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Note: This page contains sample records for the topic "lists forecasts home" 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.


1

A demand side management strategy based on forecasting of residential renewable sources: A smart home system in Turkey  

Science Journals Connector (OSTI)

Abstract The existing electricity systems have been substantially designed to allow only centralized power generation and unidirectional power flow. Therefore, the objective of improving the conventional power systems with the capabilities of decentralized generation and advanced control has conflicted with the present power system infrastructure and thus a profound change has necessitated in the current power grids. To that end, the concept of smart grid has been introduced at the last decades in order to accomplish the modernization of the power grid while incorporating various capabilities such as advanced metering, monitoring and self-healing to the systems. Among the various advanced components in smart grid structure, “smart home” is of vital importance due to its handling difficulties caused by the stochastic behaviors of inhabitants. However, limited studies concerning the implementation of smart homes have so far been reported in the literature. Motivated by this need, this paper investigates an experimental smart home with various renewable energy sources and storage systems in terms of several aspects such as in-home energy management, appliances control and power flow. Furthermore, the study represents one of the very first attempts to evaluate the contribution of power forecasting of renewable energy sources on the performance of smart home concepts.

A. Tascikaraoglu; A.R. Boynuegri; M. Uzunoglu

2014-01-01T23:59:59.000Z

2

Wind Power Forecasting  

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

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

3

TVDG Home Page  

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

for Upton, New York Forecast for Upton, New York Forecast Welcome to TVDG Logo the BNL Tandem Brookhaven National Laboratory's Tandem Van de Graaff Accelerator Facility We have a NEW Home Page. Please try it and let us know about any omissions or additions you would like to see on our new site. Where Can We Go From Here? 10 Steps 10 steps to your Tandem experiment. SEU Availability SEU availability calendar for our facility. Here you can see when the facility is available for running SEU. Species List of ions, energies and LETs that are available at our facility. Reservations Fill-in form that allows registered users to reserve time at our facility via the Web. User Registration Users are required to register before being allowed on site Contacts List of contact people at our facility and how to reach us by phone, fax or e-mail.

4

Home  

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

the Closed Circuit, announces the Top 10 stories of the year. Read the full list ... solar panel array Solar power purchase for DOE labs DOENNSA finalized the license...

5

Home  

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

Cleanup Project Cleanup Project Search Login Home News News Inside the ICP articles About Us About Us Our Mission Facility Factsheets History of the Site Safety Working with CWI/Property Sales Working with CWI Subcontracting & Small Business Academic Internship Program Property Sales Outreach Community Outreach Stakeholders Education and Research Transfer Program AR-IR Administration Contact Us Industry leader in safe performance CWI's worker-owned safety culture has been the cornerstone for delivering work at the Idaho Cleanup Project. Since contract inception in May 2005, the CWI team has reduced recordable injuries by more than 70 percent. Video Feature: Waste Management Treatment of sodium-contaminated waste using a distillation process (9:47) Terms Of Use Privacy Statement If you have a disability and need an

6

RACORO Forecasting  

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

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

7

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

NLE Websites -- All DOE Office Websites (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...

8

Building America Efficient Solutions for Existing Homes Case...  

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

of 1915 Home, Dayton, Washington Building America Efficient Solutions for Existing Homes Case Study: Retrofit of 1915 Home, Dayton, Washington This case study lists project...

9

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

10

For more information please visit http://www.sfu.ca/ehs For BC list of recommended supplies for home, office, and automobile visit  

E-Print Network (OSTI)

for home, office, and automobile visit http://www batteries, crank radio. Dried fruit, nuts, canned meat/fish, protein bars, a non-electric can opener. One

Park, Edward

11

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

NLE Websites -- All DOE Office Websites (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...

12

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

13

Recently released EIA report presents international forecasting data  

SciTech Connect

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

14

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

15

Building Technologies Office: Home Energy Score  

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

Energy Score Energy Score The Home Energy Score is similar to a vehicle's mile-per-gallon rating. The Home Energy Score allows homeowners to compare the energy performance of their homes to other homes nationwide. It also provides homeowners with suggestions for improving their homes' efficiency. The process starts with a Home Energy Score Qualified Assessor collecting energy information during a brief home walk-through. Using the Home Energy Scoring Tool, developed by the Lawrence Berkeley National Laboratory, the Qualified Assessor then scores the home on a scale of 1 to 10. A score of 10 indicates that the home has excellent energy performance. A score of 1 indicates the home needs extensive energy improvements. In addition to providing the Score, the Qualified Assessor provides the homeowner with a list of recommended energy improvements and the associated cost savings estimates.

16

Geothermal CSC Reference List | OpenEI Community  

Open Energy Info (EERE)

List Home > Groups > 2014 Geothermal Case Study Challenge Mbennett's picture Submitted by Mbennett(30) Member 24 January, 2014 - 11:28 Upload Files: application...

