metrics for evaluating the performance of solar power forecasting.

Zhang, J.; Hodge, B.; Florita, A.; Lu, S.; Hamann, H.; Banunarayanan, V.

2013-10-01T23:59:59.000Z

225

PSO (FU 2101) Ensemble-forecasts for wind power  

E-Print Network [OSTI]

PSO (FU 2101) Ensemble-forecasts for wind power Analysis of the Results of an On-line Wind Power Ensemble- forecasts for wind power (FU2101) a demo-application producing quantile forecasts of wind power correct) quantile forecasts of the wind power production are generated by the application. However

226

Forecasting Uncertainty Related to Ramps of Wind Power Production  

E-Print Network [OSTI]

Forecasting Uncertainty Related to Ramps of Wind Power Production Arthur Bossavy, Robin Girard - The continuous improvement of the accuracy of wind power forecasts is motivated by the increasing wind power study. Key words : wind power forecast, ramps, phase er- rors, forecasts ensemble. 1 Introduction Most

Boyer, Edmond

227

The effect of multinationality on management earnings forecasts  

E-Print Network [OSTI]

and number of countries withforeign subsidiaries) are significantly positively related to more optimistic management earnings forecasts....

Runyan, Bruce Wayne

2005-08-29T23:59:59.000Z

228

Distribution of Wind Power Forecasting Errors from Operational Systems (Presentation)  

SciTech Connect (OSTI)

This presentation offers new data and statistical analysis of wind power forecasting errors in operational systems.

Hodge, B. M.; Ela, E.; Milligan, M.

2011-10-01T23:59:59.000Z

229

Advanced Numerical Weather Prediction Techniques for Solar Irradiance Forecasting : : Statistical, Data-Assimilation, and Ensemble Forecasting  

E-Print Network [OSTI]

United States California Solar Initiative Coastally Trappedparticipants in the California Solar Initiative (CSI)on location. In California, solar irradiance forecasts near

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

230

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Analysis Papers > Annual Energy Outlook Forecast Evaluation>Tables Analysis Papers > Annual Energy Outlook Forecast Evaluation>Tables Annual Energy Outlook Forecast Evaluation Download Adobe Acrobat Reader Printer friendly version on our site are provided in Adobe Acrobat Spreadsheets are provided in Excel Actual vs. Forecasts Formats Table 2. Total Energy Consumption Excel, PDF Table 3. Total Petroleum Consumption Excel, PDF Table 4. Total Natural Gas Consumption Excel, PDF Table 5. Total Coal Consumption Excel, PDF Table 6. Total Electricity Sales Excel, PDF Table 7. Crude Oil Production Excel, PDF Table 8. Natural Gas Production Excel, PDF Table 9. Coal Production Excel, PDF Table 10. Net Petroleum Imports Excel, PDF Table 11. Net Natural Gas Imports Excel, PDF Table 12. World Oil Prices Excel, PDF Table 13. Natural Gas Wellhead Prices

231

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Modeling and Analysis Papers> Annual Energy Outlook Forecast Evaluation>Tables Modeling and Analysis Papers> Annual Energy Outlook Forecast Evaluation>Tables Annual Energy Outlook Forecast Evaluation Actual vs. Forecasts Available formats Excel (.xls) for printable spreadsheet data (Microsoft Excel required) MS Excel Viewer PDF (Acrobat Reader required Download Acrobat Reader ) Adobe Acrobat Reader Logo Table 2. Total Energy Consumption Excel, PDF Table 3. Total Petroleum Consumption Excel, PDF Table 4. Total Natural Gas Consumption Excel, PDF Table 5. Total Coal Consumption Excel, PDF Table 6. Total Electricity Sales Excel, PDF Table 7. Crude Oil Production Excel, PDF Table 8. Natural Gas Production Excel, PDF Table 9. Coal Production Excel, PDF Table 10. Net Petroleum Imports Excel, PDF Table 11. Net Natural Gas Imports Excel, PDF

232

Annual Energy Outlook 2001 - Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

Forecast Comparisons Forecast Comparisons Economic Growth World Oil Prices Total Energy Consumption Residential and Commercial Sectors Industrial Sector Transportation Sector Electricity Natural Gas Petroleum Coal Three other organizations—Standard & Poor’s DRI (DRI), the WEFA Group (WEFA), and the Gas Research Institute (GRI) [95]—also produce comprehensive energy projections with a time horizon similar to that of AEO2001. The most recent projections from those organizations (DRI, Spring/Summer 2000; WEFA, 1st Quarter 2000; GRI, January 2000), as well as other forecasts that concentrate on petroleum, natural gas, and international oil markets, are compared here with the AEO2001 projections. Economic Growth Differences in long-run economic forecasts can be traced primarily to

233

Evaluation of hierarchical forecasting for substitutable products  

Science Journals Connector (OSTI)

This paper addresses hierarchical forecasting in a production planning environment. Specifically, we examine the relative effectiveness of Top-Down (TD) and Bottom-Up (BU) strategies for forecasting the demand for a substitutable product (which belongs to a family) as well as the demand for the product family under different types of family demand processes. Through a simulation study, it is revealed that the TD strategy consistently outperforms the BU strategy for forecasting product family demand. The relative superiority of the TD strategy further improves by as much as 52% as the product demand variability increases and the degree of substitutability between the products decreases. This phenomenon, however, is not always true for forecasting the demand for the products within the family. In this case, it is found that there are a few situations wherein the BU strategy marginally outperforms the TD strategy, especially when the product demand variability is high and the degree of product substitutability is low.

S. Viswanathan; Handik Widiarta; R. Piplani

2008-01-01T23:59:59.000Z

234

Testing Competing High-Resolution Precipitation Forecasts  

E-Print Network [OSTI]

Testing Competing High-Resolution Precipitation Forecasts Eric Gilleland Research Prediction Comparison Test D1 D2 D = D1 ­ D2 copyright NCAR 2013 Loss Differential Field #12;Spatial Prediction Comparison Test Introduced by Hering and Genton

Gilleland, Eric

235

Forecasting Capital Expenditure with Plan Data  

Science Journals Connector (OSTI)

The short-term forecasting of capital expenditure presents one of the most difficult problems ... reason is that year-to-year fluctuations in capital expenditure are extremely wide. Some simple methods which...

W. Gerstenberger

1977-01-01T23:59:59.000Z

236

Forecasting Agriculturally Driven Global Environmental Change  

Science Journals Connector (OSTI)

...of each variable on GDP (13, 17), combined with global GDP projections (14...population, and per capita GDP, combined with projected...measure of agricultural demand for water, is forecast...Just as demand for energy is the major cause...

David Tilman; Joseph Fargione; Brian Wolff; Carla D'Antonio; Andrew Dobson; Robert Howarth; David Schindler; William H. Schlesinger; Daniel Simberloff; Deborah Swackhamer

2001-04-13T23:59:59.000Z

237

Medium- and Long-Range Forecasting  

Science Journals Connector (OSTI)

In contrast to short and extended range forecasts, predictions for periods beyond 5 days use time-averaged, midtropospheric height fields as their primary guidance. As time ranges are increased to 3O- and 90-day outlooks, guidance increasingly ...

A. James Wagner

1989-09-01T23:59:59.000Z

238

Updated Satellite Technique to Forecast Heavy Snow  

Science Journals Connector (OSTI)

Certain satellite interpretation techniques have proven quite useful in the heavy snow forecast process. Those considered best are briefly reviewed, and another technique is introduced. This new technique was found to be most valuable in cyclonic ...

Edward C. Johnston

1995-06-01T23:59:59.000Z

239

Annual Energy Outlook Forecast Evaluation 2005  

Gasoline and Diesel Fuel Update (EIA)

Forecast Evaluation 2005 Forecast Evaluation 2005 Annual Energy Outlook Forecast Evaluation 2005 Annual Energy Outlook Forecast Evaluation 2005 * Then Energy Information Administration (EIA) produces projections of energy supply and demand each year in the Annual Energy Outlook (AEO). The projections in the AEO are not statements of what will happen but of what might happen, given the assumptions and methodologies used. The projections are business-as-usual trend projections, given known technology, technological and demographic trends, and current laws and regulations. Thus, they provide a policy-neutral reference case that can be used to analyze policy initiatives. EIA does not propose or advocate future legislative and regulatory changes. All laws are assumed to remain as currently enacted; however, the impacts of emerging regulatory changes, when defined, are reflected.

240

Univariate time-series forecasting of monthly peak demand of electricity in northern India  

Science Journals Connector (OSTI)

This study forecasts the monthly peak demand of electricity in the northern region of India using univariate time-series techniques namely Multiplicative Seasonal Autoregressive Integrated Moving Average (MSARIMA) and Holt-Winters Multiplicative Exponential Smoothing (ES) for seasonally unadjusted monthly data spanning from April 2000 to February 2007. In-sample forecasting reveals that the MSARIMA model outperforms the ES model in terms of lower root mean square error, mean absolute error and mean absolute percent error criteria. It has been found that ARIMA (2, 0, 0) (0, 1, 1)12 is the best fitted model to explain the monthly peak demand of electricity, which has been used to forecast the monthly peak demand of electricity in northern India, 15 months ahead from February 2007. This will help Northern Regional Load Dispatch Centre to make necessary arrangements a priori to meet the future peak demand.

Sajal Ghosh

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast integration william" 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

A new hybrid model optimized by an intelligent optimization algorithm for wind speed forecasting  

Science Journals Connector (OSTI)

Abstract Forecasting the wind speed is indispensable in wind-related engineering studies and is important in the management of wind farms. As a technique essential for the future of clean energy systems, reducing the forecasting errors related to wind speed has always been an important research subject. In this paper, an optimized hybrid method based on the Autoregressive Integrated Moving Average (ARIMA) and Kalman filter is proposed to forecast the daily mean wind speed in western China. This approach employs Particle Swarm Optimization (PSO) as an intelligent optimization algorithm to optimize the parameters of the ARIMA model, which develops a hybrid model that is best adapted to the data set, increasing the fitting accuracy and avoiding over-fitting. The proposed method is subsequently examined on the wind farms of western China, where the proposed hybrid model is shown to perform effectively and steadily.

Zhongyue Su; Jianzhou Wang; Haiyan Lu; Ge Zhao

2014-01-01T23:59:59.000Z

242

Forecasting energy markets using support vector machines  

Science Journals Connector (OSTI)

Abstract In this paper we investigate the efficiency of a support vector machine (SVM)-based forecasting model for the next-day directional change of electricity prices. We first adjust the best autoregressive SVM model and then we enhance it with various related variables. The system is tested on the daily Phelix index of the German and Austrian control area of the European Energy Exchange (???) wholesale electricity market. The forecast accuracy we achieved is 76.12% over a 200 day period.

Theophilos Papadimitriou; Periklis Gogas; Efthimios Stathakis

2014-01-01T23:59:59.000Z

243

William Herschel, the First Observational Cosmologist  

ScienceCinema (OSTI)

In the late 1700s, a composer, orchestra director and soloist named William Herschel became fascinated with astronomy, and, having built his own reflecting telescope, went out in his garden in Bath, England, one night and discovered Uranus?the first planet in human history ever found by an individual. The feat earned him a lifetime pension from King George III. But Herschel considered the discovery to be relatively unimportant in comparison to his real work: understanding the composition, structure and evolution of the universe. In pursuing that work, he became the first observational cosmologist.

Michael Lemonick

2010-01-08T23:59:59.000Z

244

A GIS tool for the evaluation of the precipitation forecasts of a numerical weather prediction model using satellite data  

Science Journals Connector (OSTI)

In this study, the possibility of implementing Geographic Information Systems (GIS) for developing an integrated and automatic operational system for the real-time evaluation of the precipitation forecasts of the numerical weather prediction model BOLAM (BOlogna Limited Area Model) in Greece, is examined. In fact, the precipitation estimates derived by an infrared satellite technique are used for real-time qualitative and quantitative verification of the precipitation forecasts of the model BOLAM through the use of a GIS tool named as precipitation forecasts evaluator (PFE). The application of the developed tool in a case associated with intense precipitation in Greece, suggested that PFE could be a very important support tool for nowcasting and very short-range forecasting of such events.

Haralambos Feidas; Themistoklis Kontos; Nikolaos Soulakellis; Konstantinos Lagouvardos

2007-01-01T23:59:59.000Z

245

Eastern Renewable Generation Integration Study Solar Dataset (Presentation)  

SciTech Connect (OSTI)

The National Renewable Energy Laboratory produced solar power production data for the Eastern Renewable Generation Integration Study (ERGIS) including "real time" 5-minute interval data, "four hour ahead forecast" 60-minute interval data, and "day-ahead forecast" 60-minute interval data for the year 2006. This presentation provides a brief overview of the three solar power datasets.

Hummon, M.

2014-04-01T23:59:59.000Z

246

CROSS - COMMENT ON “ON THE STRUCTURE OF DRAVIDIAN RELATIONSHIP SYSTEMS” BY MAURO WILLIAM BARBOSA DE ALMEIDA  

E-Print Network [OSTI]

Barbosa de Almeida, Mauro W. , Symmetry and Entropy:RELATIONSHIP SYSTEMS” BY MAURO WILLIAM BARBOSA DE ALMEIDARELATIONSHIP SYSTEMS” BY MAURO WILLIAM BARBOSA DE ALMEIDA

Chit Hlaing, F. K. L.

2010-01-01T23:59:59.000Z

247

116 College of Engineering THE WILLIAM STATES LEE  

E-Print Network [OSTI]

engineering products and engineering services. Such students may choose to construct an elective option116 College of Engineering THE WILLIAM STATES LEE COLLEGE OF ENGINEERING Dean: Professor Johnson; Assistant Deans: Tolley, Price The William States Lee College of Engineering has adopted a vision that

Xie,Jiang (Linda)

248

First house officers in Pathology 1927 William Shipp Justice,  

E-Print Network [OSTI]

Alexander Holmes, Paul Revere Johnson 1937 Eugene Roger Sullivan, Lewis Alexander Vance 1938 William Kenney­1940 Marshall DeG. Ruffin 1940­1941 Charles Derrick 1941­1942 Henry W. Edmonds 1942­1943 Bernard I. Maisel 1943 Dorfman 1985 Juan Rosai 1986 Leopold Koss 1987 Louis P. Dehner 1988 E. Dillwyn Williams 1989 Sharon W

Mootha, Vamsi K.

249

"A future full of promise" William Barton Rogers, 18041882  

E-Print Network [OSTI]

"A future full of promise" William Barton Rogers, 1804­1882 The Massachusetts State House, Beacon Hill, Boston--hub of the solar system, declared Oliver Wendell Holmes. When Governor John Andrew showed thought. "An Act to incorpo- rate the Massachusetts Institute of Technology. . . . William B. Rogers

250

CABLE-SUSPENDED HAPTIC INTERFACE Robert L. Williams II  

E-Print Network [OSTI]

1 CABLE-SUSPENDED HAPTIC INTERFACE Robert L. Williams II Department of Mechanical Engineering Ohio@bobcat.ent.ohiou.edu URL: http://www.ent.ohiou.edu/~bobw #12;2 CABLE-SUSPENDED HAPTIC INTERFACE Robert L. Williams II Ohio University Athens, OH 45701 ABSTRACT A cable-suspended haptic interface (CSHI) concept is presented. The goal

Williams II, Robert L.

251

John J. MacWilliams | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

You are here You are here Home » John J. MacWilliams About Us John J. MacWilliams - Senior Advisor John J. MacWilliams John J. MacWilliams was appointed in June 2013 as Senior Advisor to the Secretary of Energy at the U.S. Department of Energy. In this role he serves as the Secretary's senior finance advisor and is a member of his national security team. Prior to DOE, he was a partner of Tremont Energy Partners, LLC, a private investment firm based in Cambridge, Massachusetts, that was formed in 2003. Prior to Tremont, he was Vice Chairman, Investment Banking, at JP Morgan Chase and a Partner of JP Morgan Partners. Mr. MacWilliams was a founding partner in 1993 of The Beacon Group, LLC, a private investment firm located in New York, which was acquired by JP Morgan Chase in 2000. He was also

252

Forecasting aggregate time series with intermittent subaggregate components: top-down versus bottom-up forecasting  

Science Journals Connector (OSTI)

......optimum value through a grid-search algorithm...method outperformed TD for estimating the aggregate data series...variable, there is no benefit of forecasting each subaggregate...forecasting strategies in estimating the `component'-level...WILLEMAIN, T. R., SMART, C. N., SHOCKOR......

S. Viswanathan; Handik Widiarta; Rajesh Piplani

2008-07-01T23:59:59.000Z

253

New Forecasting Tools Enhance Wind Energy Integration In Idaho...  

Energy Savers [EERE]

mix and what types of other resources-such as quick-start gas- fired units or demand response-will be needed should wind conditions change during the day, as they typically...

254

Forecasting the limits of resilience: integrating empirical research with theory  

Science Journals Connector (OSTI)

...shifts in marine ecosystems: detection, prediction...affect eutrophication restoration targets. Estuaries...of contaminants in aquatic ecosystems. Sci. Total Environ...and recovery in aquatic ecosystems: challenges for...

2009-01-01T23:59:59.000Z

255

A critical study of the four major novels of William Carlos Williams  

E-Print Network [OSTI]

to Pa an and White Mule. Yet the dialogue is readily distinguishable, and the text progresses smoothly from narration to dialogue to narration, Williams handles characterization in several ways but predominantly through characters' dialogue...), analysis of th" other three novels (Chapter III), and the 1 ' ?. " (Ci ~ i t" I') . ~ vov?~tP *. , +i first novel, is treated separately as it differs considerably in subject matte" from the other three novels. White iijle, In the I'io: ey, and The Huz...

Ottmers, Bette Jan

1969-01-01T23:59:59.000Z

256

Notices 19. LTG William Phillips, Deputy  

Broader source: Energy.gov (indexed) [DOE]

429 Federal Register 429 Federal Register / Vol. 76, No. 219 / Monday, November 14, 2011 / Notices 19. LTG William Phillips, Deputy Assistant Secretary of the Army (Acquisition, Logistics and Technology), Office of the Assistant Secretary of the Army (Acquisition, Logistics and Technology). 20. Mr. Wimpy D. Pybus, Deputy Assistant Secretary of the Army for Acquisition, Policy and Logisitics, Office of the Assistant Secretary of the Army (Acquisition, Logistics, and Technology). 21. Mr. Craig R. Schmauder, Deputy General Counsel (Installation, Environment and Civil Works), Office of the General Counsel. 22. Mr. Karl F. Schneider, Principal Deputy to the Assistant Secretary of the Army (Manpower and Reserve Affairs), Office of Assistant Secretary of the Army, Manpower and Reserve Affairs.