17

Challenge Home  

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

DOE Challenge Home DOE Challenge Home Sam Rashkin Building Technologies Office samuel.rashkin@ee.doe.gov/202-2897-1994 April 3, 2013 DOE Challenge Home: Leveraging Our Nation's Investment in High-Performance Home Innovations 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem Statement: The U.S. Housing industry is extremely slow to adopt proven innovations from DOE's Building America program that provide compelling benefits to

18

Home Energy Saver  

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

User's Guide User's Guide 5 STEPS TO SAVINGS & SUSTAINABILITY: Begin by entering your zip code or previous session number to see a typical home's baseline energy use and potential savings. Provide more information to estimate energy cost, consumption, and greenhouse-gas emissions for a specific home and to receive a detailed list of savings recommendations. Visit the Learn area for information to help implement the recommendations. See typical energy use in a specific zip code Describe a home Compare current use with potential savings View recommended energy saving actions Learn about measuring & reducing energy use Input your zip code or existing session ID. Once you've entered the information and selected "Go", you will receive a breakdown of the energy

19

List of all HEP Institutions  

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

Top 500 Top 500 HEP and Astrophysics Institutions by Country This document lists the 500 major high-energy physics and astrophysics institutions, sorted by country. Each listing will show a [SPIRES Entry] which gives the full address and phone/fax/url of the institution in addition to links to papers in HEP and people in HEPNAMES. The [Home page], where known, takes you directly to the departmental home page. Alternatively try our INSTITUTIONS search page. This list of the top 500 institutions is chosen by the number of papers from each institution in the past 5 years. Click here for the full list of HEP institutions. Please send any comments, corrections, updates or information on new institutions to: inst@slac.stanford.edu. Last modified at 17:12:32 on 06/30/04.

20

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

Note: This page contains sample records for the topic "lists forecasts home" 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

Returning Home After a Disaster: Supply List  

E-Print Network (OSTI)

30 sunscreen. Prescription medications: Include heart and high blood pressure medicine, insulin and other drugs prescribed by your doctor. Hand sanitizer: Any type of alcohol-based hand sanitizer will work. Basic tool kit: Include a screwdriver...

Norman, Lisa

2005-09-30T23:59:59.000Z

22

Listing home | netl.doe.gov  

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

Life Cycle Analysis LCA Projects Models-Tools Presentations Unit Process Library All Projects Coal Biomass Natural Gas Nuclear Wind Hydropower Solar Geothermal Combination Fuels...

23

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

24

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

25

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

26

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

27

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

28

CAPP 2010 Forecast.indd  

NLE Websites -- All DOE Office Websites (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...

29

Participant List  

Energy Savers (EERE)

November 12-13, 2014 PARTICIPANT LIST Brian Anderson West Virginia University James Armstrong Apogee Scientific, Inc. Terry Boss Interstate Natural Gas Association of America...

30

Home Page  

Office of Legacy Management (LM)

Sections Revegetation Monitoring Report Vegetation Survey Report Wildlife Surveys Report Rocky Flats Vascular Flora List (2011) EPA Revegetation Assessments for the Rocky Flats...

31

Entergy Texas - Energy Star Homes Program for Builders | Department of  

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

Entergy Texas - Energy Star Homes Program for Builders Entergy Texas - Energy Star Homes Program for Builders Entergy Texas - Energy Star Homes Program for Builders < Back Eligibility Construction Residential Savings Category Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Program Info State Texas Program Type Utility Rebate Program Rebate Amount Single-Family Homes - Tier I (ENERGY STAR V-2.0): $150 per home Single-Family Homes - Tier II (ENERGY STAR V-2.5): $300 per home Attached Homes: 50% of single-family incentive per housing unit Advanced Lighting Package: $50 per single-family home ENERGY STAR V-3.0 HVAC Check Lists: $150 per single-family home Provider Entergy Texas Entergy Texas offers an incentive to builders in its service territory for

32

Home Energy Saver  

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

Roadmap to Results Roadmap to Results Ease into the process of making your home more efficient. If you're new to this, or you're on a very tight budget, start with the lowest-hanging fruit like double-checking your water heater's temperature setting. The next easy steps are simple things that will fit into your shopping basket: maybe a few compact fluorescent lamps or a roll of weatherstripping. When it's time to replace that old fridge, or other appliances, take time to shop smart. At a minimum, look for the ENERGY STAR rating. There are detailed lists of products that will take you even farther. Remember: you're not simply spending money, you're investing for profit and comfort. Redoing your kitchen? New roof? Finally adding that in-law unit? Creating successful projects can take some work. Take the time to find a home

33

NERSC Software List  

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

Compilers Compilers Development Tools Programming Libraries Debugging and Profiling Visualization and Analytics Grid Software and Services NERSC Software Downloads Accounts & Allocations Policies Data Analytics & Visualization Data Management Policies Science Gateways User Surveys NERSC Users Group User Announcements Help Operations for: Passwords & Off-Hours Status 1-800-66-NERSC, option 1 or 510-486-6821 Account Support https://nim.nersc.gov accounts@nersc.gov 1-800-66-NERSC, option 2 or 510-486-8612 Consulting http://help.nersc.gov consult@nersc.gov 1-800-66-NERSC, option 3 or 510-486-8611 Home » For Users » Software » All Software List All Software List Package Platform Category Version Module Install Date Date Made Default edison / 1.0.0 craypkg-gen/1.0.0 2013-11-27 2013-11-27

34

Nursing Homes  

Science Journals Connector (OSTI)

Nursing homes are residential health care facilities that provide care for people recovering from an acute illness or suffering from a  chronic disease , and who require skilled nursing care and 24-hour superv...

2008-01-01T23:59:59.000Z

35

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

36

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

37

Flathead Electric Cooperative - New and Manufactured Home Incentive Program  

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

Flathead Electric Cooperative - New and Manufactured Home Incentive Flathead Electric Cooperative - New and Manufactured Home Incentive Program Flathead Electric Cooperative - New and Manufactured Home Incentive Program < Back Eligibility Residential Savings Category Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Program Info State Montana Program Type Utility Rebate Program Rebate Amount New Montana Home: $1,500 NEEM Home: $750 (homeowner), $150 (sales representative) Provider Flathead Electric Cooperative Flathead Electric encourages its residential customers to occupy energy efficient homes. Owners and builders of new homes which meet the "Montana Homes" requirements listed on the program web site are eligible for a rebate of $1,500. All application information and home testing must be

38

Home Page  

Gasoline and Diesel Fuel Update (EIA)

tables were generated for the reference case of the tables were generated for the reference case of the Annual Energy Outlook 1997 (AEO97) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1995 to 2015. Most of the tables were not published in the AEO97, but contain regional and other more detailed projections underlying the AEO97 projections. The files containing these tables are in spreadsheet format. A total of eighty-nine tables are presented. The data for tables 10 and 20 match those published in AEO97 Appendix tables A2 and A3, respectively. Forecasts for 1996, 1997, and 1998 may differ from values published in the Short Term Energy Outlook, Fourth Quarter 1996 or Short Term Energy Outlook, First Quarter 1997, which are the official EIA short-term forecasts and are based on more

39

Snails home  

Science Journals Connector (OSTI)

Many gardeners and horticulturalists seek non-chemical methods to control populations of snails. It has frequently been reported that snails that are marked and removed from a garden are later found in the garden again. This phenomenon is often cited as evidence for a homing instinct. We report a systematic study of the snail population in a small suburban garden, in which large numbers of snails were marked and removed over a period of about 6 months. While many returned, inferring a homing instinct from this evidence requires statistical modelling. Monte Carlo techniques demonstrate that movements of snails are better explained by drift under the influence of a homing instinct than by random diffusion. Maximum likelihood techniques infer the existence of two groups of snails in the garden: members of a larger population that show little affinity to the garden itself, and core members of a local garden population that regularly return to their home if removed. The data are strongly suggestive of a homing instinct, but also reveal that snail-throwing can work as a pest management strategy.

D J Dunstan; D J Hodgson

2014-01-01T23:59:59.000Z

40

Folding@HomeFolding@Home Vijay Pande  

E-Print Network (OSTI)

Folding@HomeFolding@Home Vijay Pande #12;http://folding.stanford.edu © Vijay S. Pande 1999,000,000 PCs on the internet Folding@Home People donate their idle computer time They visit our website://folding.stanford.edu © Vijay S. Pande 1999-2003 Folding@HomeFolding@Home:: VeryVery powerful & cost effectivepowerful & cost

Dally, William J.

Note: This page contains sample records for the topic "lists forecasts home" 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

E-Print Network 3.0 - anal cancer home Sample Search Results  

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

by Explorit Topic List Advanced Search Sample search results for: anal cancer home Page: << < 1 2 3 4 5 > >> 1 Biotherapy 11: 205220, 1998. 1998 Kluwer Academic Publishers....

42

New Homes Incentive Program  

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

Energy Trust's New Homes Program offers builders cash incentives for energy efficient measures included in new homes, where the measures exceed the building code. Lighting upgrades, whole home...

43

Homes Success Stories  

Energy Savers (EERE)

1 Homes Success Stories en Zero Energy Ready Home Program: Race to Zero Student Design Competition http:energy.goveeresuccess-storiesarticleszero-energy-ready-home-program-ra...

44

Home Automation  

E-Print Network (OSTI)

In this paper I briefly discuss the importance of home automation system. Going in to the details I briefly present a real time designed and implemented software and hardware oriented house automation research project, capable of automating house's electricity and providing a security system to detect the presence of unexpected behavior.