257

Williams, Ronald L From: Kelliher, Joseph  

Broader source: Energy.gov (indexed) [DOE]

Kelliher, Joseph Kelliher, Joseph Sent: Wednesday, March 14, 2001 8:56 AM To: Anderson, Margot; Haspel. Abe Subject: Cal conservation plan 6174 DOE012-0199 Williams, Ronald L From: KjerstenS._Drager@ovp.eop.gov%intemet [Kjersten_S._Drager@ovp.eop.gov] Sent: Wednesday, March 14, 2001 10:34 AM To: Kelliher, Joseph; Kolevar, Kevin; Anderson, Margot; kmurphy@osec.doc.gov%intemet: dina.ellis@do.treas.gov%intemet; sue_ellen_wooldridge@ios.doi.gov%intemet; keith.collins@usda.gov 0 /ointemet; joseph.glauber@usda.gov%intemet; galloglysj@state.gov%intemet; mcmanusmt@state.gov%intemet; michelle.poche@osLdot.gov%intemet patricia.stahlschmidt@fema.gov%intemet: brenner.rob@epa.govointemet; symons.jeremy@epa.gov%/ointemet; beale.john@epa.gov% intemet; mpeacock@omb.eop.gov%intemet; Mark_A._Weatherly@omb.eop.gov%intemet;

258

Oral Histories: Biochemist William D. Moss  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

9 9 HUMAN RADIATION STUDIES: REMEMBERING THE EARLY YEARS Oral History of Biochemist William D. Moss Conducted November 30, 1994 United States Department of Energy Office of Human Radiation Experiments September 1995 CONTENTS Foreword Short Biography Early Career at Los Alamos Early Development of Bioassay Tests to Measure Plutonium Exposure Developing Occupational Exposure Limits Exposure Accident Creates Need for More Sensitive Testing Long-Term Follow-Up Studies and the UPPU Club Wright Langham Joins the Los Alamos Health and Safety Group Langham Analyzes Results of Previous Plutonium and Polonium Injection Studies Langham Enacts Stringent Research Controls December 2, 1944 Memo Proposes Human Injection Study Polonium Studies at Rochester Los Alamos Analyzes Urine and Fecal Samples for 1945 Oak Ridge Injection Study

259

The HonorableZ William S. Cohen  

Office of Legacy Management (LM)

.- . .- . ) p. .' *-. , * . . _ The Secretary of Energy d ' -- ,. Washington. s>C 20585 October 10, 199' 7 ' ./ .- ~ * The HonorableZ William S. Cohen : Secretary ofDefense Washington, D.C. 20301 -' Jkar Mr. Secretary: /' . " _,.. .- - z ' The Congress recently sent to the President for signature the Energy and Water . Development Appropriations Act,' 1998. Among other provisions, this bill would immediately transfer responsibility for the Formerly' Utilized Sites Remedial Action Program (FUSRAP) from the Department of Energy to the United States Army Corps of Engineers. Assuming that this transfer becomes law, but without prejudging the President' s decision, the Department of Energy will work with the Corps to ensure a prompt and smooth transition, consistent with the wishes of the

260

Radar-Derived Forecasts of Cloud-to-Ground Lightning Over Houston, Texas  

E-Print Network [OSTI]

Lightning Forecasts..........................................................................................45 2.7 First Flash Forecasts and Lead Times.....................................................................47 vii... Cell Number ? 25 August 2000..............................................68 3.4 First Flash Forecast Time........................................................................................70 3.5 Lightning Forecasting Algorithm (LFA) Development...

Mosier, Richard Matthew

2011-02-22T23:59:59.000Z

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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

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Annual Energy Outlook Forecast Evaluation Actual vs. Forecasts Available formats Excel (.xls) for printable spreadsheet data (Microsoft Excel required) PDF (Acrobat Reader required) Table 2. Total Energy Consumption HTML, Excel, PDF Table 3. Total Petroleum Consumption HTML, Excel, PDF Table 4. Total Natural Gas Consumption HTML, Excel, PDF Table 5. Total Coal Consumption HTML, Excel, PDF Table 6. Total Electricity Sales HTML, Excel, PDF Table 7. Crude Oil Production HTML, Excel, PDF Table 8. Natural Gas Production HTML, Excel, PDF Table 9. Coal Production HTML, Excel, PDF Table 10. Net Petroleum Imports HTML, Excel, PDF Table 11. Net Natural Gas Imports HTML, Excel, PDF Table 12. Net Coal Exports HTML, Excel, PDF Table 13. World Oil Prices HTML, Excel, PDF

262

Feasibility Study for Increased Use of Sustainable Eggs in the Dining Halls of Williams College  

E-Print Network [OSTI]

Introduction The Williams College Sustainability Principles states that "Williams is committed to protectingAbasolo 1 Feasibility Study for Increased Use of Sustainable Eggs in the Dining Halls of Williams College Brandon Abasolo Professor David Dethier Williams College Department of Geosciences May 2010

Aalberts, Daniel P.

263

12-32021E2_Forecast  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

FORECAST OF VACANCIES FORECAST OF VACANCIES Until end of 2014 (Issue No. 20) Page 2 OVERVIEW OF BASIC REQUIREMENTS FOR PROFESSIONAL VACANCIES IN THE IAEA Education, Experience and Skills: Professional staff at the P4-P5 levels: * Advanced university degree (or equivalent postgraduate degree); * 7 or 10 years, respectively, of experience in a field of relevance to the post; * Resource management experience; * Strong analytical skills; * Computer skills: standard Microsoft Office software; * Languages: Fluency in English. Working knowledge of other official languages (Arabic, Chinese, French, Russian, Spanish) advantageous; * Ability to work effectively in multidisciplinary and multicultural teams; * Ability to communicate effectively. Professional staff at the P1-P3 levels:

264

Building Energy Software Tools Directory: Degree Day Forecasts  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Forecasts Forecasts Degree Day Forecasts example chart Quick and easy web-based tool that provides free 14-day ahead degree day forecasts for 1,200 stations in the U.S. and Canada. Degree Day Forecasts charts show this year, last year and three-year average. Historical degree day charts and energy usage forecasts are available from the same site. Keywords degree days, historical weather, mean daily temperature Validation/Testing Degree day data provided by AccuWeather.com, updated daily at 0700. Expertise Required No special expertise required. Simple to use. Users Over 1,000 weekly users. Audience Anyone who needs degree day forecasts (next 14 days) for the U.S. and Canada. Input Select a weather station (1,200 available) and balance point temperature. Output Charts show (1) degree day (heating and cooling) forecasts for the next 14

265

Building Energy Software Tools Directory: Energy Usage Forecasts  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Energy Usage Forecasts Energy Usage Forecasts Energy Usage Forecasts Quick and easy web-based tool that provides free 14-day ahead energy usage forecasts based on the degree day forecasts for 1,200 stations in the U.S. and Canada. The user enters the daily non-weather base load and the usage per degree day weather factor; the tool applies the degree day forecast and displays the total energy usage forecast. Helpful FAQs explain the process and describe various options for the calculation of the base load and weather factor. Historical degree day reports and 14-day ahead degree day forecasts are available from the same site. Keywords degree days, historical weather, mean daily temperature, load calculation, energy simulation Validation/Testing Degree day data provided by AccuWeather.com, updated daily at 0700.

266

Forecasting Market Demand for New Telecommunications Services: An Introduction  

E-Print Network [OSTI]

Forecasting Market Demand for New Telecommunications Services: An Introduction Peter Mc The marketing team of a new telecommunications company is usually tasked with producing forecasts for diverse three decades of experience working with telecommunications operators around the world we seek

McBurney, Peter

267

River Forecast Application for Water Management: Oil and Water?  

Science Journals Connector (OSTI)

Managing water resources generally and managing reservoir operations specifically have been touted as opportunities for applying forecasts to improve decision making. Previous studies have shown that the application of forecasts into water ...

Kevin Werner; Kristen Averyt; Gigi Owen

2013-07-01T23:59:59.000Z

268

Data Mining in Load Forecasting of Power System  

Science Journals Connector (OSTI)

This project applies Data Mining technology to the prediction of electric power system load forecast. It proposes a mining program of electric power load forecasting data based on the similarity of time series .....

Guang Yu Zhao; Yan Yan; Chun Zhou Zhao…

2013-01-01T23:59:59.000Z

269

Power System Load Forecasting Based on EEMD and ANN  

Science Journals Connector (OSTI)

In order to fully mine the characteristics of load data and improve the accuracy of power system load forecasting, a load forecasting model based on Ensemble Empirical Mode ... is proposed in this paper. Firstly,...

Wanlu Sun; Zhigang Liu; Wenfan Li

2011-01-01T23:59:59.000Z

270

U.S. Regional Demand Forecasts Using NEMS and GIS  

E-Print Network [OSTI]

Forecasts Using NEMS and GIS National Climatic Data Center.with Changing Boundaries." Use of GIS to Understand Socio-Forecasts Using NEMS and GIS Appendix A. Map Results Gallery

Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

2005-01-01T23:59:59.000Z

271

Beyond "Partly Sunny": A Better Solar Forecast | Department of...  

Energy Savers [EERE]

Beyond "Partly Sunny": A Better Solar Forecast Beyond "Partly Sunny": A Better Solar Forecast December 7, 2012 - 10:00am Addthis The Energy Department is investing in better solar...

272

The Energy Demand Forecasting System of the National Energy Board  

Science Journals Connector (OSTI)

This paper presents the National Energy Board’s long term energy demand forecasting model in its present state of ... results of recent research at the NEB. Energy demand forecasts developed with the aid of this....

R. A. Preece; L. B. Harsanyi; H. M. Webster

1980-01-01T23:59:59.000Z

273

Forecasting Energy Demand Using Fuzzy Seasonal Time Series  

Science Journals Connector (OSTI)

Demand side energy management has become an important issue for energy management. In order to support energy planning and policy decisions forecasting the future demand is very important. Thus, forecasting the f...

?Irem Uçal Sar?; Ba¸sar Öztay¸si

2012-01-01T23:59:59.000Z

274

Wind power forecasting in U.S. electricity markets.  

SciTech Connect (OSTI)

Wind power forecasting is becoming an important tool in electricity markets, but the use of these forecasts in market operations and among market participants is still at an early stage. The authors discuss the current use of wind power forecasting in U.S. ISO/RTO markets, and offer recommendations for how to make efficient use of the information in state-of-the-art forecasts.

Botterud, A.; Wang, J.; Miranda, V.; Bessa, R. J.; Decision and Information Sciences; INESC Porto

2010-04-01T23:59:59.000Z

275

Wind power forecasting in U.S. Electricity markets  

SciTech Connect (OSTI)

Wind power forecasting is becoming an important tool in electricity markets, but the use of these forecasts in market operations and among market participants is still at an early stage. The authors discuss the current use of wind power forecasting in U.S. ISO/RTO markets, and offer recommendations for how to make efficient use of the information in state-of-the-art forecasts. (author)

Botterud, Audun; Wang, Jianhui; Miranda, Vladimiro; Bessa, Ricardo J.

2010-04-15T23:59:59.000Z

276

Sandia National Laboratories: Solar Energy Forecasting and Resource...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Energy, Modeling & Analysis, News, News & Events, Partnership, Photovoltaic, Renewable Energy, Solar, Systems Analysis The book, Solar Energy Forecasting and Resource...

277

Evaluating alternative fuels in USA: a proposed forecasting framework using AHP and scenarios  

Science Journals Connector (OSTI)

This paper proposes a forecasting framework that integrates the analytic hierarchy process with scenario analysis techniques to explore the commercialisation of future motor fuel technologies. We analyse the reasons for the uncertainty of oil price and how it affects alternative fuel commercialisation. We propose a set of evaluation criteria including Economic, Cultural, Environmental, Sustainability and Development Time. Finally, we develop four different Scenarios to verify the robustness of each alternative.

M.R. Nava; Tugrul U. Daim

2007-01-01T23:59:59.000Z

278

Application of a Combination Forecasting Model in Logistics Parks' Demand  

Science Journals Connector (OSTI)

Logistics parks’ demand is an important basis of establishing the development policy of logistics industry and logistics infrastructure for planning. In order to improve the forecast accuracy of logistics parks’ demand, a combination forecasting ... Keywords: Logistics parks' demand, combine, simulated annealing algorithm, grey forecast model, exponential smoothing method

Chen Qin; Qi Ming

2010-05-01T23:59:59.000Z

279

A BAYESIAN MODEL COMMITTEE APPROACH TO FORECASTING GLOBAL SOLAR RADIATION  

E-Print Network [OSTI]

in the realm of solar radiation forecasting. In this work, two forecasting models: Autoregressive Moving1 A BAYESIAN MODEL COMMITTEE APPROACH TO FORECASTING GLOBAL SOLAR RADIATION. The very first results show an improvement brought by this approach. 1. INTRODUCTION Solar radiation

Boyer, Edmond

280

PSO (FU 2101) Ensemble-forecasts for wind power  

E-Print Network [OSTI]

PSO (FU 2101) Ensemble-forecasts for wind power Wind Power Ensemble Forecasting Using Wind Speed the problems of (i) transforming the meteorological ensembles to wind power ensembles and, (ii) correcting) data. However, quite often the actual wind power production is outside the range of ensemble forecast

Note: This page contains sample records for the topic "forecast integration william" 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.


281

Accuracy of near real time updates in wind power forecasting  

E-Print Network [OSTI]

· advantage: no NWP data necessary ­ very actual shortest term forecasts possible · wind power inputAccuracy of near real time updates in wind power forecasting with regard to different weather October 2007 #12;EMS/ECAM 2007 ­ Nadja Saleck Outline · Study site · Wind power forecasting - method

Heinemann, Detlev

282

CSUF ECONOMIC OUTLOOK AND FORECASTS MIDYEAR UPDATE -APRIL 2014  

E-Print Network [OSTI]

CSUF ECONOMIC OUTLOOK AND FORECASTS MIDYEAR UPDATE - APRIL 2014 Anil Puri, Ph.D. -- Director, Center for Economic Analysis and Forecasting -- Dean, Mihaylo College of Business and Economics Mira Farka, Ph.D. -- Co-Director, Center for Economic Analysis and Forecasting -- Associate Professor

de Lijser, Peter

283

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST. Mitch Tian prepared the peak demand forecast. Ted Dang prepared the historic energy consumption data in California and for climate zones within those areas. The staff California Energy Demand 2008-2018 forecast

284

William S. Maharay: Before the Subcommittee on Government Management,  

Broader source: Energy.gov (indexed) [DOE]

William S. Maharay: Before the Subcommittee on Government William S. Maharay: Before the Subcommittee on Government Management, Organization and Procurement Committee on Oversight and Government Reform U.S. House William S. Maharay: Before the Subcommittee on Government Management, Organization and Procurement Committee on Oversight and Government Reform U.S. House March 20, 2007 Before the Subcommittee on Government Management, Organization and Procurement Committee on Oversight and Government Reform U.S. House Testimony of William S. Maharay, Deputy Inspector General for Audit Services U.S. Department of Energy, Washington, D.C. Testimony on issues associated with the FY 2005 and 2006 Audits of the Department of Energy's Financial Statements. Over the years, the Office of Inspector General has conducted and overseen a number of reviews of the

285

5 Questions for Indoor Environment Group's William Fisk  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

5 Questions for Indoor Environment Group's William Fisk 5 Questions for Indoor Environment Group's William Fisk William Fisk January 2014 Quantifying the Economic Implications of Indoor Air on Energy Efficiency, Performance, and Health William Fisk is a senior scientist, mechanical engineer, and leader of the Indoor Environment Group at Lawrence Berkeley National Laboratory (LBNL). During his 33 years at the lab, he has researched the interrelated issues of building energy performance, ventilation, indoor environmental quality (IEQ), and occupant health and performance. His research focuses primarily on energy efficient methods of maintaining and improving ventilation and IEQ in buildings and on quantifying the impacts of building ventilation and IEQ on health and performance. He is a fellow of ASHRAE, a member of the

286

William S. Maharay: Before the Subcommittee on Government Management,  

Broader source: Energy.gov (indexed) [DOE]

William S. Maharay: Before the Subcommittee on Government William S. Maharay: Before the Subcommittee on Government Management, Organization and Procurement Committee on Oversight and Government Reform U.S. House William S. Maharay: Before the Subcommittee on Government Management, Organization and Procurement Committee on Oversight and Government Reform U.S. House March 20, 2007 Before the Subcommittee on Government Management, Organization and Procurement Committee on Oversight and Government Reform U.S. House Testimony of William S. Maharay, Deputy Inspector General for Audit Services U.S. Department of Energy, Washington, D.C. Testimony on issues associated with the FY 2005 and 2006 Audits of the Department of Energy's Financial Statements. Over the years, the Office of Inspector General has conducted and overseen a number of reviews of the

287

TBU-0045- In the Matter of William Cor  

Broader source: Energy.gov [DOE]

William Cor (the complainant or the employee), appeals the dismissal of his complaint of retaliation filed under 10 C.F.R. Part 708, the Department of Energy (DOE) Contractor Employee Protection...

288

Diamond graphs and super-reflexivity William B. Johnson  

E-Print Network [OSTI]

Diamond graphs and super-reflexivity William B. Johnson and Gideon Schechtman Abstract The main results is that dimension reduction a-la Johnson­Lindenstrauss fails in any non super reflexive space

Johnson, William B.

289

ON COMPLEMENTED VERSIONS OF JAMES'S DISTORTION WILLIAM B. JOHNSON  

E-Print Network [OSTI]

ON COMPLEMENTED VERSIONS OF JAMES'S DISTORTION THEOREMS WILLIAM B. JOHNSON AND NARCISSE. 1 #12;2 JOHNSON AND RANDRIANANTOANINA Question 2. If a Banach space X contains a complemented

Johnson, William B.

290

Wind and Load Forecast Error Model for Multiple Geographically Distributed Forecasts  

SciTech Connect (OSTI)

The impact of wind and load forecast errors on power grid operations is frequently evaluated by conducting multi-variant studies, where these errors are simulated repeatedly as random processes based on their known statistical characteristics. To generate these errors correctly, we need to reflect their distributions (which do not necessarily follow a known distribution law), standard deviations, auto- and cross-correlations. For instance, load and wind forecast errors can be closely correlated in different zones of the system. This paper introduces a new methodology for generating multiple cross-correlated random processes to simulate forecast error curves based on a transition probability matrix computed from an empirical error distribution function. The matrix will be used to generate new error time series with statistical features similar to observed errors. We present the derivation of the method and present some experimental results by generating new error forecasts together with their statistics.

Makarov, Yuri V.; Reyes Spindola, Jorge F.; Samaan, Nader A.; Diao, Ruisheng; Hafen, Ryan P.

2010-11-02T23:59:59.000Z

291

Forecasting the Market Penetration of Energy Conservation Technologies: The Decision Criteria for Choosing a Forecasting Model  

E-Print Network [OSTI]

An important determinant of our energy future is the rate at which energy conservation technologies, once developed, are put into use. At Synergic Resources Corporation, we have adapted and applied a methodology to forecast the use of conservation...

Lang, K.

1982-01-01T23:59:59.000Z

292

Forecasting the Locational Dynamics of Transnational Terrorism  

E-Print Network [OSTI]

Forecasting the Locational Dynamics of Transnational Terrorism: A Network Analytic Approach Bruce A-0406 Fax: (919) 962-0432 Email: skyler@unc.edu Abstract--Efforts to combat and prevent transnational terror of terrorism. We construct the network of transnational terrorist attacks, in which source (sender) and target

Massachusetts at Amherst, University of

293

Do quantitative decadal forecasts from GCMs provide  

E-Print Network [OSTI]

' · Empirical models quantify our ability to predict without knowing the laws of physics · Climatology skill' model? 2. Dynamic climatology (DC) is a more appropriate benchmark for near- term (initialised) climate forecasts · A conditional climatology, initialised at launch and built from the historical archive

Stevenson, Paul

294

Sunny outlook for space weather forecasters  

Science Journals Connector (OSTI)

... For decades, companies have tailored public weather data for private customers from farmers to airlines. On Wednesday, a group of businesses said that they ... utilities and satellite operators. But Terry Onsager, a physicist at the SWPC, says that private forecasting firms are starting to realize that they can add value to these predictions. ...

Eric Hand

2012-04-27T23:59:59.000Z

295

Modeling of Uncertainty in Wind Energy Forecast  

E-Print Network [OSTI]

regression and splines are combined to model the prediction error from Tunø Knob wind power plant. This data of the thesis is quantile regression and splines in the context of wind power modeling. Lyngby, February 2006Modeling of Uncertainty in Wind Energy Forecast Jan Kloppenborg Møller Kongens Lyngby 2006 IMM-2006

296

Prediction versus Projection: How weather forecasting and  

E-Print Network [OSTI]

Prediction versus Projection: How weather forecasting and climate models differ. Aaron B. Wilson Context: Global http://data.giss.nasa.gov/ #12;Numerical Weather Prediction Collect Observations alters associated weather patterns. Models used to predict weather depend on the current observed state

Howat, Ian M.

297

Customized forecasting tool improves reserves estimation  

SciTech Connect (OSTI)

Unique producing characteristics of the Teapot sandstone formation, Powder River basin, Wyoming, necessitated the creation of individualized production forecasting methods for wells producing from this reservoir. The development and use of a set of production type curves and correlations for Teapot wells are described herein.

Mian, M.A.