Ahmed, Zeeshan

2010-01-01T23:59:59.000Z

45

COMPLETE LISTING:  

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

COMPLETE LISTING: COMPLETE LISTING: DISPOSITION AUTHORITIES FROZEN UNDER THE EPIDEMIOLOGICAL MORATORIUM MARCH 2008 Listed below are all the disposition authorities which are under the moratorium on the destruction of health related records as of March 2008. All records scheduled under these authorities at Department of Energy (DOE) headquarters and field sites should be preserved past their normal retention periods unless an headquarters organization or a field site has obtained permission to remove records scheduled under the authority from the moratorium. Questions about the moratorium and what records should be preserved under it should be directed to Marsha Lawn on 301-903-3721 or at Marsha.Lawn@hq.doe.gov. ENVIRONMENTAL RECORDS SCHEDULE Item Series Title

46

Sandia National Laboratories: solar forecasting  

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

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

47

Home Energy Score Calculation Methodology | Department of Energy  

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

Home Energy Score Calculation Methodology Home Energy Score Calculation Methodology Home Energy Score Calculation Methodology A Qualified Assessor calculates the Home Energy Score by first conducting a brief walk-through of the home and collecting approximately 40 data points. Next, the Qualified Assessor uses the Home Energy Scoring Tool to estimate the home's energy use. The Scoring Tool converts it into a Score and develops recommendations for energy improvements. All the data required to calculate the Home Energy Score is listed in the Data Collection Sheet. The calculation method holds a number of variables constant. For example, it assumes, that the thermostat is set at specific levels at various points of the year, and that homeowners use appliances in a standard way. By holding these other variables constant, the Home Energy Score allows

48

HOME RANGE SIZE, MOVEMENT AND HABITAT USE FOR A POPULATION OF BLANDING'S TURTLES (EMYS BLANDINGII) IN THE UPPER MISSISSIPPI  

E-Print Network (OSTI)

HOME RANGE SIZE, MOVEMENT AND HABITAT USE FOR A POPULATION OF BLANDING'S TURTLES (EMYS BLANDINGII TABLE OF CONTENTS LIST OF FIGURES iii LIST OF TABLES iv HOME RANGE SIZE, MOVEMENT AND HABITAT USE. HOME RANGE AND HABITAT COMPOSITION MAPS FOR ALL 17 RADIO-TRACKED TURTLES IN THE UPPER MISSISSIPPI RIVER

Janzen, Fredric

49

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

50

PRODUCT LISTINGS:  

Science Journals Connector (OSTI)

......Scientific Inc. constant temperature, oil Baird &TatlockLtd. Blue M Electric Co...Inc. Xpectrix International SA SAMPLE HEATING TABLES C. DesagaGmbH SAMPLE INJECTION...is provided to the GC oven heater. List price $ 895. Theall Engineering also manufac......

Product Listings

1979-02-01T23:59:59.000Z

51

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

52

CLEAN List Serve | Open Energy Information  

Open Energy Info (EERE)

List Serve List Serve Jump to: navigation, search Home | About | Inventory | Partnerships | Capacity Building | Webinars | Reports | Events | News | List Serve CLEAN List Serve Note: The list is too big to send in a single email, so send your message to part one AND part two CLEAN List Serve Name Organization Email Adib, Rana Renewable Energy Policy Network for the 21st Century (REN21) Agbemabiese, Lawrence United Nations Environment Programme Akbar, Sameer World Bank Alers, Marcel United Nations Development Programme Ashvie, Tim Climate and Development Knowledge Network (CDKN) Barnards, Geoff Bauer, Florian Renewable Energy and Energy Efficiency Partnership (REEEP) Bazilian, Morgan United Nations Industrial Development Organization (UNIDO) Ben Fadhl, Fatma United Nations Environment Programme

53

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.

54

BCP Home  

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

Boulder Canyon Project Information Module Boulder Canyon Project Information Module HOME MODULE OVERVIEW LEGISLATION TIMELINE TIMELINE SUMMARY CASE LAW PROJECT HISTORY MISC. DOCUMENTS RELATED LINKS Home Page Image Welcome Hoover Dam is the highest and third largest concrete dam in the United States. The dam, power plant, and high-voltage switchyards are located in the Black Canyon of the Colorado River on the Arizona-Nevada state line. Lake Mead, the reservoir behind the dam, will hold the average two-year flow of the Colorado River. Hoover Dam´s authorized purposes are: first, river regulation, improvement of navigation, and flood control; second, delivery of stored water for irrigation and other domestic uses; and third, power generation. This Page was last modified on : 05-12-2009

55

Homes Blog  

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

homes-blog Office of Energy Efficiency & Renewable homes-blog Office of Energy Efficiency & Renewable Energy Forrestal Building 1000 Independence Avenue, SW Washington, DC 20585 en Mississippi Adopts New Rules to Save Energy, Money http://energy.gov/eere/articles/mississippi-adopts-new-rules-save-energy-money-0 Mississippi Adopts New Rules to Save Energy, Money

56

home from home Murray Edwards Accommodation Guide 2012-13  

E-Print Network (OSTI)

home from home Murray Edwards Accommodation Guide 2012-13 #12;2 home from home home from home.......................................................................... 17 #12;Murray Edwards Accommodation Guide 2012-13 3 home from home Introduction Dear Students, Murray Edwards has produced the `Home from Home', the Accommodation Guide to provide full information