1986-04-01T23:59:59.000Z

298

Storm-in-a-Box Forecasting  

Science Journals Connector (OSTI)

...But the WRF has no immediate...being tuned to local conditions...temperatures and winds with altitude...resulting WRF forecasts...captured the local sea-breeze winds better...spread the local operation of mesoscale...to be the WRF model now...

Richard A. Kerr

2004-05-14T23:59:59.000Z

299

FORECAST OF VACANCIES Until end of 2016  

E-Print Network [OSTI]

#12;FORECAST OF VACANCIES Until end of 2016 (Issue No. 22) #12;Page 2 OVERVIEW OF BASIC REQUIREMENTS FOR PROFESSIONAL VACANCIES IN THE IAEA Education, Experience and Skills: Professional staff the team of professionals. Second half 2015 VACANCY GRADE REQUIREMENTS / ROLE EXPECTED DATE OF VACANCY

300

Online short-term solar power forecasting  

SciTech Connect (OSTI)

This paper describes a new approach to online forecasting of power production from PV systems. The method is suited to online forecasting in many applications and in this paper it is used to predict hourly values of solar power for horizons of up to 36 h. The data used is 15-min observations of solar power from 21 PV systems located on rooftops in a small village in Denmark. The suggested method is a two-stage method where first a statistical normalization of the solar power is obtained using a clear sky model. The clear sky model is found using statistical smoothing techniques. Then forecasts of the normalized solar power are calculated using adaptive linear time series models. Both autoregressive (AR) and AR with exogenous input (ARX) models are evaluated, where the latter takes numerical weather predictions (NWPs) as input. The results indicate that for forecasts up to 2 h ahead the most important input is the available observations of solar power, while for longer horizons NWPs are the most important input. A root mean square error improvement of around 35% is achieved by the ARX model compared to a proposed reference model. (author)

Bacher, Peder; Madsen, Henrik [Informatics and Mathematical Modelling, Richard Pedersens Plads, Technical University of Denmark, Building 321, DK-2800 Lyngby (Denmark); Nielsen, Henrik Aalborg [ENFOR A/S, Lyngsoe Alle 3, DK-2970 Hoersholm (Denmark)

2009-10-15T23:59:59.000Z

Note: This page contains sample records for the topic "forecast integration william" 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

UNCERTAINTY IN THE GLOBAL FORECAST SYSTEM  

SciTech Connect (OSTI)

We validated one year of Global Forecast System (GFS) predictions of surface meteorological variables (wind speed, air temperature, dewpoint temperature, air pressure) over the entire planet for forecasts extending from zero hours into the future (an analysis) to 36 hours. Approximately 12,000 surface stations world-wide were included in this analysis. Root-Mean-Square- Errors (RMSE) increased as the forecast period increased from zero to 36 hours, but the initial RMSE were almost as large as the 36 hour forecast RMSE for all variables. Typical RMSE were 3 C for air temperature, 2-3mb for sea-level pressure, 3.5 C for dewpoint temperature and 2.5 m/s for wind speed. Approximately 20-40% of the GFS errors can be attributed to a lack of resolution of local features. We attribute the large initial RMSE for the zero hour forecasts to the inability of the GFS to resolve local terrain features that often dominate local weather conditions, e.g., mountain- valley circulations and sea and land breezes. Since the horizontal resolution of the GFS (about 1{sup o} of latitude and longitude) prevents it from simulating these locally-driven circulations, its performance will not improve until model resolution increases by a factor of 10 or more (from about 100 km to less than 10 km). Since this will not happen in the near future, an alternative for the near term to improve surface weather analyses and predictions for specific points in space and time would be implementation of a high-resolution, limited-area mesoscale atmospheric prediction model in regions of interest.

Werth, D.; Garrett, A.

2009-04-15T23:59:59.000Z

302

Williams College Investment Report 2009 Williams College offers an undergraduate education second to none, made possible in part by its deep financial resources.  

E-Print Network [OSTI]

PAGE 1 Williams College Investment Report 2009 Williams College offers an undergraduate education--is the mission of the Investment Committee of the College's Board of Trustees, its Investment Advisory Committees, and the Williams College Investment Office. In addition to presenting fiscal year 2009 returns and historical data

Aalberts, Daniel P.

303

ANL Wind Power Forecasting and Electricity Markets | Open Energy  

Open Energy Info (EERE)

ANL Wind Power Forecasting and Electricity Markets ANL Wind Power Forecasting and Electricity Markets Jump to: navigation, search Logo: Wind Power Forecasting and Electricity Markets Name Wind Power Forecasting and Electricity Markets Agency/Company /Organization Argonne National Laboratory Partner Institute for Systems and Computer Engineering of Porto (INESC Porto) in Portugal, Midwest Independent System Operator and Horizon Wind Energy LLC, funded by U.S. Department of Energy Sector Energy Focus Area Wind Topics Pathways analysis, Technology characterizations Resource Type Software/modeling tools Website http://www.dis.anl.gov/project References Argonne National Laboratory: Wind Power Forecasting and Electricity Markets[1] Abstract To improve wind power forecasting and its use in power system and electricity market operations Argonne National Laboratory has assembled a team of experts in wind power forecasting, electricity market modeling, wind farm development, and power system operations.

304

Short-Term World Oil Price Forecast  

Gasoline and Diesel Fuel Update (EIA)

4 4 Notes: This graph shows monthly average spot West Texas Intermediate crude oil prices. Spot WTI crude oil prices peaked last fall as anticipated boosts to world supply from OPEC and other sources did not show up in actual stocks data. So where do we see crude oil prices going from here? Crude oil prices are expected to be about $28-$30 per barrel for the rest of this year, but note the uncertainty bands on this projection. They give an indication of how difficult it is to know what these prices are going to do. Also, EIA does not forecast volatility. This relatively flat forecast could be correct on average, with wide swings around the base line. Let's explore why we think prices will likely remain high, by looking at an important market barometer - inventories - which measures the

305

Voluntary Green Power Market Forecast through 2015  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

158 158 May 2010 Voluntary Green Power Market Forecast through 2015 Lori Bird National Renewable Energy Laboratory Ed Holt Ed Holt & Associates, Inc. Jenny Sumner and Claire Kreycik National Renewable Energy Laboratory National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Operated by the Alliance for Sustainable Energy, LLC Contract No. DE-AC36-08-GO28308 Technical Report NREL/TP-6A2-48158 May 2010 Voluntary Green Power Market Forecast through 2015 Lori Bird National Renewable Energy Laboratory Ed Holt Ed Holt & Associates, Inc. Jenny Sumner and Claire Kreycik National Renewable Energy Laboratory

306

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Highlights Highlights World energy consumption is projected to increase by 57 percent from 2002 to 2025. Much of the growth in worldwide energy use in the IEO2005 reference case forecast is expected in the countries with emerging economies. Figure 1. World Marketed Energy Consumptiion by Region, 1970-2025. Need help, contact the National Energy Information Center at 202-586-8800. Figure Data In the International Energy Outlook 2005 (IEO2005) reference case, world marketed energy consumption is projected to increase on average by 2.0 percent per year over the 23-year forecast horizon from 2002 to 2025—slightly lower than the 2.2-percent average annual growth rate from 1970 to 2002. Worldwide, total energy use is projected to grow from 412 quadrillion British thermal units (Btu) in 2002 to 553 quadrillion Btu in

307

FORSITE: a geothermal site development forecasting system  

SciTech Connect (OSTI)

The Geothermal Site Development Forecasting System (FORSITE) is a computer-based system being developed to assist DOE geothermal program managers in monitoring the progress of multiple geothermal electric exploration and construction projects. The system will combine conceptual development schedules with site-specific status data to predict a time-phased sequence of development likely to occur at specific geothermal sites. Forecasting includes estimation of industry costs and federal manpower requirements across sites on a year-by-year basis. The main advantage of the system, which relies on reporting of major, easily detectable industry activities, is its ability to use relatively sparse data to achieve a representation of status and future development.

Entingh, D.J.; Gerstein, R.E.; Kenkeremath, L.D.; Ko, S.M.

1981-10-01T23:59:59.000Z

308

Forecasting hotspots using predictive visual analytics approach  

SciTech Connect (OSTI)

A method for forecasting hotspots is provided. The method may include the steps of receiving input data at an input of the computational device, generating a temporal prediction based on the input data, generating a geospatial prediction based on the input data, and generating output data based on the time series and geospatial predictions. The output data may be configured to display at least one user interface at an output of the computational device.

Maciejewski, Ross; Hafen, Ryan; Rudolph, Stephen; Cleveland, William; Ebert, David

2014-12-30T23:59:59.000Z

309

Exponential smoothing model selection for forecasting  

Science Journals Connector (OSTI)

Applications of exponential smoothing to forecasting time series usually rely on three basic methods: simple exponential smoothing, trend corrected exponential smoothing and a seasonal variation thereof. A common approach to selecting the method appropriate to a particular time series is based on prediction validation on a withheld part of the sample using criteria such as the mean absolute percentage error. A second approach is to rely on the most appropriate general case of the three methods. For annual series this is trend corrected exponential smoothing: for sub-annual series it is the seasonal adaptation of trend corrected exponential smoothing. The rationale for this approach is that a general method automatically collapses to its nested counterparts when the pertinent conditions pertain in the data. A third approach may be based on an information criterion when maximum likelihood methods are used in conjunction with exponential smoothing to estimate the smoothing parameters. In this paper, such approaches for selecting the appropriate forecasting method are compared in a simulation study. They are also compared on real time series from the M3 forecasting competition. The results indicate that the information criterion approaches provide the best basis for automated method selection, the Akaike information criteria having a slight edge over its information criteria counterparts.

Baki Billah; Maxwell L. King; Ralph D. Snyder; Anne B. Koehler

2006-01-01T23:59:59.000Z

310

Solar Wind Forecasting with Coronal Holes  

E-Print Network [OSTI]

An empirical model for forecasting solar wind speed related geomagnetic events is presented here. The model is based on the estimated location and size of solar coronal holes. This method differs from models that are based on photospheric magnetograms (e.g., Wang-Sheeley model) to estimate the open field line configuration. Rather than requiring the use of a full magnetic synoptic map, the method presented here can be used to forecast solar wind velocities and magnetic polarity from a single coronal hole image, along with a single magnetic full-disk image. The coronal hole parameters used in this study are estimated with Kitt Peak Vacuum Telescope He I 1083 nm spectrograms and photospheric magnetograms. Solar wind and coronal hole data for the period between May 1992 and September 2003 are investigated. The new model is found to be accurate to within 10% of observed solar wind measurements for its best one-month periods, and it has a linear correlation coefficient of ~0.38 for the full 11 years studied. Using a single estimated coronal hole map, the model can forecast the Earth directed solar wind velocity up to 8.5 days in advance. In addition, this method can be used with any source of coronal hole area and location data.

S. Robbins; C. J. Henney; J. W. Harvey

2007-01-09T23:59:59.000Z

311

Waste generation forecast for DOE-ORO`s Environmental Restoration OR-1 Project: FY 1995-FY 2002, September 1994 revision  

SciTech Connect (OSTI)

A comprehensive waste-forecasting task was initiated in FY 1991 to provide a consistent, documented estimate of the volumes of waste expected to be generated as a result of U.S. Department of Energy-Oak Ridge Operations (DOE-ORO) Environmental Restoration (ER) OR-1 Project activities. Continual changes in the scope and schedules for remedial action (RA) and decontamination and decommissioning (D&D) activities have required that an integrated data base system be developed that can be easily revised to keep pace with changes and provide appropriate tabular and graphical output. The output can then be analyzed and used to drive planning assumptions for treatment, storage, and disposal (TSD) facilities. The results of this forecasting effort and a description of the data base developed to support it are provided herein. The initial waste-generation forecast results were compiled in November 1991. Since the initial forecast report, the forecast data have been revised annually. This report reflects revisions as of September 1994.

Not Available

1994-12-01T23:59:59.000Z

312

LETTER CONCERNING “ON THE STRUCTURE OF DRAVIDIAN RELATIONSHIP SYSTEMS” BY MAURO WILLIAM BARBOSA DE ALMEIDA In MACT Volume 3 No. 1, August 2010  

E-Print Network [OSTI]

RELATIONSHIP SYSTEMS” BY MAURO WILLIAM BARBOSA DE ALMEIDA InRELATIONSHIP SYSTEMS” BY MAURO WILLIAM BARBOSA DE ALMEIDA In

Denham, Woodrow W

2010-01-01T23:59:59.000Z

313

Mountrail-Williams Elec Coop | Open Energy Information  

Open Energy Info (EERE)

Mountrail-Williams Elec Coop Mountrail-Williams Elec Coop Jump to: navigation, search Name Mountrail-Williams Elec Coop Place North Dakota Utility Id 20413 Utility Location Yes Ownership C NERC Location MRO NERC MRO Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Air conditioning rate Grain Drying Program Commercial Heat rate Residential rate Residential Wind Energy Average Rates Residential: $0.0717/kWh Commercial: $0.0885/kWh Industrial: $0.0703/kWh The following table contains monthly sales and revenue data for

314

City of Williams - AZ, Arizona (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Williams - AZ, Arizona (Utility Company) Williams - AZ, Arizona (Utility Company) Jump to: navigation, search Name City of Williams - AZ Place Arizona Utility Id 56535 Utility Location Yes Ownership M NERC Location WECC NERC WECC Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Buying Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png City owned Lights(20,000 Lumens,400 W MV-Pole) Lighting City owned Lights(4,000 Lumens-Pole) Lighting City owned Lights(7,000 Lumens, 175 W MV-Pole) Lighting Customer owned Lights(20,000 Lumens 400 W MV-Pole) Commercial Customer owned Lights(4,000 Lumens-Pole) Lighting

315

Annual Energy Outlook with Projections to 2025-Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

Forecast Comparisons Forecast Comparisons Annual Energy Outlook 2004 with Projections to 2025 Forecast Comparisons Index (click to jump links) Economic Growth World Oil Prices Total Energy Consumption Electricity Natural Gas Petroleum Coal The AEO2004 forecast period extends through 2025. One other organization—Global Insight, Incorporated (GII)—produces a comprehensive energy projection with a similar time horizon. Several others provide forecasts that address one or more aspects of energy markets over different time horizons. Recent projections from GII and others are compared here with the AEO2004 projections. Economic Growth Printer Friendly Version Average annual percentage growth Forecast 2002-2008 2002-2013 2002-2025 AEO2003 3.2 3.3 3.1 AEO2004 Reference 3.3 3.2 3.0

316

Metrics for Evaluating the Accuracy of Solar Power Forecasting: Preprint  

SciTech Connect (OSTI)

Forecasting solar energy generation is a challenging task due to the variety of solar power systems and weather regimes encountered. Forecast inaccuracies can result in substantial economic losses and power system reliability issues. This paper presents a suite of generally applicable and value-based metrics for solar forecasting for a comprehensive set of scenarios (i.e., different time horizons, geographic locations, applications, etc.). In addition, a comprehensive framework is developed to analyze the sensitivity of the proposed metrics to three types of solar forecasting improvements using a design of experiments methodology, in conjunction with response surface and sensitivity analysis methods. The results show that the developed metrics can efficiently evaluate the quality of solar forecasts, and assess the economic and reliability impact of improved solar forecasting.

Zhang, J.; Hodge, B. M.; Florita, A.; Lu, S.; Hamann, H. F.; Banunarayanan, V.

2013-10-01T23:59:59.000Z

317

Hope and despair: visual arts in the drama of Tennessee Williams  

E-Print Network [OSTI]

this "plastic theatre" a goal throughout his career. However, critics note that while his later plays such as The Two-Character Play employ many expressionistic devices, Williams falls short of the ideal. Rodney Simard echoes William J. Free's feeling...

Wallace, Stephanie

2013-02-22T23:59:59.000Z

318

Steerable Filters and Local Analysis of Image Structure William Tafel Freeman  

E-Print Network [OSTI]

Steerable Filters and Local Analysis of Image Structure by William Tafel Freeman B.S., Physics Filters and Local Analysis of Image Structure by William Tafel Freeman Submitted to the Media Arts

319

Microsoft PowerPoint - Williams_IPRC_Presentation  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ZONE ZONE FREEZING STUDY FOR PYROCHEMICAL PROCESS WASTE MINIMIZATION ZONE FREEZING STUDY FOR PYROCHEMICAL PROCESS WASTE MINIMIZATION Ammon N. Williams and Supathorn Phongikaroon University of Idaho Michael F. Simpson Idaho National Laboratory 2012 International Pyroprocessing Research Conference Ammon N. Williams and Supathorn Phongikaroon University of Idaho Michael F. Simpson Idaho National Laboratory 2012 International Pyroprocessing Research Conference Outline * Background, Motivation, and Goals * Experimental Method * Experimental Results * Model Development * Modeling Results * Conclusions and Recommendations * Acknowledgments 2 Concept of Advanced Pyrochemical Process Chopped Driver or Blanket Fuel Uranium Metal Metal Waste Ceramic Waste Electrorefiner and Product Refinement Recycled High Purity Electrolyte 3 Contaminated Electrolyte Ion Exchange

320

Managing Wind Power Forecast Uncertainty in Electric Grids.  

E-Print Network [OSTI]

??Electricity generated from wind power is both variable and uncertain. Wind forecasts provide valuable information for wind farm management, but they are not perfect. Chapter… (more)

Mauch, Brandon Keith

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast integration william" 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

Forecasting supply/demand and price of ethylene feedstocks  

SciTech Connect (OSTI)

The history of the petrochemical industry over the past ten years clearly shows that forecasting in a turbulent world is like trying to predict tomorrow's headlines.

Struth, B.W.

1984-08-01T23:59:59.000Z

322

PBL FY 2003 Third Quarter Review Forecast of Generation Accumulated...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

for Financial-Based Cost Recovery Adjustment Clause (FB CRAC) and Safety-Net Cost Recovery Adjustment Clause (SN CRAC) FY 2003 Third Quarter Review Forecast in Millions...

323

FY 2004 Second Quarter Review Forecast of Generation Accumulated...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

for Financial-Based Cost Recovery Adjustment Clause (FB CRAC) and Safety-Net Cost Recovery Adjustment Clause (SN CRAC) FY 2004 Second Quarter Review Forecast In Millions...

324

Assessing the Feasibility of An Energy Savings Incentive Program for Williams College  

E-Print Network [OSTI]

". http://www.williams.edu/resources/sustainability/co2_goals.php Accessed May 11, 2010. 2 "CollegeAssessing the Feasibility of An Energy Savings Incentive Program for Williams College By Corey Benson #12;2 Introduction In January 2007, Williams College committed to lower its CO2 emissions 10

Aalberts, Daniel P.

325

Making Lasting Bonds Through Synthetic Chemistry Tim Hubin and William Kelly  

E-Print Network [OSTI]

1 Making Lasting Bonds Through Synthetic Chemistry Tim Hubin and William Kelly Southwestern 73096 580-774-3026 tim.hubin@swosu.edu William J. Kelly, Ph. D. Professor and Chair Department-774-3026 william.kelly@swosu.edu 3. Development Staff Proposed: a. Full curriculum development and initial testing

Hubin, Tim

326

Forecasting for inventory control with exponential smoothing  

Science Journals Connector (OSTI)

Exponential smoothing, often used in sales forecasting for inventory control, has always been rationalized in terms of statistical models that possess errors with constant variances. It is shown in this paper that exponential smoothing remains appropriate under more general conditions, where the variance is allowed to grow or contract with corresponding movements in the underlying level. The implications for estimation and prediction are explored. In particular, the problem of finding the predictive distribution of aggregate lead-time demand, for use in inventory control calculations, is considered using a bootstrap approach. A method for establishing order-up-to levels directly from the simulated predictive distribution is also explored.

Ralph D. Snyder; Anne B. Koehler; J.Keith Ord

2002-01-01T23:59:59.000Z

327

Probabilistic Verification of Global and Mesoscale Ensemble Forecasts of Tropical Cyclogenesis  

Science Journals Connector (OSTI)

Probabilistic forecasts of tropical cyclogenesis have been evaluated for two samples: a near-homogeneous sample of ECMWF and Weather Research and Forecasting (WRF) Model–ensemble Kalman filter (EnKF) ensemble forecasts during the National Science ...

Sharanya J. Majumdar; Ryan D. Torn

2014-10-01T23:59:59.000Z

328

Advanced Numerical Weather Prediction Techniques for Solar Irradiance Forecasting : : Statistical, Data-Assimilation, and Ensemble Forecasting  

E-Print Network [OSTI]

Piwko, 2010: Western wind and solar integration study. NRELsources such as wind and solar power. Integration of this

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

329

College of Engineering 123 THE WILLIAM STATES LEE  

E-Print Network [OSTI]

and economics offerings and other courses to strengthen their communication skills. Engineering studentsCollege of Engineering 123 THE WILLIAM STATES LEE COLLEGE OF ENGINEERING Dean: Professor Robert College of Engineering has adopted a vision that: The College will be the engineering college of choice

Xie,Jiang (Linda)

330

Powering Mercury's dynamo J.-P. Williams,1  

E-Print Network [OSTI]

Powering Mercury's dynamo J.-P. Williams,1 O. Aharonson,1 and F. Nimmo2 Received 6 July 2007 magnetic field of Mercury has implications for the interior structure of the planet and its thermal (2007), Powering Mercury's dynamo, Geophys. Res. Lett., 34, L21201, doi:10.1029/ 2007GL031164. 1

Nimmo, Francis

331

High Performance Commercial Building Systems William L. Carroll  

E-Print Network [OSTI]

Efficiency and Renewable Energy, Building Technologies Program of the U.S. Department of Energy underHigh Performance Commercial Building Systems William L. Carroll Ernest Orlando Lawrence Berkeley.2 ­ Retrofit Tools Task 2 HPBCS E2P2.2T3 LBNL - 57775 California Energy Commission Public Interest Energy

332

Reliability: The Other Dimension of Quality William Q. Meeker  

E-Print Network [OSTI]

the relationship between engineering quality and reliability and outline the role of statistics and statisticiansReliability: The Other Dimension of Quality William Q. Meeker Department of Statistics Iowa State in the use of statistical methods for product quality. Tools for process monitoring and, particularly

333

Philosophy for Children and Other People William J. Rapaport  

E-Print Network [OSTI]

Philosophy for Children and Other People William J. Rapaport Department of Computer Science and Engineering, Department of Philosophy, and Center for Cognitive Science State University of New York, 2006 Abstract A review of Gareth Matthews' Philosophy and the Young Child (Cambridge, MA: Harvard

Rapaport, William J.

334

The Book Review Column1 by William Gasarch  

E-Print Network [OSTI]

The Book Review Column1 by William Gasarch Department of Computer Science University of Maryland at College Park College Park, MD, 20742 email: gasarch@cs.umd.edu In this column we review the following books. 1. Excellence Without a Soul: How a Great University Forgot Education by Harry Lewis. Review

Gasarch, William Ian

335

The Book Review Column1 by William Gasarch  

E-Print Network [OSTI]

The Book Review Column1 by William Gasarch Department of Computer Science University of Maryland at College Park College Park, MD, 20742 email: gasarch@cs.umd.edu In this column we review the following books. 1. Symbolic Asymptotics by John R. Shackell. Review by James C. Beaumont. Given two functions f

Gasarch, William Ian

336

Williams Syndrome Tissue Donor Information and Registration Packet  

E-Print Network [OSTI]

for by The Salk Institute for Biological Studies and University of Maryland Brain and Tissue Bank. All major are donating the key to that treasure to future generations. Dr. Rodriguez , NICHD Brain Bank, Miami We would and families to make precious brain tissue available to scientists in order to advance Williams syndrome

Bellugi, Ursula

337

The Lynne and William Frankel Center for Computer Science  

E-Print Network [OSTI]

The Lynne and William Frankel Center for Computer Science Department of Computer Science Ben Gurion. David Abramson Director of the Monash e-Research Centre Monash Univeristy, Australia e-Science: Are we there yet? e-Science involves the application of advanced computational methods to other areas of science

Beimel, Amos

338

Fishing for an Analogy to Global Warming William Menke  

E-Print Network [OSTI]

Fishing for an Analogy to Global Warming William Menke That our beloved Wilson Lake once harbored and smaller fish. Any sort of unfavorable weather conditions could reduce the supply of food, which in turn, but whether the salt has affected the fish is hotly debated. Some environmentalists say that increased

Menke, William

339

Bibliography For William Gropp [1] mat04:report  

E-Print Network [OSTI]

Bibliography For William Gropp [1] mat04:report International workshop on advanced computational materials science: Application to fusion and generation-IV fission reactors, 2004. Also ORNL/TM-2004/132. [2] conf/icpp/2007 2007 International Conference on Parallel Processing (ICPP 2007), September 10-14, 2007

Gropp, Bill

340

Bibliography For William Gropp [1] mat04:report  

E-Print Network [OSTI]

Bibliography For William Gropp [1] mat04:report International workshop on advanced computational materials science: Application to fusion and generation-IV #12;ssion reactors, 2004. Also ORNL/TM-2004/132. [2] conf/icpp/2007 2007 International Conference on Parallel Processing (ICPP 2007), September 10

Gropp, Bill

Note: This page contains sample records for the topic "forecast integration william" 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

Contemporary Sea Level Rise Anny Cazenave and William Llovel  

E-Print Network [OSTI]

Contemporary Sea Level Rise Anny Cazenave and William Llovel Laboratoire d'´etudes en g reserved 1941-1405/10/0115-0145$20.00 Key Words sea level rise, climate change, land ice melt, ocean we report on most recent results on contemporary sea level rise. We first present sea level

Siegel, David A.

342

NOAA/NMFS Developments William G. Gordon Named Assistant Administrator  

E-Print Network [OSTI]

Mission, Exhibit Promote U.S. Seafood William G. Gordon United States seafood companies sold more than $1 Ltd. of Seattle; Golden Eye Seafoods of Fair- haven, Mass.; and Kachemak Seafoods. Inc., of Togiak pollock to yellow perch, were displayed today by 15 U.S. seafood fIrms and fishery development foundations

343

Cellular mechanisms of membrane protein folding William R Skach  

E-Print Network [OSTI]

Cellular mechanisms of membrane protein folding William R Skach The membrane protein­folding. This Perspective will focus on emerging evidence that the RTC functions as a protein-folding machine that restricts. The process of polytopic (multispanning) membrane protein folding can be viewed as a series of sequential

Cai, Long

344

Wind Power for Williams College: A Feasibility Study  

E-Print Network [OSTI]

College adopted a goal to reduce greenhouse gas emissions by 10% below the College's 1990-1991 levels owned by Williams College. It examines a range of various issues related to such a project. The idea, clean energy source. While there are many options for clean energy, wind energy stands out as a logical

Aalberts, Daniel P.

345

DEPARTMENT OF INTERCOLLEGIATE ATHLETICS THE COLLEGE OF WILLIAM AND MARY  

E-Print Network [OSTI]

23185 CHARTERED 1693 Mr. John Doe 123 Main Street Williamsburg, VA 23185 Dear John: This is to advise Policies, the William and Mary Student Handbook and the Student-Athlete Handbook, and the applicable and Mary Student Handbook; 4) I voluntarily withdraw from the sport for personal reasons; 5) I effectively

Swaddle, John

346

The Book Review Column1 by William Gasarch  

E-Print Network [OSTI]

curious about or think ought to be in a handbook. I comment on how well the book does on answering each. Algorithms and Theory of Computation Handbook edited by Mikhail Atallah. Re- viewed by William Gasarch. This is a new handbook, published in 1999. It is not an update of the MIT handbook that came out in 1990

Gasarch, William Ian

347

Geographic Information System At U.S. West Region (Williams & Deangelo,  

Open Energy Info (EERE)

Williams & Deangelo, Williams & Deangelo, 2008) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geographic Information System At U.S. West Region (Williams & Deangelo, 2008) Exploration Activity Details Location U.S. West Region Exploration Technique Geographic Information System Activity Date Usefulness useful DOE-funding Unknown References Colin F. Williams, Jacob DeAngelo (2008) Mapping Geothermal Potential In The Western United States Retrieved from "http://en.openei.org/w/index.php?title=Geographic_Information_System_At_U.S._West_Region_(Williams_%26_Deangelo,_2008)&oldid=390068" Category: Exploration Activities What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load)

348

Data Acquisition-Manipulation At U.S. West Region (Williams & Deangelo,  

Open Energy Info (EERE)

Williams & Deangelo, Williams & Deangelo, 2008) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Data Acquisition-Manipulation At U.S. West Region (Williams & Deangelo, 2008) Exploration Activity Details Location U.S. West Region Exploration Technique Data Acquisition-Manipulation Activity Date Usefulness useful DOE-funding Unknown References Colin F. Williams, Jacob DeAngelo (2008) Mapping Geothermal Potential In The Western United States Retrieved from "http://en.openei.org/w/index.php?title=Data_Acquisition-Manipulation_At_U.S._West_Region_(Williams_%26_Deangelo,_2008)&oldid=387276" Category: Exploration Activities What links here Related changes Special pages Printable version Permanent link Browse properties About us Disclaimers

349

Weather satellites and the economic value of forecasts: evidence from the electric power industry  

Science Journals Connector (OSTI)

Data from weather satellites have become integral to the weather forecast process in the United States and abroad. Satellite data are used to derive improved forecasts for short-term routine weather, long-term climate change, and for predicting natural disasters. The resulting forecasts have saved lives, reduced weather-related economic losses, and improved the quality of life. Weather information routinely assists in managing resources more efficiently and reducing industrial operating costs. The electric energy industry in particular makes extensive use of weather information supplied by both government and commercial suppliers. Through direct purchases of weather data and information, and through participating in the increasing market for weather derivatives, this sector provides measurable indicators of the economic importance of weather information. Space weather in the form of magnetic disturbances caused by coronal mass ejections from the sun creates geomagnetically induced currents that disturb the electric power grid, sometimes causing significant economic impacts on electric power distribution. This paper examines the use of space-derived weather information on the U.S. electric power industry. It also explores issues that may impair the most optimum use of the information and reviews the longer-term opportunities for employing weather data acquired from satellites in future commercial and government activity.

Henry R. Hertzfeld; Ray A. Williamson; Avery Sen

2004-01-01T23:59:59.000Z

350

Random switching exponential smoothing and inventory forecasting  

Science Journals Connector (OSTI)

Abstract Exponential smoothing models represent an important prediction tool both in business and in macroeconomics. This paper provides the analytical forecasting properties of the random coefficient exponential smoothing model in the “multiple source of error” framework. The random coefficient state-space representation allows for switching between simple exponential smoothing and local linear trend. Therefore it enables controlling, in a flexible manner, the random changing dynamic behavior of the time series. The paper establishes the algebraic mapping between the state-space parameters and the implied reduced form ARIMA parameters. In addition, it shows that the parametric mapping allows overcoming the difficulties that are likely to emerge in estimating directly the random coefficient state-space model. Finally, it presents an empirical application comparing the forecast accuracy of the suggested model vis-à-vis other benchmark models, both in the ARIMA and in the exponential smoothing class. Using time series relative to wholesalers inventories in the USA, the out-of-sample results show that the reduced form of the random coefficient exponential smoothing model tends to be superior to its competitors.

Giacomo Sbrana; Andrea Silvestrini

2014-01-01T23:59:59.000Z

351

Voluntary Green Power Market Forecast through 2015  

SciTech Connect (OSTI)

Various factors influence the development of the voluntary 'green' power market--the market in which consumers purchase or produce power from non-polluting, renewable energy sources. These factors include climate policies, renewable portfolio standards (RPS), renewable energy prices, consumers' interest in purchasing green power, and utilities' interest in promoting existing programs and in offering new green options. This report presents estimates of voluntary market demand for green power through 2015 that were made using historical data and three scenarios: low-growth, high-growth, and negative-policy impacts. The resulting forecast projects the total voluntary demand for renewable energy in 2015 to range from 63 million MWh annually in the low case scenario to 157 million MWh annually in the high case scenario, representing an approximately 2.5-fold difference. The negative-policy impacts scenario reflects a market size of 24 million MWh. Several key uncertainties affect the results of this forecast, including uncertainties related to growth assumptions, the impacts that policy may have on the market, the price and competitiveness of renewable generation, and the level of interest that utilities have in offering and promoting green power products.

Bird, L.; Holt, E.; Sumner, J.; Kreycik, C.

2010-05-01T23:59:59.000Z

352

Expert Panel: Forecast Future Demand for Medical Isotopes  

Broader source: Energy.gov (indexed) [DOE]

Expert Panel: Expert Panel: Forecast Future Demand for Medical Isotopes March 1999 Expert Panel: Forecast Future Demand for Medical Isotopes September 25-26, 1998 Arlington, Virginia The Expert Panel ............................................................................................. Page 1 Charge To The Expert Panel........................................................................... Page 2 Executive Summary......................................................................................... Page 3 Introduction ...................................................................................................... Page 4 Rationale.......................................................................................................... Page 6 Economic Analysis...........................................................................................

353

A robust automatic phase-adjustment method for financial forecasting  

Science Journals Connector (OSTI)

In this work we present the robust automatic phase-adjustment (RAA) method to overcome the random walk dilemma for financial time series forecasting. It consists of a hybrid model composed of a qubit multilayer perceptron (QuMLP) with a quantum-inspired ... Keywords: Financial forecasting, Hybrid models, Quantum-inspired evolutionary algorithm, Qubit multilayer perceptron, Random walk dilemma

Ricardo de A. Araújo

2012-03-01T23:59:59.000Z

354

Developing electricity forecast web tool for Kosovo market  

Science Journals Connector (OSTI)

In this paper is presented a web tool for electricity forecast for Kosovo market for the upcoming ten years. The input data i.e. electricity generation capacities, demand and consume are taken from the document "Kosovo Energy Strategy 2009-2018" compiled ... Keywords: .NET, database, electricity forecast, internet, simulation, web

Blerim Rexha; Arben Ahmeti; Lule Ahmedi; Vjollca Komoni

2011-02-01T23:59:59.000Z

355

FORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS  

E-Print Network [OSTI]

resources resulting in water stress. Effective water management ­ a solution Supply side management Demand side management #12;Developing a regression equation based on cluster analysis for forecasting waterFORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS by Bruce Bishop Professor of Civil

Keller, Arturo A.

356

Impact of PV forecasts uncertainty in batteries management in microgrids  

E-Print Network [OSTI]

production forecast algorithm is used in combination with a battery schedule optimisation algorithm. The size. On the other hand if forecasted high production events do not occur, the cost of de- optimisation Energies and Energy Systems Sophia Antipolis, France andrea.michiorri@mines-paristech.fr Abstract

Paris-Sud XI, Université de

357

Revised 1997 Retail Electricity Price Forecast Principal Author: Ben Arikawa  

E-Print Network [OSTI]

Revised 1997 Retail Electricity Price Forecast March 1998 Principal Author: Ben Arikawa Electricity 1997 FORE08.DOC Page 1 CALIFORNIA ENERGY COMMISSION ELECTRICITY ANALYSIS OFFICE REVISED 1997 RETAIL ELECTRICITY PRICE FORECAST Introduction The Electricity Analysis Office of the California Energy Commission

358

Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center  

E-Print Network [OSTI]

Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center: The Regime at wind energy sites are becoming paramount. Regime-switching space-time (RST) models merge meteorological forecast regimes at the wind energy site and fits a conditional predictive model for each regime

Washington at Seattle, University of

359

A Transformed Lagged Ensemble Forecasting Technique for Increasing Ensemble Size  

E-Print Network [OSTI]

A Transformed Lagged Ensemble Forecasting Technique for Increasing Ensemble Size Andrew. R.Lawrence@ecmwf.int #12;Abstract An ensemble-based data assimilation approach is used to transform old en- semble. The impact of the transformations are propagated for- ward in time over the ensemble's forecast period

Hansens, Jim

360

Improving baseline forecasts in a 500-industry dynamic CGE model of the USA.  

E-Print Network [OSTI]

??MONASH-style CGE models have been used to generate baseline forecasts illustrating how an economy is likely to evolve through time. One application of such forecasts… (more)

Mavromatis, Peter George

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast integration william" 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

E-Print Network 3.0 - africa conditional forecasts Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Search Powered by Explorit Topic List Advanced Search Sample search results for: africa conditional forecasts Page: << < 1 2 3 4 5 > >> 1 COLORADO STATE UNIVERSITY FORECAST...

362

Modelling and forecasting Oman crude oil prices using Box-Jenkins techniques  

Science Journals Connector (OSTI)

The Box-Jenkins' Auto Regressive Integrated Moving Average (ARIMA) modelling approach has been applied for the time series analysis of monthly average prices of Oman crude oil taken over a period of 10 years. Several seasonal and non-seasonal ARIMA models were identified. These models were then estimated and compared for their adequacy using the significance of the parameter estimates, mean square errors and Modified Box-Pierce (Ljung-Box) Chi-Square statistic. Based on these criterion a multiplicative seasonal model of the form ARIMA (1,1,5)x(1,1,1) was recommended for short term forecasting.

M.I. Ahmad

2012-01-01T23:59:59.000Z

363

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Electricity Electricity Electricity consumption nearly doubles in the IEO2005 projection period. The emerging economies of Asia are expected to lead the increase in world electricity use. Figure 58. World Net Electricity Consumption, 2002-2025 (Billion Kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 59. World Net Electricity Consumption by Region, 2002-2025 (Billion Kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data The International Energy Outlook 2005 (IEO2005) reference case projects that world net electricity consumption will nearly double over the next two decades.10 Over the forecast period, world electricity demand is projected to grow at an average rate of 2.6 percent per year, from 14,275 billion

364

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Natural Gas Natural gas is the fastest growing primary energy source in the IEO2005 forecast. Consumption of natural gas is projected to increase by nearly 70 percent between 2002 and 2025, with the most robust growth in demand expected among the emerging economies. Figure 34. World Natural Gas Consumption, 1980-2025 (Trillion Cubic Feet). Need help, contact the National Energy Information Center on 202-586-8800. Figure Data Figure 35. Natural Gas Consumption by Region, 1980-2025 (Trillion Cubic Feet). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 36. Increase in Natural Gas Consumption by Region and Country, 2002-2025. Need help, contact the National Energy Information Center at 202-586-8800. Figure Data

365

Annual Energy Outlook 1998 Forecasts - Preface  

Gasoline and Diesel Fuel Update (EIA)

1998 With Projections to 2020 1998 With Projections to 2020 Annual Energy Outlook 1999 Report will be Available on December 9, 1998 Preface The Annual Energy Outlook 1998 (AEO98) presents midterm forecasts of energy supply, demand, and prices through 2020 prepared by the Energy Information Administration (EIA). The projections are based on results from EIA's National Energy Modeling System (NEMS). The report begins with an “Overview” summarizing the AEO98 reference case. The next section, “Legislation and Regulations,” describes the assumptions made with regard to laws that affect energy markets and discusses evolving legislative and regulatory issues. “Issues in Focus” discusses three current energy issues—electricity restructuring, renewable portfolio standards, and carbon emissions. It is followed by the analysis

366

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Energy Consumption by End-Use Sector Energy Consumption by End-Use Sector In the IEO2005 projections, end-use energy consumption in the residential, commercial, industrial, and transportation sectors varies widely among regions and from country to country. One way of looking at the future of world energy markets is to consider trends in energy consumption at the end-use sector level. With the exception of the transportation sector, which is almost universally dominated by petroleum products at present, the mix of energy use in the residential, commercial, and industrial sectors can vary widely from country to country, depending on a combination of regional factors, such as the availability of energy resources, the level of economic development, and political, social, and demographic factors. This chapter outlines the International Energy Outlook 2005 (IEO2005) forecast for regional energy consumption by end-use sector.