Goldschmidt, Christina

57

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,

58

Project Report List  

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

search Go search Go Project Report List ISPO Home Page ISPO Report Number Title Author Task Number ISPO #1 Report on Hough's Visit to GE Wilmington-Cooperative Study with NRC at GE Wilmington, March 1977 A. M. Bieber, Jr. F.7 ISPO #2 Track-Etch Technique-Processing and Readout of Tapes-Consultation & Training, September 1978, NEDG-12682, GE-VNC D. B. Lovett A.15 ISPO #3 Integral Exercises-Reprocessing Facility (Barnwell DIQ), March 1978, BNL-TSO A. M. Bieber, Jr. S. C. Suda C.4 ISPO #4 Results of Tests to Determine Response of Solar Cell Gamma Detector "C" to High Dose Rate Gamma Radiation, June 1977, Sandia Laboratories, Letter Report J. F. Ney E.22 ISPO #5 Cooperative Study with NRC at GE Wilmington, October 1978 A. M. Bieber, Jr. C.M. Vaughn F.7

59

Home Page  

Gasoline and Diesel Fuel Update (EIA)

Customer: Customer: The Annual Energy Outlook diskette contains the annual forecasts from 1994 to 2015 for each of the five cases published in the Annual Energy Outlook 1997 (AEO). The five AEO cases are comprised of the Reference, Low Economic Growth, High Economic Growth, Low World Oil Price, and High World Oil Price cases. All AEO cases are generated using the National Energy Modeling System (NEMS), a computer-based model which produces annual projections of energy markets through 2015. Twenty-one tables are published in the AEO for the Reference case, containing data for 1994, 1995, 2000, 2005, 2010, and 2015. In the AEO, the Low Economic Growth and High Economic Growth cases are presented in one set of twenty-one comparison tables, while the Low World Oil Price and

60

Home Page  

Gasoline and Diesel Fuel Update (EIA)

files contain tables that were generated for files contain tables that were generated for the Reference case of the Annual Energy Outlook 1996 (AEO96), using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1994 to 2015. Most of the tables in the files were not published in the AEO96, but contain regional and other more detailed projections underlying the AEO96 projections. The files containing these tables are in spreadsheet format. A total of ninety-eight tables are presented. The data in the files for tables 10 and 20 match those published in AEO96 Appendix tables A2 and A3, respectively. Forecasts for 1995, 1996, and 1997 in the files may differ from values published in the Short Term Energy Outlook, First Quarter 1996, which are the official EIA short-term

Note: This page contains sample records for the topic "lists forecasts home" 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

Vocabulary List  

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

Vocabulary List Vocabulary List VA State Standards of Learning Download this Activity Accelerate - to speed up Accelerator - a machine which accelerates charged particles to high energies Antimatter - matter that is exactly the opposite in every way from its matter counterpart: antiquark/quark; positron/electron Atom - the smallest unit of a chemical element, made up of a nucleus surrounded by electrons Beam - a ray of light; a group of particles traveling together along a well-defined path BEAMS - the acronym for Becoming Enthusiastic About Math and Science CEBAF - former name of Jefferson Lab; stands for Continuous Electron Beam Accelerator Facility Celsius - a temperature scale on which water freezes at 0° and boils at 100° Charge - the amount of electricity carried by a body (A charge can be negative, like an electron, or positive, like a proton. Objects with opposite charges attract one another, while objects with like charges repel one another.)

62

Save Energy at Home Tool | Open Energy Information  

Open Energy Info (EERE)

Save Energy at Home Tool Save Energy at Home Tool Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Save Energy at Home Tool Focus Area: Buildings Topics: Opportunity Assessment & Screening Website: www.energystar.gov/index.cfm?c=products.pr_save_energy_at_home Equivalent URI: cleanenergysolutions.org/content/save-energy-home-tool Language: English Policies: "Deployment Programs,Regulations" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Training & Education Regulations: Appliance & Equipment Standards and Required Labeling This U.S. Environmental Protection Agency (EPA) tool assists with understanding where energy is typically consumed within a building and how

63

Home Energy Loan Program | Department of Energy  

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

You are here You are here Home » Home Energy Loan Program Home Energy Loan Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Commercial Weatherization Sealing Your Home Cooling Construction Design & Remodeling Other Ventilation Heat Pumps Appliances & Electronics Water Heating Maximum Rebate $30,000 Program Info Funding Source American Recovery and Reinvestment Act of 2009 Start Date 01/2011 State Maryland Program Type State Loan Program Rebate Amount Loans from $1,500 - $30,000 Provider Maryland Clean Energy Center Note: The eligible technologies listed above are only examples of some improvements that might be supported under this program as detailed on the program web site. Other improvements may be eligible and not all

64

DOE Zero Energy Ready Home Case Study, Garbett Homes, Herriman...  

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

Garbett Homes, Herriman, UT, Production Home DOE Zero Energy Ready Home Case Study, Garbett Homes, Herriman, UT, Production Home Case study of a DOE Zero Energy Ready Home in...

65

Home's Douglas  

E-Print Network (OSTI)

BULLETIN OF THE UNIVERSITY OF KANSAS HUMANISTIC STUDIES Vol. Ill November 1, 1924 No. 3 Home's Douglas Edited With Introduction and Notes BY HUBERT J. TUNNEY, A. B., A. M. Instructor in English University of Notre Dame LAWRENCE, NOVEMBER... of Carron"; "the stormy north"; "some nameless stream's untrodden banks"; "wings of down"; and "red came the river down." There are few extended nature passages in the play. Corn- pan- II. 189-195; III, 80-97; V, 1-12; and V, 79-83. The refer ences...