367

Volatility forecasting with smooth transition exponential smoothing  

Science Journals Connector (OSTI)

Adaptive exponential smoothing methods allow smoothing parameters to change over time, in order to adapt to changes in the characteristics of the time series. This paper presents a new adaptive method for predicting the volatility in financial returns. It enables the smoothing parameter to vary as a logistic function of user-specified variables. The approach is analogous to that used to model time-varying parameters in smooth transition generalised autoregressive conditional heteroskedastic (GARCH) models. These non-linear models allow the dynamics of the conditional variance model to be influenced by the sign and size of past shocks. These factors can also be used as transition variables in the new smooth transition exponential smoothing (STES) approach. Parameters are estimated for the method by minimising the sum of squared deviations between realised and forecast volatility. Using stock index data, the new method gave encouraging results when compared to fixed parameter exponential smoothing and a variety of GARCH models.

James W. Taylor

2004-01-01T23:59:59.000Z

368

Incorporating Forecast Uncertainty in Utility Control Center  

SciTech Connect (OSTI)

Uncertainties in forecasting the output of intermittent resources such as wind and solar generation, as well as system loads are not adequately reflected in existing industry-grade tools used for transmission system management, generation commitment, dispatch and market operation. There are other sources of uncertainty such as uninstructed deviations of conventional generators from their dispatch set points, generator forced outages and failures to start up, load drops, losses of major transmission facilities and frequency variation. These uncertainties can cause deviations from the system balance, which sometimes require inefficient and costly last minute solutions in the near real-time timeframe. This Chapter considers sources of uncertainty and variability, overall system uncertainty model, a possible plan for transition from deterministic to probabilistic methods in planning and operations, and two examples of uncertainty-based fools for grid operations.This chapter is based on work conducted at the Pacific Northwest National Laboratory (PNNL)

Makarov, Yuri V.; Etingov, Pavel V.; Ma, Jian

2014-07-09T23:59:59.000Z

369

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Table 1. Comparison of Absolute Percent Errors for Present and Current AEO Forecast Evaluations Table 1. Comparison of Absolute Percent Errors for Present and Current AEO Forecast Evaluations Average Absolute Percent Error Variable AEO82 to AEO98 AEO82 to AEO99 AEO82 to AEO2000 AEO82 to AEO2001 AEO82 to AEO2002 AEO82 to AEO2003 Consumption Total Energy Consumption 1.7 1.7 1.8 1.9 1.9 2.1 Total Petroleum Consumption 2.9 2.8 2.9 3.0 2.9 2.9 Total Natural Gas Consumption 5.7 5.6 5.6 5.5 5.5 6.5 Total Coal Consumption 3.0 3.2 3.3 3.5 3.6 3.7 Total Electricity Sales 1.7 1.8 1.9 2.4 2.5 2.4 Production Crude Oil Production 4.3 4.5 4.5 4.5 4.5 4.7 Natural Gas Production 4.8 4.7 4.6 4.6 4.4 4.4 Coal Production 3.6 3.6 3.5 3.7 3.6 3.8 Imports and Exports Net Petroleum Imports 9.5 8.8 8.4 7.9 7.4 7.5 Net Natural Gas Imports 16.7 16.0 15.9 15.8 15.8 15.4

370

Towards Integrated PSEs for Wireless Communications: Experiences with the S  

E-Print Network [OSTI]

¥ Wireless Networking and Communications Group (WNCG) Department of Electrical and Computer EngineeringTowards Integrated PSEs for Wireless Communications: Experiences with the S W and SitePlanner R¦ , Jing Jiang¦ , and William H. Tranter¦ ¢ Wireless Valley Communications, Inc. Austin, TX 78758 £ Google

Ramakrishnan, Naren

371

Coal production forecast and low carbon policies in China  

Science Journals Connector (OSTI)

With rapid economic growth and industrial expansion, China consumes more coal than any other nation. Therefore, it is particularly crucial to forecast China's coal production to help managers make strategic decisions concerning China's policies intended to reduce carbon emissions and concerning the country's future needs for domestic and imported coal. Such decisions, which must consider results from forecasts, will have important national and international effects. This article proposes three improved forecasting models based on grey systems theory: the Discrete Grey Model (DGM), the Rolling DGM (RDGM), and the p value RDGM. We use the statistical data of coal production in China from 1949 to 2005 to validate the effectiveness of these improved models to forecast the data from 2006 to 2010. The performance of the models demonstrates that the p value RDGM has the best forecasting behaviour over this historical time period. Furthermore, this paper forecasts coal production from 2011 to 2015 and suggests some policies for reducing carbon and other emissions that accompany the rise in forecasted coal production.

Jianzhou Wang; Yao Dong; Jie Wu; Ren Mu; He Jiang

2011-01-01T23:59:59.000Z

372

Williams Elementary and Middle School Wind Project | Open Energy  

Open Energy Info (EERE)

Middle School Wind Project Middle School Wind Project Jump to: navigation, search Name Williams Elementary and Middle School Wind Project Facility Williams Elementary and Middle School Sector Wind energy Facility Type Community Wind Location AZ Coordinates 35.253555°, -112.19558° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":35.253555,"lon":-112.19558,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

373

Low Dose Radiation Research Program: William F. Morgan  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

William F. Morgan William F. Morgan Pacific Northwest National Laboratory PO Box 999 Richland, Washington About this Project Projects Using a Low LET Electron Microbeam to Investigate Non-Targeted Effects of Low Dose Radiation. Optimizing the Scientific, Regulatory, and Societal Impact of the DOE Low Dose Radiation Research Program A Mechanistic Study of the Radiation Quality Dependence of Bystander Effects in Human Cells. Genetic Factors Affecting Susceptibility to Low-Dose Radiation Mechanisms of Adaptive Responses and Genomic Instability Induced by Low Dose/ Low Dose Rate Radiation Technical Abstracts 2006 Workshop: Using a Low-LET Electron Microbeam to Investigate Non-Targeted Effects of Low Dose Radiation Sowa, M.B., Goetz, W., Baulch, J., and Morgan, W.F. Genetic Factors Affecting Susceptibility to Low-Dose Radiation

374

W. Alexander Williams, Ph.D Designation and Certification Manager  

Office of Legacy Management (LM)

March 20, 1995 March 20, 1995 W. Alexander Williams, Ph.D Designation and Certification Manager EM-421 Quince Orchard U.S. Department of Energy Washington, DC 20585-0002 L -=kj SUBJECT: FINAL REPORT-RADIOLOGICAL SURVEY OF THE F AMERICAN MANUFACTURING COMPANY OF TEXA WORTH, TEXAS I ,d Sl I lRMER , FORT Dear Dr. Williams: The Environmental,Survey and Site Assessment Program (ESSAP) of the C for Science and Education (ORISE) conducted radiological survey activii American Manufacturing Company of Texas Site in Fort Worth, Texas October 3 through 5, 1994. The survey activities consisted of document revi surface activity measurements, smears for removable activity, exposure rate m soil and miscellaneous sampling. k Ridge Institute :s at the former wing the period

375

The Honorable Robert E. Williams 44 W. Washington Street  

Office of Legacy Management (LM)

SEC ; : ' SEC ; : ' ,-<- I ;;;s The Honorable Robert E. Williams 44 W. Washington Street Shelbyville, Indiana 46176 Dear Mayor Williams: Secretary of Energy Hazel O'Leary has announced a new approach to openness in the Department of Energy (DOE) and its communications with the public. In support of this initiative, we are pleased to forward the enclosed information related to the former General Electric Co. site in your jurisdiction that performed work for DOE or its predecessor agencies. This information is provided for your information, use, and retention. DOE's Formerly Utilized Sites Remedial Action Program is responsible for identification of sites used by DOE's predecessor agencies, determining their current radiological condition and, where it has authority, performing

376

Measuring the forecasting accuracy of models: evidence from industrialised countries  

Science Journals Connector (OSTI)

This paper uses the approach suggested by Akrigay (1989), Tse and Tung (1992) and Dimson and Marsh (1990) to examine the forecasting accuracy of stock price index models for industrialised markets. The focus of this paper is to compare the Mean Absolute Percentage Error (MAPE) of three models, that is, the Random Walk model, the Single Exponential Smoothing model and the Conditional Heteroskedastic model with the MAPE of the benchmark Naive Forecast 1 case. We do not evidence that a single model to provide better forecasting accuracy results compared to other models.

Athanasios Koulakiotis; Apostolos Dasilas

2009-01-01T23:59:59.000Z

377

Solar irradiance forecasting at multiple time horizons and novel methods to evaluate uncertainty  

E-Print Network [OSTI]

Solar irradiance data . . . . . . . . . . . . .Accuracy . . . . . . . . . . . . . . . . . Solar Resourcev Uncertainty In Solar Resource: Forecasting

Marquez, Ricardo

2012-01-01T23:59:59.000Z

378

18 Bureau of Meteorology Annual Report 201314 Hazards, warnings and forecasts  

E-Print Network [OSTI]

and numerical prediction models. #12;19Bureau of Meteorology Annual Report 2013­14 2 Performance Performance programs: · Weather forecasting services; · Flood forecasting and warning services; · Hazard prediction, Warnings and Forecasts portfolio provides a range of forecast and warning services covering weather, ocean

Greenslade, Diana

379

Energy Forecasting Framework and Emissions Consensus Tool (EFFECT) | Open  

Open Energy Info (EERE)

Energy Forecasting Framework and Emissions Consensus Tool (EFFECT) Energy Forecasting Framework and Emissions Consensus Tool (EFFECT) Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: Energy Forecasting Framework and Emissions Consensus Tool (EFFECT) Agency/Company /Organization: Energy Sector Management Assistance Program of the World Bank Sector: Energy Focus Area: Non-renewable Energy Topics: Baseline projection, Co-benefits assessment, GHG inventory Resource Type: Software/modeling tools User Interface: Spreadsheet Complexity/Ease of Use: Simple Website: www.esmap.org/esmap/EFFECT Cost: Free Equivalent URI: www.esmap.org/esmap/EFFECT Energy Forecasting Framework and Emissions Consensus Tool (EFFECT) Screenshot

380

Forecasting Crude Oil Spot Price Using OECD Petroleum Inventory  

Gasoline and Diesel Fuel Update (EIA)

Forecasting Forecasting Crude Oil Spot Price Using OECD Petroleum Inventory Levels MICHAEL YE, ∗ JOHN ZYREN, ∗∗ AND JOANNE SHORE ∗∗ Abstract This paper presents a short-term monthly forecasting model of West Texas Intermedi- ate crude oil spot price using OECD petroleum inventory levels. Theoretically, petroleum inventory levels are a measure of the balance, or imbalance, between petroleum production and demand, and thus provide a good market barometer of crude oil price change. Based on an understanding of petroleum market fundamentals and observed market behavior during the post-Gulf War period, the model was developed with the objectives of being both simple and practical, with required data readily available. As a result, the model is useful to industry and government decision-makers in forecasting price and investigat- ing the impacts of changes on price, should inventories,

Note: This page contains sample records for the topic "forecast integration william" 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

Adaptive sampling and forecasting with mobile sensor networks  

E-Print Network [OSTI]

This thesis addresses planning of mobile sensor networks to extract the best information possible out of the environment to improve the (ensemble) forecast at some verification region in the future. To define the information ...

Choi, Han-Lim

2009-01-01T23:59:59.000Z

382

Pacific Adaptation Strategy Assistance Program Dynamical Seasonal Forecasting  

E-Print Network [OSTI]

Pacific Adaptation Strategy Assistance Program Dynamical Seasonal Forecasting Seasonal Prediction · POAMA · Issues for future Outline #12;Pacific Adaptation Strategy Assistance Program Major source Adaptation Strategy Assistance Program El Nino Mean State · Easterlies westward surface current upwelling

Lim, Eun-pa

383

Forecasting Volatility in Stock Market Using GARCH Models  

E-Print Network [OSTI]

Forecasting volatility has held the attention of academics and practitioners all over the world. The objective for this master's thesis is to predict the volatility in stock market by using generalized autoregressive ...

Yang, Xiaorong

2008-01-01T23:59:59.000Z

384

Exponential smoothing with covariates applied to electricity demand forecast  

Science Journals Connector (OSTI)

Exponential smoothing methods are widely used as forecasting techniques in industry and business. Their usual formulation, however, does not allow covariates to be used for introducing extra information into the forecasting process. In this paper, we analyse an extension of the exponential smoothing formulation that allows the use of covariates and the joint estimation of all the unknowns in the model, which improves the forecasting results. The whole procedure is detailed with a real example on forecasting the daily demand for electricity in Spain. The time series of daily electricity demand contains two seasonal patterns: here the within-week seasonal cycle is modelled as usual in exponential smoothing, while the within-year cycle is modelled using covariates, specifically two harmonic explanatory variables. Calendar effects, such as national and local holidays and vacation periods, are also introduced using covariates. [Received 28 September 2010; Revised 6 March 2011, 2 October 2011; Accepted 16 October 2011

José D. Bermúdez

2013-01-01T23:59:59.000Z

385

Initial conditions estimation for improving forecast accuracy in exponential smoothing  

Science Journals Connector (OSTI)

In this paper we analyze the importance of initial conditions in exponential smoothing models on forecast errors and prediction intervals. We work with certain exponential smoothing models, namely Holt’s additive...

E. Vercher; A. Corberán-Vallet; J. V. Segura; J. D. Bermúdez

2012-07-01T23:59:59.000Z

386

Review/Verify Strategic Skills Needs/Forecasts/Future Mission...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ReviewVerify Strategic Skills NeedsForecastsFuture Mission Shifts Annual Lab Plan (1-10 yrs) Fermilab Strategic Agenda (2-5 yrs) Sector program Execution Plans (1-3...

387

A Parameter for Forecasting Tornadoes Associated with Landfalling Tropical Cyclones  

Science Journals Connector (OSTI)

The authors develop a statistical guidance product, the tropical cyclone tornado parameter (TCTP), for forecasting the probability of one or more tornadoes during a 6-h period that are associated with landfalling tropical cyclones affecting the ...

Matthew J. Onderlinde; Henry E. Fuelberg

2014-10-01T23:59:59.000Z

388

Wind Power Forecasting: State-of-the-Art 2009  

E-Print Network [OSTI]

Wind Power Forecasting: State-of-the-Art 2009 ANL/DIS-10-1 Decision and Information Sciences about Argonne and its pioneering science and technology programs, see www.anl.gov. #12;Wind Power

Kemner, Ken

389

2007 National Hurricane Center Forecast Verification Report James L. Franklin  

E-Print Network [OSTI]

storms 17 4. Genesis Forecasts 17 5. Summary and Concluding Remarks 18 a. Atlantic Summary 18 statistical models, provided the best intensity guidance at each time period. The 2007 season marked the first

390

Recently released EIA report presents international forecasting data  

SciTech Connect (OSTI)

This report presents information from the Energy Information Administration (EIA). Articles are included on international energy forecasting data, data on the use of home appliances, gasoline prices, household energy use, and EIA information products and dissemination avenues.

NONE

1995-05-01T23:59:59.000Z

391

FINAL DEMAND FORECAST FORMS AND INSTRUCTIONS FOR THE 2007  

E-Print Network [OSTI]

......................................................................... 11 3. Demand Side Management (DSM) Program Impacts................................... 13 4. Demand Sylvia Bender Manager DEMAND ANALYSIS OFFICE Scott W. Matthews Chief Deputy Director B.B. Blevins Forecast Methods and Models ....................................................... 14 5. Demand-Side

392

Information-Based Skill Scores for Probabilistic Forecasts  

Science Journals Connector (OSTI)

The information content, that is, the predictive capability, of a forecast system is often quantified with skill scores. This paper introduces two ranked mutual information skill (RMIS) scores, RMISO and RMISY, for the evaluation of probabilistic ...

Bodo Ahrens; André Walser

2008-01-01T23:59:59.000Z

393

A methodology for forecasting carbon dioxide flooding performance  

E-Print Network [OSTI]

A methodology was developed for forecasting carbon dioxide (CO2) flooding performance quickly and reliably. The feasibility of carbon dioxide flooding in the Dollarhide Clearfork "AB" Unit was evaluated using the methodology. This technique is very...

Marroquin Cabrera, Juan Carlos

2012-06-07T23:59:59.000Z

394

Evolutionary Optimization of an Ice Accretion Forecasting System  

Science Journals Connector (OSTI)

The ability to model and forecast accretion of ice on structures is very important for many industrial sectors. For example, studies conducted by the power transmission industry indicate that the majority of failures are caused by icing on ...

Pawel Pytlak; Petr Musilek; Edward Lozowski; Dan Arnold

2010-07-01T23:59:59.000Z

395

Diagnosing the Origin of Extended-Range Forecast Errors  

Science Journals Connector (OSTI)

Experiments with the ECMWF model are carried out to study the influence that a correct representation of the lower boundary conditions, the tropical atmosphere, and the Northern Hemisphere stratosphere would have on extended-range forecast skill ...

T. Jung; M. J. Miller; T. N. Palmer

2010-06-01T23:59:59.000Z

396

Application of an Improved SVM Algorithm for Wind Speed Forecasting  

Science Journals Connector (OSTI)

An improved Support Vector Machine (SVM) algorithm is used to forecast wind in Doubly Fed Induction Generator (DFIG) wind power system without aerodromometer. The ... Validation (CV) method. Finally, 3.6MW DFIG w...

Huaqiang Zhang; Xinsheng Wang; Yinxiao Wu

2011-01-01T23:59:59.000Z

397

Research on Development Trends of Power Load Forecasting Methods  

Science Journals Connector (OSTI)

In practical problem, number of samples is often limited, for complex issues such as power load forecasting, generally available historical data and information of impact factor are very ... support vector mechan...

Litong Dong; Jun Xu; Haibo Liu; Ying Guo

2014-01-01T23:59:59.000Z

398

Representing Forecast Error in a Convection-Permitting Ensemble System  

Science Journals Connector (OSTI)

Ensembles provide an opportunity to greatly improve short-term prediction of local weather hazards, yet generating reliable predictions remain a significant challenge. In particular, convection-permitting ensemble forecast systems (CPEFSs) have ...

Glen S. Romine; Craig S. Schwartz; Judith Berner; Kathryn R. Fossell; Chris Snyder; Jeff L. Anderson; Morris L. Weisman

2014-12-01T23:59:59.000Z

399

Network Bandwidth Utilization Forecast Model on High Bandwidth Network  

SciTech Connect (OSTI)

With the increasing number of geographically distributed scientific collaborations and the scale of the data size growth, it has become more challenging for users to achieve the best possible network performance on a shared network. We have developed a forecast model to predict expected bandwidth utilization for high-bandwidth wide area network. The forecast model can improve the efficiency of resource utilization and scheduling data movements on high-bandwidth network to accommodate ever increasing data volume for large-scale scientific data applications. Univariate model is developed with STL and ARIMA on SNMP path utilization data. Compared with traditional approach such as Box-Jenkins methodology, our forecast model reduces computation time by 83.2percent. It also shows resilience against abrupt network usage change. The accuracy of the forecast model is within the standard deviation of the monitored measurements.

Yoo, Wucherl; Sim, Alex

2014-07-07T23:59:59.000Z

400

Wind Speed Forecasting Using a Hybrid Neural-Evolutive Approach  

Science Journals Connector (OSTI)

The design of models for time series prediction has found a solid foundation on statistics. Recently, artificial neural networks have been a good choice as approximators to model and forecast time series. Designing a neural network that provides a good ...

Juan J. Flores; Roberto Loaeza; Héctor Rodríguez; Erasmo Cadenas

2009-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast integration william" 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

A model for short term electric load forecasting  

E-Print Network [OSTI]

A MODEL FOR SHORT TERM ELECTRIC LOAD FORECASTING A Thesis by JOHN ROBERT TIGUE, III Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE May 1975 Major... Subject: Electrical Engineering A MODEL FOR SHORT TERM ELECTRIC LOAD FORECASTING A Thesis by JOHN ROBERT TIGUE& III Approved as to style and content by: (Chairman of Committee) (Head Depart t) (Member) ;(Me r (Member) (Member) May 1975 ABSTRACT...