Home, John

1924-11-01T23:59:59.000Z

66

Modesto Irrigation District - New Home Energy Efficiency Rebate Program |  

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

Modesto Irrigation District - New Home Energy Efficiency Rebate Modesto Irrigation District - New Home Energy Efficiency Rebate Program Modesto Irrigation District - New Home Energy Efficiency Rebate Program < Back Eligibility Construction Multi-Family Residential Residential Savings Category Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Program Info State California Program Type Utility Rebate Program Rebate Amount Single-Family Dwelling: $500 Multi-Family Dwelling: $250 Provider Energy Management Department Modesto Irrigation District's MPower New Home Program provides incentives to builders and homeowners for designing and building energy-efficient homes. Eligible homes must meet the guidelines for California Energy Star Qualified New Homes, listed on the program application. Each qualified new

67

Benton PUD - Energy Efficient Manufactured Homes Rebate Program |  

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

Manufactured Homes Rebate Program Manufactured Homes Rebate Program Benton PUD - Energy Efficient Manufactured Homes Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Program Info Expiration Date 09/31/2015 State District of Columbia Program Type Utility Rebate Program Rebate Amount $750 Provider Benton PUD Benton PUD offers a $750 rebate to purchasers of Energy Star manufactured homes. Homes must be electrically heated and located in Benton PUD's service territory to receive the rebate. The rebate application is located on the program website. The website also offers a list of mobile home dealers in the area that offer Energy Star manufactured homes. Contact

68

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.

69

NewsListings  

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

NewsListings NewsListings Sign In Launch the Developer Dashboard SLAC National Accelerator Laboratory DOE | Stanford | SLAC | SSRL | LCLS | AD | PPA | Photon Science | PULSE | SIMES LCLS : Linac Coherent Light Source An Office of Science User Facility Search this site... Search Help (new window) Top Link Bar LCLS Lasers Expand Lasers LCLS Quick Launch Home About LCLS Expand About LCLS LCLS News Expand LCLS News User Resources Expand User Resources Instruments Expand Instruments Proposals Publications Expand Publications Schedules Machine Status Machine FAQs Safety Organization Expand Organization Directories Expand Directories Staff Resources Contact Us All Site Content Department of Energy Page Content News X-ray Laser Maps Important Drug Target Thursday, December 19, 2013 LCLS News Researchers have used one of the brightest X-ray sources on the planet to map the 3-D structure of an important cellular gatekeeper known as a G protein-coupled receptor, or GPCR, in a more natural state than possible before. The new technique is a major advance in exploring GPCRs, a vast, hard-to-study family of proteins that plays a key role in human health and is targeted by an estimated 40 percent of modern medicines.

70

DOE Zero Energy Ready Home Case Study: Southern Homes, Russellville...  

Energy Savers (EERE)

Southern Homes, Russellville, AL DOE Zero Energy Ready Home Case Study: Southern Homes, Russellville, AL Case study of the first manufactured home built to the DOE Zero Energy...

71

DOE Zero Energy Ready Home Case Study: Southern Energy Homes...  

Office of Environmental Management (EM)

Southern Energy Homes, Russellville, AL DOE Zero Energy Ready Home Case Study: Southern Energy Homes, Russellville, AL Case study of the first manufactured home built to the DOE...

72

Apple Price List unh computer store  

E-Print Network (OSTI)

Apple Price List 6/16/14 unh computer store university of new hampshire phone: (603) 862-1328 · fax for home) Upgrade: 4GB memory to 8GB memory & 128GB storage to 256GB storage $200.00 Apple USB Super http://computerstore.unh.edu/support.shtml for more details on warranty coverage. com #12;Apple Price

73

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

74

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

75

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

76

At Home  

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

21, 1997 21, 1997 Number 6 A profile of the Fermilab user community At Home and Loved by Judy Jackson, Fermilab Office of Public Affairs They come from Texas and from Turkey; from Colombia the country and Columbia the university; from as nearby as Elmhurst, Illinois and as far away as Beijing, China; from Oxford, England to Oxford, Mississippi; from university groups as large as 50 and as small as one. Figures recently released by the Laboratory's Office of Program Planning show Fermilab's users as a diverse and growing community of physicists and students engaged in a range of experiments aimed at discovering the fundamental nature of matter at the frontiers of particle physics research. What is a user? It seems obvious, but defining a labora- tory user is harder than it looks. Different

77

List based prefetch  

DOE Patents (OSTI)

A list prefetch engine improves a performance of a parallel computing system. The list prefetch engine receives a current cache miss address. The list prefetch engine evaluates whether the current cache miss address is valid. If the current cache miss address is valid, the list prefetch engine compares the current cache miss address and a list address. A list address represents an address in a list. A list describes an arbitrary sequence of prior cache miss addresses. The prefetch engine prefetches data according to the list, if there is a match between the current cache miss address and the list address.