Tigue, John Robert

1975-01-01T23:59:59.000Z

402

Radiation fog forecasting using a 1-dimensional model  

E-Print Network [OSTI]

measuring site (Molly Caren), the soil moisture measuring site (Wilmington), and (b) location of the forecast site (Ohio River Basin near Cincinnati including Lunken airport) . . 23 3 An example of a COBEL configuration file for 25 August 1996, showing... measuring site (Molly Caren), the soil moisture measuring site (Wilmington), and (b) location of the forecast site (Ohio River Basin near Cincinnati including Lunken airport) . . 23 3 An example of a COBEL configuration file for 25 August 1996, showing...

Peyraud, Lionel

2012-06-07T23:59:59.000Z

403

Data Acquisition-Manipulation At U.S. West Region (Williams ...  

Open Energy Info (EERE)

Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Data Acquisition-Manipulation At U.S. West Region (Williams & Deangelo, 2008) Exploration...

404

Annual Energy Outlook with Projections to 2025 - Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

Forecast Comparisons Forecast Comparisons Annual Energy Outlook 2005 Forecast Comparisons Table 32. Forecasts of annual average economic growth, 2003-2025 Printer Friendly Version Average annual percentage growth Forecast 2003-2009 2003-2014 2003-2025 AEO2004 3.5 3.2 3.0 AEO2005 Reference 3.4 3.3 3.1 Low growth 2.9 2.8 2.5 High growth 4.1 3.9 3.6 GII 3.4 3.2 3.1 OMB 3.6 NA NA CBO 3.5 3.1 NA OEF 3.5 3.5 NA Only one other organization—Global Insight, Incorporated (GII)—produces a comprehensive energy projection with a time horizon similar to that of AEO2005. Other organizations address one or more aspects of the energy markets. The most recent projection from GII, as well as other forecasts that concentrate on economic growth, international oil prices, energy

405

Weather-based forecasts of California crop yields  

SciTech Connect (OSTI)

Crop yield forecasts provide useful information to a range of users. Yields for several crops in California are currently forecast based on field surveys and farmer interviews, while for many crops official forecasts do not exist. As broad-scale crop yields are largely dependent on weather, measurements from existing meteorological stations have the potential to provide a reliable, timely, and cost-effective means to anticipate crop yields. We developed weather-based models of state-wide yields for 12 major California crops (wine grapes, lettuce, almonds, strawberries, table grapes, hay, oranges, cotton, tomatoes, walnuts, avocados, and pistachios), and tested their accuracy using cross-validation over the 1980-2003 period. Many crops were forecast with high accuracy, as judged by the percent of yield variation explained by the forecast, the number of yields with correctly predicted direction of yield change, or the number of yields with correctly predicted extreme yields. The most successfully modeled crop was almonds, with 81% of yield variance captured by the forecast. Predictions for most crops relied on weather measurements well before harvest time, allowing for lead times that were longer than existing procedures in many cases.

Lobell, D B; Cahill, K N; Field, C B

2005-09-26T23:59:59.000Z

406

Wave height forecasting in Dayyer, the Persian Gulf  

Science Journals Connector (OSTI)

Forecasting of wave parameters is necessary for many marine and coastal operations. Different forecasting methodologies have been developed using the wind and wave characteristics. In this paper, artificial neural network (ANN) as a robust data learning method is used to forecast the wave height for the next 3, 6, 12 and 24 h in the Persian Gulf. To determine the effective parameters, different models with various combinations of input parameters were considered. Parameters such as wind speed, direction and wave height of the previous 3 h, were found to be the best inputs. Furthermore, using the difference between wave and wind directions showed better performance. The results also indicated that if only the wind parameters are used as model inputs the accuracy of the forecasting increases as the time horizon increases up to 6 h. This can be due to the lower influence of previous wave heights on larger lead time forecasting and the existing lag between the wind and wave growth. It was also found that in short lead times, the forecasted wave heights primarily depend on the previous wave heights, while in larger lead times there is a greater dependence on previous wind speeds.

B. Kamranzad; A. Etemad-Shahidi; M.H. Kazeminezhad

2011-01-01T23:59:59.000Z

407

A hybrid procedure for MSW generation forecasting at multiple time scales in Xiamen City, China  

SciTech Connect (OSTI)

Highlights: ? We propose a hybrid model that combines seasonal SARIMA model and grey system theory. ? The model is robust at multiple time scales with the anticipated accuracy. ? At month-scale, the SARIMA model shows good representation for monthly MSW generation. ? At medium-term time scale, grey relational analysis could yield the MSW generation. ? At long-term time scale, GM (1, 1) provides a basic scenario of MSW generation. - Abstract: Accurate forecasting of municipal solid waste (MSW) generation is crucial and fundamental for the planning, operation and optimization of any MSW management system. Comprehensive information on waste generation for month-scale, medium-term and long-term time scales is especially needed, considering the necessity of MSW management upgrade facing many developing countries. Several existing models are available but of little use in forecasting MSW generation at multiple time scales. The goal of this study is to propose a hybrid model that combines the seasonal autoregressive integrated moving average (SARIMA) model and grey system theory to forecast MSW generation at multiple time scales without needing to consider other variables such as demographics and socioeconomic factors. To demonstrate its applicability, a case study of Xiamen City, China was performed. Results show that the model is robust enough to fit and forecast seasonal and annual dynamics of MSW generation at month-scale, medium- and long-term time scales with the desired accuracy. In the month-scale, MSW generation in Xiamen City will peak at 132.2 thousand tonnes in July 2015 – 1.5 times the volume in July 2010. In the medium term, annual MSW generation will increase to 1518.1 thousand tonnes by 2015 at an average growth rate of 10%. In the long term, a large volume of MSW will be output annually and will increase to 2486.3 thousand tonnes by 2020 – 2.5 times the value for 2010. The hybrid model proposed in this paper can enable decision makers to develop integrated policies and measures for waste management over the long term.

Xu, Lilai, E-mail: llxu@iue.ac.cn [Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, 1799 Jimei Road, Xiamen 361021 (China); Xiamen Key Lab of Urban Metabolism, Xiamen 361021 (China); Gao, Peiqing, E-mail: peiqing15@yahoo.com.cn [Xiamen City Appearance and Environmental Sanitation Management Office, 51 Hexiangxi Road, Xiamen 361004 (China); Cui, Shenghui, E-mail: shcui@iue.ac.cn [Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, 1799 Jimei Road, Xiamen 361021 (China); Xiamen Key Lab of Urban Metabolism, Xiamen 361021 (China); Liu, Chun, E-mail: xmhwlc@yahoo.com.cn [Xiamen City Appearance and Environmental Sanitation Management Office, 51 Hexiangxi Road, Xiamen 361004 (China)

2013-06-15T23:59:59.000Z

408

Comparison of Bottom-Up and Top-Down Forecasts: Vision Industry Energy Forecasts with ITEMS and NEMS  

E-Print Network [OSTI]

of the Department of Energy's Office of Industrial Technologies, EIA extracted energy use infonnation from the Annual Energy Outlook (AEO) - 2000 (8) for each of the seven # The Pacific Northwest National Laboratory is operated by Battelle Memorial Institute...-6, 2000 NEMS The NEMS industrial module is the official forecasting model for EIA and thus the Department of Energy. For this reason, the energy prices and output forecasts used to drive the ITEMS model were taken from EIA's AEO 2000. Understanding...

Roop, J. M.; Dahowski, R. T

409

William Blake's Laocoon: The Genealogy of a Form  

E-Print Network [OSTI]

Robert. La Salle du Laocoön, c. 1803-05. Oil on canvas. 645 x 805 cm. Pavlovsk Palace, Pavlovsk. 2-19 Hubert Robert. La Salle des Saisons, c. 1802-03. Oil on canvas, 38 x 46 cm. Musée du Louvre, Paris. 2-20 Benjamin Zix. L.... Elohim Creating Adam, c. 1795-1805. Color print finished in ink and watercolor on paper, 53.6 x 43.1 cm. Tate Gallery, London. #0;? #0;? #0;? 3-1 William Blake. Sir Jeffery Chaucer and the nine and twenty Pilgrims on their journey...

McCarthy, Erik

2008-01-11T23:59:59.000Z

410

Applications of computer modeling at Wrightson, Johnson, Haddon & Williams, Inc  

Science Journals Connector (OSTI)

Computer modeling has become useful as an investigative tool and as a client communication and explanation tool in the field of acoustical consulting. A variety of in?house developed and commercially available applications is in constant use at the firm of Wrightson Johnson Haddon & Williams. Examples likely to be demonstrated (depending on time) include use of digital filtering for building exterior noise reduction comparisons a shell isolation rating (SIR) model simple sound barrier programs an HVAC spreadsheet a visual sightline modeling tool specular sound reflections in a semicircular arc and some uses of CATT?acoustic auralizations.

2002-01-01T23:59:59.000Z

411

After the 1950's: Looking Back at William Inge  

E-Print Network [OSTI]

that there is an Aaron Copeland quality to Inge’s plays – a lyrical (45) sadness (with overtones of “Moonglow”?). Without fanfare or hyperbole, typical of his style as a man and playwright (he dressed and spoke plainly), William Inge had told me something sad, wise... at the center of his plays.] And of equal, if not greater importance, Rubin has no place to go. He is a “harness” salesman (229) in the age of the automobile. “Raised on a ranch,” he is a son of the West. A son of pioneers, he is “a stranger in the very land...

Wolf, Howard R.

2010-04-21T23:59:59.000Z

412

A suite of metrics for assessing the performance of solar power forecasting  

Science Journals Connector (OSTI)

Abstract Forecasting solar energy generation is a challenging task because of the variety of solar power systems and weather regimes encountered. Inaccurate forecasts can result in substantial economic losses and power system reliability issues. One of the key challenges is the unavailability of a consistent and robust set of metrics to measure the accuracy of a solar forecast. This paper presents a suite of generally applicable and value-based metrics for solar forecasting for a comprehensive set of scenarios (i.e., different time horizons, geographic locations, and applications) that were developed as part of the U.S. Department of Energy SunShot Initiative’s efforts to improve the accuracy of solar forecasting. In addition, a comprehensive framework is developed to analyze the sensitivity of the proposed metrics to three types of solar forecasting improvements using a design-of-experiments methodology in conjunction with response surface, sensitivity analysis, and nonparametric statistical testing methods. The three types of forecasting improvements are (i) uniform forecasting improvements when there is not a ramp, (ii) ramp forecasting magnitude improvements, and (iii) ramp forecasting threshold changes. Day-ahead and 1-hour-ahead forecasts for both simulated and actual solar power plants are analyzed. The results show that the proposed metrics can efficiently evaluate the quality of solar forecasts and assess the economic and reliability impacts of improved solar forecasting. Sensitivity analysis results show that (i) all proposed metrics are suitable to show the changes in the accuracy of solar forecasts with uniform forecasting improvements, and (ii) the metrics of skewness, kurtosis, and Rényi entropy are specifically suitable to show the changes in the accuracy of solar forecasts with ramp forecasting improvements and a ramp forecasting threshold.

Jie Zhang; Anthony Florita; Bri-Mathias Hodge; Siyuan Lu; Hendrik F. Hamann; Venkat Banunarayanan; Anna M. Brockway

2015-01-01T23:59:59.000Z

413

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Oil Markets Oil Markets IEO2005 projects that world crude oil prices in real 2003 dollars will decline from their current level by 2010, then rise gradually through 2025. In the International Energy Outlook 2005 (IEO2005) reference case, world demand for crude oil grows from 78 million barrels per day in 2002 to 103 million barrels per day in 2015 and to just over 119 million barrels per day in 2025. Much of the growth in oil consumption is projected for the emerging Asian nations, where strong economic growth results in a robust increase in oil demand. Emerging Asia (including China and India) accounts for 45 percent of the total world increase in oil use over the forecast period in the IEO2005 reference case. The projected increase in world oil demand would require an increment to world production capability of more than 42 million barrels per day relative to the 2002 crude oil production capacity of 80.0 million barrels per day. Producers in the Organization of Petroleum Exporting Countries (OPEC) are expected to be the major source of production increases. In addition, non-OPEC supply is expected to remain highly competitive, with major increments to supply coming from offshore resources, especially in the Caspian Basin, Latin America, and deepwater West Africa. The estimates of incremental production are based on current proved reserves and a country-by-country assessment of ultimately recoverable petroleum. In the IEO2005 oil price cases, the substantial investment capital required to produce the incremental volumes is assumed to exist, and the investors are expected to receive at least a 10-percent return on investment.

414

Research by Bureaucracy: Hattie Plum Williams and the National Commission on Law Observance and Enforcement, 1929-1931  

E-Print Network [OSTI]

This paper explores the bureaucratized research activities (1929-1931) of the National Commission on Law Observance and Enforcement (NCLOE) from the perspective of Hattie Plum Williams' sociobiographical experience. Williams ...

Hill, Michael R.

1988-01-01T23:59:59.000Z

415

Curriculum Vitae: William P. Abbett B. S., 1991 (With Honor), Mathematics Michigan State University  

E-Print Network [OSTI]

Curriculum Vitae: William P. Abbett Education: B. S., 1991 (With Honor), Mathematics Michigan State University Ph. D., 1998, Physics, Michigan State University Experience: Dr. William P. Abbett is an associate between magnetic fields existing below the visible surface of the Sun, and those observed in the solar

Abbett, Bill

416

Grant Title: WILLIAM T. GRANT INVESTIGATOR INITIATED GRANTS Funding Opportunity Number: N/A  

E-Print Network [OSTI]

Grant Title: WILLIAM T. GRANT INVESTIGATOR INITIATED GRANTS Funding Opportunity Number: N/A Agency/Department: William T. Grant Foundation. Area of Research: The Foundation supports high-quality research January, early April, and early September for investigator-initiated research grants. Amount: The amount

Farritor, Shane

417

C.K. Harris Page 1 of 19 Full Curriculum Vitae COLLEGE OF WILLIAM AND MARY  

E-Print Network [OSTI]

C.K. Harris Page 1 of 19 Full Curriculum Vitae COLLEGE OF WILLIAM AND MARY Curriculum Vitae Standard Format PERSONAL INFORMATION 1. Name: Courtney Kay Harris Date: February, 2008 Office Address.K. Harris C.V., College of William and Mary Page 2 of 19 1984 Inducted into Tau Beta Pi, the Engineering

Harris, Courtney K.

418

Large deviations and martingales for a typed branching diffusion, 1 Simon C Harris and David Williams  

E-Print Network [OSTI]

Large deviations and martingales for a typed branching diffusion, 1 by Simon C Harris and David are rather complicated; and these are only sketched here ­ see Harris (1995) and Harris and Williams (1995 for a simpler problem in Champneys, Harris, Toland, Warren and Williams (1995); in the present context

Harris, Simon Colin

419

A classical dataset from Williams, and its role in the study of supersaturated designs.  

E-Print Network [OSTI]

A classical dataset from Williams, and its role in the study of supersaturated designs. Rolf Sundberg April 29, 2008 Abstract A Plackett­Burman type dataset from a paper by Williams (1968), with 28 observations and 24 two-level factors, has become a standard dataset for illustrating construction (by halving

Sundberg, Rolf

420

Survey of Variable Generation Forecasting in the West: August 2011 - June 2012  

SciTech Connect (OSTI)

This report surveyed Western Interconnection Balancing Authorities regarding their implementation of variable generation forecasting, the lessons learned to date, and recommendations they would offer to other Balancing Authorities who are considering variable generation forecasting. Our survey found that variable generation forecasting is at an early implementation stage in the West. Eight of the eleven Balancing Authorities interviewed began forecasting in 2008 or later. It also appears that less than one-half of the Balancing Authorities in the West are currently utilizing variable generation forecasting, suggesting that more Balancing Authorities in the West will engage in variable generation forecasting should more variable generation capacity be added.

Porter, K.; Rogers, J.

2012-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast integration william" 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

Energy management program: Prince William County Public Schools Manassas, Virginia  

SciTech Connect (OSTI)

Prince William County, Virginia, is located some 25 miles southwest of Washington, D.C. The Prince William County Public School (PWCPS) system includes sixty-four schools (46 elementary schools, 11 middle schools, 7 high schools). Nine schools were built prior to 1960, thirty-eight during the 60s and 70s, and the balance since 1980. Additionally, there are two administrative and support facilities. Total square footage is approximately 5.6 million square feet. Approximately 5,700 employees, including instructors, serve some 46,000 students. The school system`s Capital Improvements Plan (CIP) calls for the construction of eleven new schools over the next five years. Enrollment is expected to grow at a rate of 1,000 per year for the next several years. The school division is served by three (3) electric utilities, two (2) natural gas and one (1) LP gas supplier, one (1) heating oil supplier, three (3) water and three (3) sewer companies. Utility expenditures have risen steadily over the years. From fiscal year 1990 through fiscal year 1994 these expenditures rose from 6.7 million dollars to 8.4 million dollars, a 25% increase. Utility costs are projected to rise an additional 28% ($2.6M) through fiscal year 1999.

Colbert, G.T.; McTighe, S.F.

1996-05-01T23:59:59.000Z

422

A model for Long-term Industrial Energy Forecasting (LIEF)  

SciTech Connect (OSTI)

The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model's parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

Ross, M. (Lawrence Berkeley Lab., CA (United States) Michigan Univ., Ann Arbor, MI (United States). Dept. of Physics Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.); Hwang, R. (Lawrence Berkeley Lab., CA (United States))

1992-02-01T23:59:59.000Z

423

A model for Long-term Industrial Energy Forecasting (LIEF)  

SciTech Connect (OSTI)

The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model`s parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

Ross, M. [Lawrence Berkeley Lab., CA (United States)]|[Michigan Univ., Ann Arbor, MI (United States). Dept. of Physics]|[Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.; Hwang, R. [Lawrence Berkeley Lab., CA (United States)

1992-02-01T23:59:59.000Z

424

VBH-0079 - In the Matter of William Cor | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

VBH-0079 - In the Matter of William Cor VBH-0079 - In the Matter of William Cor VBH-0079 - In the Matter of William Cor This Decision involves a whistleblower complaint filed by William Cor under the Department of Energy's (DOE) Contractor Employee Protection Program. From August 1998 to September 2001, Mr. Cor was employed as a glovebox systems engineer at Los Alamos National Laboratory (LANL), one of three national laboratories operated by the University of California (UC) for the DOE. Mr. Cor alleges that LANL management retaliated against him for activity protected under the DOE Contractor Employee Protection Program. vbh0079.pdf More Documents & Publications TBU-0045 - In the Matter of William Cor TBH-0111 - In the Matter of Eugene N. Kilmer TBZ-0111 - IN THE MATTER OF EUGENE N. KILMER

425

Numerical Simulation of 2010 Pakistan Flood in the Kabul River Basin by Using Lagged Ensemble Rainfall Forecasting  

Science Journals Connector (OSTI)

Lagged ensemble forecasting of rainfall and rainfall–runoff–inundation (RRI) forecasting were applied to the devastating flood in the Kabul River basin, the first strike of the 2010 Pakistan flood. The forecasts were performed using the Global ...

Tomoki Ushiyama; Takahiro Sayama; Yuya Tatebe; Susumu Fujioka; Kazuhiko Fukami

2014-02-01T23:59:59.000Z

426

1146 IEEE JOURNAL OF QUANTUM ELECTRONICS, VOL. 35, NO. 8, AUGUST 1999 Three-Dimensional Integrated Optics Using Polymers  

E-Print Network [OSTI]

Optics Using Polymers Sean M. Garner, Sang-Shin Lee, Vadim Chuyanov, Antao Chen, Araz Yacoubian, William-dimensional (3-D) optical integrated circuits possible using polymers. Fabrication techniques of shadow reactive integrated optic structures are demonstrated. Vertical waveguide bends exhibit excess losses of

427

Lessons from Large-Scale Renewable Energy Integration Studies: Preprint  

SciTech Connect (OSTI)

In general, large-scale integration studies in Europe and the United States find that high penetrations of renewable generation are technically feasible with operational changes and increased access to transmission. This paper describes other key findings such as the need for fast markets, large balancing areas, system flexibility, and the use of advanced forecasting.

Bird, L.; Milligan, M.