Boyle, Peter; Christ, Norman; Gara, Alan; Kim, Changhoan; Mawhinney, Robert; Ohmacht, Martin; Sugavanam, Krishnan

2014-08-12T23:59:59.000Z

78

Going Home Again  

E-Print Network (OSTI)

Wolfe, T. 1940. You can’t go home again. New York: HarperSusan J. 2007. “You Can’t Go Home Again: Homesickness andwork, and as such, I cannot go home. William Riggs is a PhD

Riggs, William

2010-01-01T23:59:59.000Z

79

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

80

Home Page  

Office of Legacy Management (LM)

2 2 Click on the links below to access different portions of the electronic annual report. NOTE: The only link on this DVD that functions is the New Revegetation Locations link under the 2011 Photopoint Monitoring section. To access the other links insert DVD 1. 2011 Annual Report Sections Revegetation Monitoring Report Vegetation Survey Report Wildlife Surveys Report Rocky Flats Vascular Flora List (2011) EPA Revegetation Assessments for the Rocky Flats Site 2011 Report 2010 Report 2009 Report (NOTE: If reports will not open as .pdf files when clicking on hyperlinks go to Windows Explorer and open the directory on the DVD called: \2010 Annual Report\2010 Annual Report PDF Files. Then double-click on the name of the report you want to view.) 2011 Photopoint Monitoring

Note: This page contains sample records for the topic "lists forecasts home" 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

IPv6 Home Automation.  

E-Print Network (OSTI)

?? Home automation is the systematic controlling and monitoring of everyday home devices such as lighting, heating, window blinds and appliances (both white goods and… (more)

Hådén, Thor

2009-01-01T23:59:59.000Z

82

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...

83

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.

84

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

85

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...

86

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

87

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

88

Masco Home Services/WellHome | Open Energy Information  

Open Energy Info (EERE)

WellHome Jump to: navigation, search Name: Masco Home ServicesWellHome Place: Taylor, MI Website: http:www.mascohomeserviceswe References: Masco Home ServicesWellHome1...

89

DOE Zero Energy Ready Home Case Study: Green Extreme Homes &...  

Energy Savers (EERE)

Green Extreme Homes & Carl Franklin Homes, Garland, TX DOE Zero Energy Ready Home Case Study: Green Extreme Homes & Carl Franklin Homes, Garland, TX Case study of a DOE Zero Energy...

90

GREEN HOMES LONG ISLAND  

E-Print Network (OSTI)

GREEN HOMES LONG ISLAND Town of Babylon Steve Bellone, Supervisor green your house, slash your to introduce Long Island Green Homes, an innovative program that will help residents make their homes more energy-efficient and reduce our community's carbon footprint. Why do we call it Long Island Green Homes

Kammen, Daniel M.

91

Home Workspace Field Description  

E-Print Network (OSTI)

Proposal Management Reviewer Home Workspace Field Description Last updated: 4/1/2013 1 of 2 http://eresearch.umich.edu Proposal Management Reviewer Home Workspace Your Home Workspace is your launch pad for eResearch Proposal to the project. Who Can See the Reviewer Home Workspace: People with Reviewer or Reviewer Who Can Sign access

Shyy, Wei

92

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

93

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

94

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":""}]}

95

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

96

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

97

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

98

DOE Zero Energy Ready Home: Healthy Efficient Homes - Spirit...  

Energy Savers (EERE)

Old Greenwich, CT, Custom DOE Zero Energy Ready Home Case Study: Cobblestone Homes, Midland, MI DOE Zero Energy Ready Home Case Study: Caldwell and Johnson, Charlestown, RI...

99

DOE Zero Energy Ready Home Case Study: Cobblestone Homes, Midland...  

Office of Environmental Management (EM)

Old Greenwich, CT, Custom DOE Zero Energy Ready Home: Healthy Efficient Homes - Spirit Lake, Iowa DOE Zero Energy Ready Home Case Study: Caldwell and Johnson, Charlestown, RI...

100

Home Energy Yardstick : ENERGY STAR  

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

Home > Home Improvement > Home Energy Yardstick Home > Home Improvement > Home Energy Yardstick Home Energy Yardstick Assess the energy efficiency of your home and see how it measures up: EPA's Home Energy Yardstick provides a simple assessment of your home's annual energy use compared to similar homes. By answering a few basic questions about your home, you can get: Your home's Home Energy Yardstick score (on a scale of 1 to 10); Insights into how much of your home's energy use is related to heating and cooling versus other everyday uses like appliances, lighting, and hot water; Links to guidance from ENERGY STAR on how to increase your home's score, improve comfort, and lower utility bills; and An estimate of your home's annual carbon emissions. Learn more about how the Home Energy Yardstick works.