2012-06-01T23:59:59.000Z

428

Expert Panel: Forecast Future Demand for Medical Isotopes | Department of  

Broader source: Energy.gov (indexed) [DOE]

Expert Panel: Forecast Future Demand for Medical Isotopes Expert Panel: Forecast Future Demand for Medical Isotopes Expert Panel: Forecast Future Demand for Medical Isotopes The Expert Panel has concluded that the Department of Energy and National Institutes of Health must develop the capability to produce a diverse supply of radioisotopes for medical use in quantities sufficient to support research and clinical activities. Such a capability would prevent shortages of isotopes, reduce American dependence on foreign radionuclide sources and stimulate biomedical research. The expert panel recommends that the U.S. government build this capability around either a reactor, an accelerator or a combination of both technologies as long as isotopes for clinical and research applications can be supplied reliably, with diversity in adequate

429

Application of GIS on forecasting water disaster in coal mines  

SciTech Connect (OSTI)

In many coal mines of China, water disasters occur very frequently. It is the most important problem that water gets inrush into drifts and coal faces, locally known as water gush, during extraction and excavation. Its occurrence is controlled by many factors such as geological, hydrogeological and mining technical conditions, and very difficult to be predicted and prevented by traditional methods. By making use of overlay analysis of Geographic Information System, a multi-factor model can be built to forecast the potential of water gush. This paper introduced the method of establishment of the water disaster forecasting system and forecasting model and two practical successful cases of application in Jiaozuo and Yinzhuang coal mines. The GIS proved helpful for ensuring the safety of coal mines.

Sun Yajun; Jiang Dong; Ji Jingxian [China Univ. of Mining and Technology, Jiangshy (China)] [and others

1996-08-01T23:59:59.000Z

430

NREL: Energy Analysis - Energy Forecasting and Modeling Staff  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Energy Forecasting and Modeling Energy Forecasting and Modeling The following includes summary bios of staff expertise and interests in analysis relating to energy economics, energy system planning, risk and uncertainty modeling, and energy infrastructure planning. Team Lead: Nate Blair Administrative Support: Geraly Amador Clayton Barrows Greg Brinkman Brian W Bush Stuart Cohen Carolyn Davidson Paul Denholm Victor Diakov Aron Dobos Easan Drury Kelly Eurek Janine Freeman Marissa Hummon Jennie Jorganson Jordan Macknick Trieu Mai David Mulcahy David Palchak Ben Sigrin Daniel Steinberg Patrick Sullivan Aaron Townsend Laura Vimmerstedt Andrew Weekley Owen Zinaman Photo of Clayton Barrows. Clayton Barrows Postdoctoral Researcher Areas of expertise Power system modeling Primary research interests Power and energy systems

431

Conceptual design of a geothermal site development forecasting system  

SciTech Connect (OSTI)

A site development forecasting system has been designed in response to the need to monitor and forecast the development of specific geothermal resource sites for electrical power generation and direct heat applications. The system is comprised of customized software, a site development status data base, and a set of complex geothermal project development schedules. The system would use site-specific development status information obtained from the Geothermal Progress Monitor and other data derived from economic and market penetration studies to produce reports on the rates of geothermal energy development, federal agency manpower requirements to ensure these developments, and capital expenditures and technical/laborer manpower required to achieve these developments.

Neham, E.A.; Entingh, D.J.

1980-03-01T23:59:59.000Z

432

CCPP-ARM Parameterization Testbed Model Forecast Data  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Dataset contains the NCAR CAM3 (Collins et al., 2004) and GFDL AM2 (GFDL GAMDT, 2004) forecast data at locations close to the ARM research sites. These data are generated from a series of multi-day forecasts in which both CAM3 and AM2 are initialized at 00Z every day with the ECMWF reanalysis data (ERA-40), for the year 1997 and 2000 and initialized with both the NASA DAO Reanalyses and the NCEP GDAS data for the year 2004. The DOE CCPP-ARM Parameterization Testbed (CAPT) project assesses climate models using numerical weather prediction techniques in conjunction with high quality field measurements (e.g. ARM data).

Klein, Stephen

433

Forecast of contracting and subcontracting opportunities. Fiscal year 1996  

SciTech Connect (OSTI)

This forecast of prime and subcontracting opportunities with the U.S. Department of Energy and its MAO contractors and environmental restoration and waste management contractors, is the Department`s best estimate of small, small disadvantaged and women-owned small business procurement opportunities for fiscal year 1996. The information contained in the forecast is published in accordance with Public Law 100-656. It is not an invitation for bids, a request for proposals, or a commitment by DOE to purchase products or services. Each procurement opportunity is based on the best information available at the time of publication and may be revised or cancelled.

NONE

1996-02-01T23:59:59.000Z

434

Sales forecasting strategies for small businesses: an empirical investigation of statistical and judgemental methods  

Science Journals Connector (OSTI)

This study evolved from the mixed results shown in the reviewed forecasting literature and from the lack of sufficient forecasting research dealing with micro data. The main purpose of this study is to investigate and compare the accuracy of different quantitative and qualitative forecasting techniques, and to recommend a forecasting strategy for small businesses. Emphasis is placed on the testing of combining as a tool to improve forecasting accuracy. Of particular interest is whether combining time series and judgemental forecasts provides more accurate results than individual methods. A case study of a small business was used for this purpose to assess the accuracy and applicability of combining forecasts. The evidence indicates that combining qualitative and quantitative methods results in better and improved forecasts.

Imad J. Zbib

2006-01-01T23:59:59.000Z

435

Distributed quantitative precipitation forecasts combining information from radar and numerical weather prediction model outputs  

E-Print Network [OSTI]

Applications of distributed Quantitative Precipitation Forecasts (QPF) range from flood forecasting to transportation. Obtaining QPF is acknowledged to be one of the most challenging areas in hydrology and meteorology. ...

Ganguly, Auroop Ratan

2002-01-01T23:59:59.000Z

436

A Comparison of Measures-Oriented and Distributions-Oriented Approaches to Forecast Verification  

Science Journals Connector (OSTI)

The authors have carried out verification of 590 12–24-h high-temperature forecasts from numerical guidance products and human forecasters for Oklahoma City, Oklahoma, using both a measures-oriented verification scheme and a distributions-...

Harold E. Brooks; Charles A. Doswell III

1996-09-01T23:59:59.000Z

437

Correspondence among the Correlation, RMSE, and Heidke Forecast Verification Measures; Refinement of the Heidke Score  

Science Journals Connector (OSTI)

The correspondence among the following three forecast verification scores, based on forecasts and their associated observations, is described: 1) the correlation score, 2) the root-mean-square error (RMSE) score, and 3) the Heidke score (based on ...

Anthony G. Barnston

1992-12-01T23:59:59.000Z

438

Improving Seasonal Forecast Skill of North American Surface Air Temperature in Fall Using a Postprocessing Method  

Science Journals Connector (OSTI)

A statistical postprocessing approach is applied to seasonal forecasts of surface air temperatures (SAT) over North America in fall, when the original uncalibrated predictions have little skill. The data used are ensemble-mean seasonal forecasts ...

XiaoJing Jia; Hai Lin; Jacques Derome

2010-05-01T23:59:59.000Z

439

Computing electricity spot price prediction intervals using quantile regression and forecast averaging  

Science Journals Connector (OSTI)

We examine possible accuracy gains from forecast averaging in the context of interval forecasts of electricity spot prices. First, we test whether constructing empirical prediction intervals (PI) from combined electricity

Jakub Nowotarski; Rafa? Weron

2014-08-01T23:59:59.000Z

440

Medium-term forecasting of demand prices on example of electricity prices for industry  

Science Journals Connector (OSTI)

In the paper, a method of forecasting demand prices for electric energy for the industry has been suggested. An algorithm of the forecast for 2006–2010 based on the data for 1997–2005 has been presented.

V. V. Kossov

2014-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast integration william" 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

Price Forecasting and Optimal Operation of Wholesale Customers in a Competitive Electricity Market.  

E-Print Network [OSTI]

??This thesis addresses two main issues: first, forecasting short-term electricity market prices; and second, the application of short-term electricity market price forecasts to operation planning… (more)

Zareipour, Hamidreza

2006-01-01T23:59:59.000Z

442

Impacts of Improved Day-Ahead Wind Forecasts on Power Grid Operations: September 2011  

SciTech Connect (OSTI)

This study analyzed the potential benefits of improving the accuracy (reducing the error) of day-ahead wind forecasts on power system operations, assuming that wind forecasts were used for day ahead security constrained unit commitment.

Piwko, R.; Jordan, G.

2011-11-01T23:59:59.000Z

443

Combining Multi Wavelet and Multi NN for Power Systems Load Forecasting  

Science Journals Connector (OSTI)

In the paper, two pre-processing methods for load forecast sampling data including multiwavelet transformation and chaotic time series ... introduced. In addition, multi neural network for load forecast including...

Zhigang Liu; Qi Wang; Yajun Zhang

2008-01-01T23:59:59.000Z

444

Application of the Stretched Exponential Production Decline Model to Forecast Production in Shale Gas Reservoirs  

E-Print Network [OSTI]

Production forecasting in shale (ultra-low permeability) gas reservoirs is of great interest due to the advent of multi-stage fracturing and horizontal drilling. The well renowned production forecasting model, Arps? Hyperbolic Decline Model...

Statton, James Cody

2012-07-16T23:59:59.000Z

445

E-Print Network 3.0 - air pollution forecast Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

forecast Search Powered by Explorit Topic List Advanced Search Sample search results for: air pollution forecast Page: << < 1 2 3 4 5 > >> 1 DISCOVER-AQ Outlook for Wednesay, July...

446

Evaluation of numerical weather prediction for intra-day solar forecasting in the continental United States  

E-Print Network [OSTI]

and validation.   Solar Energy.   73:5, 307? Perez, R. , irradiance forecasts for solar energy applications based on forecast database.   Solar Energy.   81:6, 809?812.  

Mathiesen, Patrick; Kleissl, Jan

2011-01-01T23:59:59.000Z

447

A WRF Ensemble for Improved Wind Speed Forecasts at Turbine Height  

Science Journals Connector (OSTI)

The Weather Research and Forecasting Model (WRF) with 10-km horizontal grid spacing was used to explore improvements in wind speed forecasts at a typical wind turbine hub height (80 m). An ensemble consisting of WRF model simulations with ...

Adam J. Deppe; William A. Gallus Jr.; Eugene S. Takle

2013-02-01T23:59:59.000Z

448

Improving the forecasting function for a Credit Hire operator in the UK  

Science Journals Connector (OSTI)

This study aims to test on the predictability of Credit Hire services for the automobile and insurance industry. A relatively sophisticated time series forecasting procedure, which conducts a competition among exponential smoothing models, is employed to forecast demand for a leading UK Credit Hire operator (CHO). The generated forecasts are compared against the Naive method, resulting that demand for CHO services is indeed extremely hard to forecast, as the underlying variable is the number of road accidents – a truly stochastic variable.

Nicolas D. Savio; K. Nikolopoulos; Konstantinos Bozos

2009-01-01T23:59:59.000Z

449

Central Wind Power Forecasting Programs in North America by Regional Transmission Organizations and Electric Utilities  

SciTech Connect (OSTI)

The report addresses the implementation of central wind power forecasting by electric utilities and regional transmission organizations in North America.

Porter, K.; Rogers, J.

2009-12-01T23:59:59.000Z

450

Technology data characterizing space conditioning in commercial buildings: Application to end-use forecasting with COMMEND 4.0  

SciTech Connect (OSTI)

In the US, energy consumption is increasing most rapidly in the commercial sector. Consequently, the commercial sector is becoming an increasingly important target for state and federal energy policies and also for utility-sponsored demand side management (DSM) programs. The rapid growth in commercial-sector energy consumption also makes it important for analysts working on energy policy and DSM issues to have access to energy end-use forecasting models that include more detailed representations of energy-using technologies in the commercial sector. These new forecasting models disaggregate energy consumption not only by fuel type, end use, and building type, but also by specific technology. The disaggregation of space conditioning end uses in terms of specific technologies is complicated by several factors. First, the number of configurations of heating, ventilating, and air conditioning (HVAC) systems and heating and cooling plants is very large. Second, the properties of the building envelope are an integral part of a building`s HVAC energy consumption characteristics. Third, the characteristics of commercial buildings vary greatly by building type. The Electric Power Research Institute`s (EPRI`s) Commercial End-Use Planning System (COMMEND 4.0) and the associated data development presented in this report attempt to address the above complications and create a consistent forecasting framework. This report describes the process by which the authors collected space-conditioning technology data and then mapped it into the COMMEND 4.0 input format. The data are also generally applicable to other end-use forecasting frameworks for the commercial sector.

Sezgen, O.; Franconi, E.M.; Koomey, J.G.; Greenberg, S.E.; Afzal, A.; Shown, L.

1995-12-01T23:59:59.000Z

451

VERIFICATION SURVEY OF THE BAKER AND WILLIAMS WAREHOUSES  

Office of Legacy Management (LM)

~ *-,-' .r_~, ~ *-,-' .r_~, VERIFICATION SURVEY OF THE BAKER AND WILLIAMS WAREHOUSES BUILDING 513-519 NEW YORK, NEW YORK Prepared by W. C. Adams Environmental Survey and Site Assessment Program Energy/Environment Systems Division Oak Ridge Institute for Science and Education Oak Ridge, Tennessee 37831-0117 Prepared for the Office of Environmental Restoration U.S. Department of Energy FINAL REPORT JUNE 1994 This report is based on work performed under contract number DE-AC05-760R00033 with the U.S. Department of Energy. Baker arId Wi,,iMI Wsrchouwl-Vcrification June 28, ,994 - ,I I_ ..I .- VERIFICATION SURVEY OF THE BAKER AND W ILLIAMS WAREHOUSES BUILDING 513-519 NEW YORK, NEW YORK Prepared by: ' J .,,,~ ' . W . C. Adams, Project Leader Date: Environmental Survey and Site Assessment Program

452

Participants: William Naughton, COHMED Bill Sherman, NE HLRW Task Force  

Broader source: Energy.gov (indexed) [DOE]

conference call May 27, 1998 conference call May 27, 1998 Participants: William Naughton, COHMED Bill Sherman, NE HLRW Task Force Bob Fronczak, AAR Mike Butler, UETC Ray English, DOE-NR George Ruberg, UETC Kevin Blackwell, FRA Markus Popa, DOE-RW Sandy Covi, UP The Rail Topic Group is currently in a transitional mode, moving simultaneously toward closure of the two rail information matrices, Comparison of CVSA Recommended National Procedures and Out-Of-Service Criteria for the Enhanced Safety Inspection of Commercial Highway Vehicles Transporting Transuranics, Spent Nuclear Fuel, and High Level Waste to Rail Inspection Standards, and Rail and Highway Regulations Relative to the Transportation of Radioactive Materials and their Applicability to States, Tribes, Shippers, and Carriers, (both

453

Oral Histories: Health Physicist William J. Bair, Ph.D.  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 3 HUMAN RADIATION STUDIES: REMEMBERING THE EARLY YEARS Oral History of Health Physicist William J. Bair, Ph.D. Conducted October 14, 1994 United States Department of Energy Office of Human Radiation Experiments June 1995 CONTENTS Foreword Short Biography Graduate Studies at University of Rochester AEC-Funded Research at University of Rochester Use of Human Subjects at University of Rochester AEC Direction of University of Rochester Research Contacts With Researchers Into Radiation Effects No Knowledge of Uranium Injections at Rochester Beginning a Career at Hanford Radionuclide Inhalation Studies at Hanford Use of Animals in Radiation Studies Identifying Health Effects of Inhaled Radionuclides Expanded Customer Base for Inhalation Studies Limited Involvement With Human Studies

454

CHARACTERIZATION SURVEY OF THE BAKER AND WILLIAMS WAREHOUSES  

Office of Legacy Management (LM)

CHARACTERIZATION SURVEY CHARACTERIZATION SURVEY OF THE BAKER AND WILLIAMS WAREHOUSES BUILDING 513-519 NEW YORK, NEW YORK Prepared by W. C. Adams Environmental Survey and Site Assessment Program Energy/Environment System Division Oak Ridge Institute for Science and Education Oak Ridge, Tennessee 37831-0117 Prepared for the Office of Environmental Restoration U.S. Department of Energy FINAL REPORT DECEMBER 1993 This report is based on work performed under contract number DE-AC05-760R00033 with the U.S. Department of Energy. .- .- .- CHARACTERIZATION SURVEY OF THE BAKER AND W ILLIAMS WAREHOUSES BUILDING 513419 NEW YORK, NEW YORK Prepared by: Date: W . C. Adams, Project Leader i L!J!?J Environmental Survey and Site Assessment Program Reviewed by: W . L. Beck, Acting Laboratory Manager

455

Mr. William R. Augustine Deputy Chief Programs Management Division  

Office of Legacy Management (LM)

)N i-i 5 - "i )N i-i 5 - "i Department of Energy Washington, DC 20585 Mr. William R. Augustine Deputy Chief Programs Management Division U.S. Army Corps of Engineers Department of the Army Washington, D. C. 203 14- 1000 -' . UC-i -, :? . -0' /, \ ._ ' .;' Dear Mr. Augustine: I am writing to you as a follow-up to discussions our staffs have had regarding two former Department of the Army facilities in the Formerly Used Defense Sites (FUDS) program where the former Atomic Energy Commission (AEC) also conducted activities. These sites are the former Marion Engineer Depot and the former Scioto Ordnance Plant, both just outside of Marion, Ohio. The Department of Energy (DOE) has records relating to both of these facilities. Since there has been public concern regarding the possibility of residual radioactivity at

456

Designation Survey - Palmerton, Pa. Ore Storage Site William Bibb  

Office of Legacy Management (LM)

Designation Survey - Palmerton, Pa. Ore Storage Site Designation Survey - Palmerton, Pa. Ore Storage Site William Bibb Oak Ridge Operations Office Based on the information furnished in Aerospace's Review of the.subject site (Attachment 1) and the ORKL/RASA (Attachment 2), it Is requested that designation survey of the Palmerton Ore Storage Pennsylvania. The survey should be detailed to and subsurface data to make up for the lack of the previous AEC surveys and in keeping with ORNL/RASA group should furnish a draft survey approval prior to conducting any survey activities. If there are any questions, please call Edward DeLaney 04 FTS 253-4716. Arthur J. Whitman / '/ Division of Facility and Site ' Deconrnissioning P,rojects Office of Nuclear Energy : 2 Attachments I bee: I E. Keller, OR, w/attachs:

457

Combination of Long Term and Short Term Forecasts, with Application to Tourism  

E-Print Network [OSTI]

Combination of Long Term and Short Term Forecasts, with Application to Tourism Demand Forecasting that are combined. As a case study, we consider the problem of forecasting monthly tourism numbers for inbound tourism to Egypt. Specifically, we con- sider 33 source countries, as well as the aggregate. The novel

Abu-Mostafa, Yaser S.

458

COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM AUGUST 3 AUGUST 16, 2012  

E-Print Network [OSTI]

there is significant uncertainty in its future intensity, the current forecast is for a slowly strengthening TC which, 3) forecast output from global models, 4) the current and projected state of the Madden with these two-week forecasts is the Accumulated Cyclone Energy (ACE) index, which is defined to be all

Gray, William

459

VALIDATION OF SHORT AND MEDIUM TERM OPERATIONAL SOLAR RADIATION FORECASTS IN THE US  

E-Print Network [OSTI]

, and medium term forecasts (up to seven days ahead) from numerical weather prediction models [1]. Forecasts radiation forecasting. One approach relies on numerical weather prediction (NWP) models which can be global modeling of the atmosphere. NWP models cannot, at this stage of their development, predict the exact

Perez, Richard R.

460

Products and Service of Center for Weather Forecast and Climate Studies  

E-Print Network [OSTI]

) Seasonal Climate Forecast (1-6 months) #12;Weather Forecast Weather Bulletin PCD SCD1 SCD2 SX6 SatelliteLOG O Products and Service of Center for Weather Forecast and Climate Studies Simone Sievert da AND DEVELOP. DIVISION SATELLITE DIVISION ENVIROM. SYSTEM OPERATIONAL DIVISION CPTEC/INPE Msc / PHD &TRAINING

Note: This page contains sample records for the topic "forecast integration william" 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

Lessons from Deploying NLG Technology for Marine Weather Forecast Text Generation  

E-Print Network [OSTI]

model along with other sources of weather data such as satellite pictures and their own forecastingLessons from Deploying NLG Technology for Marine Weather Forecast Text Generation Somayajulu G Language Generation (NLG) system that produces textual weather forecasts for offshore oilrigs from

Sripada, Yaji

462

Ensemble-based air quality forecasts: A multimodel approach applied to ozone  

E-Print Network [OSTI]

Ensemble-based air quality forecasts: A multimodel approach applied to ozone Vivien Mallet1., and B. Sportisse (2006), Ensemble-based air quality forecasts: A multimodel approach applied to ozone, J, the uncertainty in chem- istry transport models is a major limitation of air quality forecasting. The source

Boyer, Edmond

463

NREL: Transmission Grid Integration - Research Staff  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Research Staff Research Staff NREL's transmission grid integration research staff work to incorporate renewable energy into the transmission system primarily through NREL's Power Systems Engineering Center. Photo of Barbara O'Neill Barbara O'Neill, Transmission and Grid Integration Group Manager M.S., Energy Management and Policy, University of Pennsylvania Engineering Diploma, Petroleum Economics and Management, French Institute of Petroleum B.S., Electrical Engineering, Pratt Institute Barbara has a diverse background with expertise in such fields as wind and solar project development, energy forecasting, renewable energy power purchase agreements, interconnection issues, market structures, and stakeholder engagement. Barbara currently manages the Transmission and Grid

464

Integrating Variable Renewable Energy: Challenges and Solutions  

SciTech Connect (OSTI)

In the U.S., a number of utilities are adopting higher penetrations of renewables, driven in part by state policies. While power systems have been designed to handle the variable nature of loads, the additional supply-side variability and uncertainty can pose new challenges for utilities and system operators. However, a variety of operational and technical solutions exist to help integrate higher penetrations of wind and solar generation. This paper explores renewable energy integration challenges and mitigation strategies that have been implemented in the U.S. and internationally, including forecasting, demand response, flexible generation, larger balancing areas or balancing area cooperation, and operational practices such as fast scheduling and dispatch.

Bird, L.; Milligan, M.; Lew, D.

2013-09-01T23:59:59.000Z

465

The Climate Sensitivity of the Community Climate System Model Version 3 (CCSM3) JEFFREY T. KIEHL, CHRISTINE A. SHIELDS, JAMES J. HACK, AND WILLIAM D. COLLINS  

E-Print Network [OSTI]

, CHRISTINE A. SHIELDS, JAMES J. HACK, AND WILLIAM D. COLLINS National Center for Atmospheric Research

Bretherton, Chris

467

Does Money Matter in Inflation Forecasting? JM Binner 1  

E-Print Network [OSTI]

1 Does Money Matter in Inflation Forecasting? JM Binner 1 P Tino 2 J Tepper 3 R Anderson4 B Jones 5 range of different definitions of money, including different methods of aggregation and different that there exists a long-run relationship between the growth rate of the money supply and the growth rate of prices

Tino, Peter

468

Detecting and Forecasting Economic Regimes in Automated Exchanges  

E-Print Network [OSTI]

, such as over- supply or scarcity, from historical data using computational methods to construct price density. The agent can use this information to make both tactical decisions such as pricing and strategic decisions historical data and identified from observable data. We outline how to identify regimes and forecast regime

Ketter, Wolfgang

469

Forecasting Market Demand for New Telecommunications Services: An Introduction  

E-Print Network [OSTI]

Forecasting Market Demand for New Telecommunications Services: An Introduction Peter Mc, 2000 Abstract The marketing team of a new telecommunications company is usually tasked with producing involved in doing so. Based on our three decades of experience working with telecommunications operators

Parsons, Simon

470

SOLAR IRRADIANCE FORECASTING FOR THE MANAGEMENT OF SOLAR ENERGY SYSTEMS  

E-Print Network [OSTI]

SOLAR IRRADIANCE FORECASTING FOR THE MANAGEMENT OF SOLAR ENERGY SYSTEMS Detlev Heinemann Oldenburg.girodo@uni-oldenburg.de ABSTRACT Solar energy is expected to contribute major shares of the future global energy supply. Due to its and solar energy conversion processes has to account for this behaviour in respective operating strategies

Heinemann, Detlev

471

Short-Term Solar Energy Forecasting Using Wireless Sensor Networks  

E-Print Network [OSTI]

Short-Term Solar Energy Forecasting Using Wireless Sensor Networks Stefan Achleitner, Tao Liu an advantage for output power prediction. Solar Energy Prediction System Our prediction model is based variability of more then 100 kW per minute. For practical usage of solar energy, predicting times of high

Cerpa, Alberto E.

472

Solar Resource and Forecasting QuestionnaireSolar Resource and Forecasting QuestionnaireSolar Resource and Forecasting QuestionnaireSolar Resource and Forecasting Questionnaire As someone who is familiar with solar energy issues, we hope that you will tak  

E-Print Network [OSTI]

is familiar with solar energy issues, we hope that you will take a few moments to answer this short survey on your needs for information on solar energy resources and forecasting. This survey is conducted with the California Solar Energy Collaborative (CSEC) and the California Solar Initiative (CSI) our objective

Islam, M. Saif

473

A FORECAST MODEL OF AGRICULTURAL AND LIVESTOCK PRODUCTS PRICE  

E-Print Network [OSTI]

A FORECAST MODEL OF AGRICULTURAL AND LIVESTOCK PRODUCTS PRICE Wensheng Zhang1,* , Hongfu Chen1 and excessive fluctuation of agricultural and livestock products price is not only harmful to residents' living, but also affects CPI (Consumer Price Index) values, and even leads to social crisis, which influences

Boyer, Edmond

474

Forecasting Building Occupancy Using Sensor Network James Howard  

E-Print Network [OSTI]

) into the future. Our approach is to train a set of standard forecasting models to our time series data. Each model conditioning (HVAC) systems. In particular, if occupancy can be accurately pre- dicted, HVAC systems can potentially be controlled to op- erate more efficiently. For example, an HVAC system can pre-heat or pre

Hoff, William A.

475

Forecasting Hospital Bed Availability Using Simulation and Neural Networks  

E-Print Network [OSTI]

Forecasting Hospital Bed Availability Using Simulation and Neural Networks Matthew J. Daniels is a critical factor for decision-making in hospitals. Bed availability (or alternatively the bed occupancy in emergency departments, and many other important hospital decisions. To better enable a hospital to make

Kuhl, Michael E.

476

Predicting Solar Generation from Weather Forecasts Using Machine Learning  

E-Print Network [OSTI]

Predicting Solar Generation from Weather Forecasts Using Machine Learning Navin Sharma, Pranshu Sharma, David Irwin, and Prashant Shenoy Department of Computer Science University of Massachusetts Amherst Amherst, Massachusetts 01003 {nksharma,pranshus,irwin,shenoy}@cs.umass.edu Abstract--A key goal

Shenoy, Prashant

477

Review of Wind Energy Forecasting Methods for Modeling Ramping Events  

SciTech Connect (OSTI)

Tall onshore wind turbines, with hub heights between 80 m and 100 m, can extract large amounts of energy from the atmosphere since they generally encounter higher wind speeds, but they face challenges given the complexity of boundary layer flows. This complexity of the lowest layers of the atmosphere, where wind turbines reside, has made conventional modeling efforts less than ideal. To meet the nation's goal of increasing wind power into the U.S. electrical grid, the accuracy of wind power forecasts must be improved. In this report, the Lawrence Livermore National Laboratory, in collaboration with the University of Colorado at Boulder, University of California at Berkeley, and Colorado School of Mines, evaluates innovative approaches to forecasting sudden changes in wind speed or 'ramping events' at an onshore, multimegawatt wind farm. The forecast simulations are compared to observations of wind speed and direction from tall meteorological towers and a remote-sensing Sound Detection and Ranging (SODAR) instrument. Ramping events, i.e., sudden increases or decreases in wind speed and hence, power generated by a turbine, are especially problematic for wind farm operators. Sudden changes in wind speed or direction can lead to large power generation differences across a wind farm and are very difficult to predict with current forecasting tools. Here, we quantify the ability of three models, mesoscale WRF, WRF-LES, and PF.WRF, which vary in sophistication and required user expertise, to predict three ramping events at a North American wind farm.

Wharton, S; Lundquist, J K; Marjanovic, N; Williams, J L; Rhodes, M; Chow, T K; Maxwell, R

2011-03-28T23:59:59.000Z

478

Development and Deployment of an Advanced Wind Forecasting Technique  

E-Print Network [OSTI]

findings. Part 2 addresses how operators of wind power plants and power systems can incorporate advanced the output of advanced wind energy forecasts into decision support models for wind power plant and power in Porto) Power Systems Unit Porto, Portugal Industry Partners Horizon Wind Energy, LLC Midwest Independent

Kemner, Ken

479

Power load forecasting using data mining and knowledge discovery technology  

Science Journals Connector (OSTI)

Considering the importance of the peak load to the dispatching and management of the electric system, the error of peak load is proposed in this paper as criteria to evaluate the effect of the forecasting model. This paper proposes a systemic framework that attempts to use data mining and knowledge discovery (DMKD) to pretreat the data. And a new model is proposed which combines artificial neural networks with data mining and knowledge discovery for electric load forecasting. With DMKD technology, the system not only could mine the historical daily loading which had the same meteorological category as the forecasting day to compose data sequence with highly similar meteorological features, but also could eliminate the redundant influential factors. Then an artificial neural network is constructed to predict according to its characteristics. Using this new model, it could eliminate the redundant information, accelerate the training speed of neural network and improve the stability of the convergence. Compared with single BP neural network, this new method can achieve greater forecasting accuracy.

Yongli Wang; Dongxiao Niu; Ling Ji

2011-01-01T23:59:59.000Z

480

What constrains spread growth in forecasts ini2alized from  

E-Print Network [OSTI]

1 What constrains spread growth in forecasts ini2alized from ensemble Kalman filters? Tom from manner in which ini2al condi2ons are generated, some due to the model (e.g., stochas2c physics as error; part of spread growth from manner in which ini2al condi2ons are generated, some due

Hamill, Tom

Note: This page contains sample records for the topic "forecast integration william" 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

Probabilistic Forecasts of Wind Speed: Ensemble Model Output Statistics  

E-Print Network [OSTI]

. Over the past two decades, ensembles of numerical weather prediction (NWP) models have been developed and phrases: Continuous ranked probability score; Density forecast; Ensem- ble system; Numerical weather prediction; Heteroskedastic censored regression; Tobit model; Wind energy. 1 #12;1 Introduction Accurate

Washington at Seattle, University of

482

Introduction An important goal in operational weather forecasting  

E-Print Network [OSTI]

sensitive areas. To answer these questions simulation experiments with state-of-the-art numerical weather prediction (NWP) models have proved great value to test future meteorological observing systems a priori102 Introduction An important goal in operational weather forecasting is to reduce the number

Haak, Hein

483

Operational Forecasts of Cloud Cover and Water Vapour  

E-Print Network [OSTI]

of the forecast programme, which involved the additional use of 10.7 µm GOES-8 satellite data and surface weather cirrus cloud cover 15 5. A satellite-derived extinction parameter 17 5.1 Background 17 5.2 Previous work 20 5.3 Continued development of a satellite-derived 22 extinction parameter 6. Suggestions

484

Increasing NOAA's computational capacity to improve global forecast modeling  

E-Print Network [OSTI]

competing numerical weather prediction centers such as the European Center for MediumRange Weather Forecasts (ECMWF). For most sensibleweather metrics, we lag 1 to 1.5 days (i.e., they make a 3.5day of NOAA's current investment in weather satellites. Without a modern data assimilation system

Hamill, Tom

485

Measuring forecast skill: is it real skill or  

E-Print Network [OSTI]

samples, then many verification metrics will credit a forecast with extra skill it doesn't deserve islands, zero meteorologists Imagine a planet with a global ocean and two isolated islands. Weather three metrics... (1) Brier Skill Score (2) Relative Operating Characteristic (3) Equitable Threat Score

Hamill, Tom

486

URBAN OZONE CONCENTRATION FORECASTING WITH ARTIFICIAL NEURAL NETWORK IN CORSICA  

E-Print Network [OSTI]

Perceptron; Ozone concentration. 1. Introduction Tropospheric ozone is a major air pollution problem, both, Ajaccio, France, e-mail: balu@univ-corse.fr Abstract: Atmospheric pollutants concentration forecasting is an important issue in air quality monitoring. Qualitair Corse, the organization responsible for monitoring air

Boyer, Edmond

487

Leveraging Weather Forecasts in Renewable Energy Navin Sharmaa,  

E-Print Network [OSTI]

Leveraging Weather Forecasts in Renewable Energy Systems Navin Sharmaa, , Jeremy Gummesonb , David, Binghamton, NY 13902 Abstract Systems that harvest environmental energy must carefully regulate their us- age to satisfy their demand. Regulating energy usage is challenging if a system's demands are not elastic, since

Shenoy, Prashant

488

Cloudy Computing: Leveraging Weather Forecasts in Energy Harvesting Sensor Systems  

E-Print Network [OSTI]

Cloudy Computing: Leveraging Weather Forecasts in Energy Harvesting Sensor Systems Navin Sharma,gummeson,irwin,shenoy}@cs.umass.edu Abstract--To sustain perpetual operation, systems that harvest environmental energy must carefully regulate their usage to satisfy their demand. Regulating energy usage is challenging if a system's demands

Shenoy, Prashant

489

Journey data based arrival forecasting for bicycle hire schemes  

E-Print Network [OSTI]

Journey data based arrival forecasting for bicycle hire schemes Marcel C. Guenther and Jeremy T. The global emergence of city bicycle hire schemes has re- cently received a lot of attention of future bicycle migration trends, as these assist service providers to ensure availability of bicycles

Imperial College, London

490

FORECAST VERIFICATION OF EXTREMES: USE OF EXTREME VALUE THEORY  

E-Print Network [OSTI]

1 FORECAST VERIFICATION OF EXTREMES: USE OF EXTREME VALUE THEORY Rick Katz Institute for Study ON EXTREMES · Emil Gumbel (1891 ­ 1966) -- Pioneer in application of statistics of extremes (Germany, France) Conventional Methods (3) Extreme Value Theory (EVT) (4) Application of EVT to Verification (5) Frost

Katz, Richard

491

FORECAST VERIFICATION OF EXTREMES: USE OF EXTREME VALUE THEORY  

E-Print Network [OSTI]

1 FORECAST VERIFICATION OF EXTREMES: USE OF EXTREME VALUE THEORY Rick Katz Institute for Study on Extremes · Emil Gumbel (1891 ­ 1966) -- Pioneer in application of statistics of extremes "Il est impossible que l'improbable n'arrive jamais." #12;3 OUTLINE (1) Motivation (2) Conventional Methods (3) Extreme

Katz, Richard

492

FORECAST VERIFICATION OF EXTREMES: USE OF EXTREME VALUE THEORY  

E-Print Network [OSTI]

1 FORECAST VERIFICATION OF EXTREMES: USE OF EXTREME VALUE THEORY Rick Katz Institute for Study ON EXTREMES · Emil Gumbel (1891 ­ 1966) -- Pioneer in application of statistics of extremes "Il est impossible que l'improbable n'arrive jamais." #12;3 OUTLINE (1) Motivation (2) Conventional Methods (3) Extreme

Katz, Richard

493

Seasonal Forecasting of Extreme Wind and Precipitation Frequencies in Europe  

E-Print Network [OSTI]

Seasonal Forecasting of Extreme Wind and Precipitation Frequencies in Europe Matthew J. Swann;Abstract Flood and wind damage to property and livelihoods resulting from extreme precipitation events variability of these extreme events can be closely related to the large-scale atmospheric circulation

Feigon, Brooke

494

Federal Energy and Water Management Award Winners William Kuster, John McDuffie, Dennis Svalstad, William Turnbull and Steven White  

Broader source: Energy.gov (indexed) [DOE]

McDuffie, McDuffie, Dennis Svalstad William Turnbull, Steven White U.S. Air Force Air Combat Command Langley Air Force Base, Virginia The U.S. Air Force Air Combat Command (ACC) facility energy team expertly managed a comprehensive program focused on project execution, facility optimization, and energy accounting for 16 installations. Their efforts led to an energy intensity reduction of 5.9 percent in FY 2012 as compared to the prior year, and saved $6.67 million in utility costs. The team spearheaded the award of 39 energy projects that will save an estimated $5.4 million annually. In addition, the team led projects to retro-commission 2.3 million square feet at 78 major facilities, repair energy management control systems, and provide training at 12 bases to save an additional 76.6 billion Btu.

495

Navy mobility fuels forecasting system report: World petroleum trade forecasts for the year 2000  

SciTech Connect (OSTI)

The Middle East will continue to play the dominant role of a petroleum supplier in the world oil market in the year 2000, according to business-as-usual forecasts published by the US Department of Energy. However, interesting trade patterns will emerge as a result of the democratization in the Soviet Union and Eastern Europe. US petroleum imports will increase from 46% in 1989 to 49% in 2000. A significantly higher level of US petroleum imports (principally products) will be coming from Japan, the Soviet Union, and Eastern Europe. Several regions, the Far East, Japan, Latin American, and Africa will import more petroleum. Much uncertainty remains about of the level future Soviet crude oil production. USSR net petroleum exports will decrease; however, the United States and Canada will receive some of their imports from the Soviet Union due to changes in the world trade patterns. The Soviet Union can avoid becoming a net petroleum importer as long as it (1) maintains enough crude oil production to meet its own consumption and (2) maintains its existing refining capacities. Eastern Europe will import approximately 50% of its crude oil from the Middle East.

Das, S.

1991-12-01T23:59:59.000Z

496

EWEC 2006, Athens, The Anemos Wind Power Forecasting Platform Technology The Anemos Wind Power Forecasting Platform Technology -  

E-Print Network [OSTI]

EWEC 2006, Athens, The Anemos Wind Power Forecasting Platform Technology 1 The Anemos Wind Power a professional, flexible platform for operating wind power prediction models, laying the main focus on state models from all over Europe are able to work on this platform. Keywords: wind energy, wind power

Boyer, Edmond

497

Ecological Economics 41 (2002) 509527 SPECIAL ISSUE: The Dynamics and Value of Ecosystem Services: Integrating  

E-Print Network [OSTI]

38, 1 Williams St., Solomons, MD 20688-0038, USA Abstract We estimated global marketed and non-marketed measure of marketed economic output) is correlated with the amount of light energy (LE) emitted: Integrating Economic and Ecological Perspectives Global estimates of market and non-market values derived from

Vermont, University of

498

An Exact Thickness-Weighted Average Formulation of the Boussinesq Equations WILLIAM R. YOUNG  

E-Print Network [OSTI]

An Exact Thickness-Weighted Average Formulation of the Boussinesq Equations WILLIAM R. YOUNG application of thickness-weighted averaging to the Boussinesq equa- tions of motion results in averaged

Young, William R.

499

Urban Aerosol Impacts on Downwind Convective Storms SUSAN C. VAN DEN HEEVER AND WILLIAM R. COTTON  

E-Print Network [OSTI]

Urban Aerosol Impacts on Downwind Convective Storms SUSAN C. VAN DEN HEEVER AND WILLIAM R. COTTON. 2004; Givati and Rosenfeld 2004; Molders and Olson 2004; Jirak and Cotton 2006); 2) increased surface

Collett Jr., Jeffrey L.

500

FIA-12-0049- In the Matter of William B. Ray  

Broader source: Energy.gov [DOE]

On October 1, 2012, OHA denied an Appeal filed by William B. Ray under the Freedom of Information and Privacy Act.  Mr. Ray was appealing from a determination issued by the DOE’s Oak Ridge Office ...