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


101

Home Energy Assessments  

SciTech Connect

A home energy assessment, also known as a home energy audit, is the first step to assess how much energy your home consumes and to evaluate what measures you can take to make your home more energy efficient. An assessment will show you problems that may, when corrected, save you significant amounts of money over time. This video shows some of the ways that a contractor may test your home during an assessment, and helps you understand how an assessment can help you move toward energy savings. Find out more at: http://www.energysavers.gov/your_home/energy_audits/index.cfm/mytopic=11160

Dispenza, Jason

2010-01-01T23:59:59.000Z

102

Homes | Department of Energy  

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

Science & Innovation » Energy Efficiency » Homes Science & Innovation » Energy Efficiency » Homes Homes New Savings Projects provide step-by-step instructions on home energy efficiency improvements. Learn how to weatherstrip double-hung (or sash) windows. Also check out our guide to sealing air leaks with caulk. New Savings Projects provide step-by-step instructions on home energy efficiency improvements. Learn how to weatherstrip double-hung (or sash) windows. Also check out our guide to sealing air leaks with caulk. Our homes are a major source of energy use in the U.S. Improving the

103

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

104

Exploring California PV Home Premiums  

E-Print Network (OSTI)

Understanding the Solar Home Price Premium: ElectricityStudy of 30 Single?Family Homes in the North and Northwestin California: The Effect on Home Sales Prices. Contemporary

Hoen, Ben

2014-01-01T23:59:59.000Z

105

Imagine Homes | Open Energy Information  

Open Energy Info (EERE)

Imagine Homes Jump to: navigation, search Name: Imagine Homes Place: San Antonio, TX Website: http:www.imaginehomes.com References: Imagine Homes1 Information About Partnership...

106

Pardee Homes | Open Energy Information  

Open Energy Info (EERE)

Pardee Homes Jump to: navigation, search Name: Pardee Homes Place: Los Angeles, CA Website: http:www.pardeehomes.com References: Pardee Homes1 Information About Partnership...

107

Home | Register Web Search: News Home Page  

E-Print Network (OSTI)

Home | Register Web Search: News Home Page News Digest Photo Galleries Politics Nation Science bright to dark; each change represents one digital "bit" of information. The problem is equivalent) [4/7/2000 2:39:49 PM] #12;Toolbox On the Web Census information Federal crime data Economy by region

Hochberg, Michael

108

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...

109

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

110

DOE Zero Energy Ready Home Case Study: Mandalay Homes, Prescott...  

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

Study: Mandalay Homes, Prescott Valley, AZ DOE Zero Energy Ready Home Case Study: Mandalay Homes, Prescott Valley, AZ Case study of a DOE Zero Energy Ready home in northern AZ that...

111

DOE Zero Energy Ready Home Case Study, Mandalay Homes, Phoenix...  

Energy Savers (EERE)

Mandalay Homes, Phoenix, AZ, Affordable DOE Zero Energy Ready Home Case Study, Mandalay Homes, Phoenix, AZ, Affordable Case study of a DOE Zero Energy Ready Home in Phoenix, AZ...

112

DOE Zero Energy Ready Home Case Study: Amerisips Homes, Charleston...  

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

Amerisips Homes, Charleston, SC DOE Zero Energy Ready Home Case Study: Amerisips Homes, Charleston, SC Case study of a DOE Zero Energy Ready home on Johns Island in Charleston, SC,...

113

DOE Zero Energy Ready Home Case Study: Cobblestone Homes, Midland...  

Energy Savers (EERE)

Cobblestone Homes, Midland, MI DOE Zero Energy Ready Home Case Study: Cobblestone Homes, Midland, MI Case study of a DOE Zero Energy Ready home in Midland, MI, that scored HERS 49...

114

Home Energy Saver  

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

Polls Polls Poll questions What kind of energy improvements have you done on your home? If you have a ceiling fan, how many hours per day do you use it? (average summer and winter) Have you tried LED lights in your home? What is your experience using spray foam insulation? How often do you use a home clothesdryer (rather than air drying)? Do you think your home's energy efficiency influences its resale value? More ... Poll questions What kind of energy improvements have you done on your home? If you have a ceiling fan, how many hours per day do you use it? (average summer and winter) Have you tried LED lights in your home? What is your experience using spray foam insulation? How often do you use a home clothesdryer (rather than air drying)? Do you think your home's energy efficiency influences its resale value?

115

Processing Poultry at Home  

E-Print Network (OSTI)

With hot water for scalding, ice water for chilling and a sharp knife, poultry can be processed at home for dressed poultry shows or home consumption. This publication discusses facilities and equipment, New York dressing, evisceration, chilling...

Davis, Michael

2006-01-04T23:59:59.000Z

116

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"

117

OpenEI API listing | OpenEI Community  

Open Energy Info (EERE)

OpenEI API listing OpenEI API listing Home > Groups > Developer Rmckeel's picture Submitted by Rmckeel(297) Contributor 29 June, 2012 - 09:30 developer web services We had an internal OpenEI strategy conversation just this week, and we spoke somewhat indirectly about a list of energy APIs on OpenEI. We have the Energy Hackathon Resource page, but I want to draw energy developers here instead of a plain vanilla page. Wouldn't it be nice to have a list, perhaps a faceted list, of energy APIs, datasets, etc? Well, we might be able to make that happen. I saw http://blog.programmableweb.com/2012/06/24/75-new-apis-adobe-amazon-sendgrid-and-yahoo/, which mentioned the OpenEI listing at http://www.programmableweb.com/api/open-energy-information. Perhaps programmableweb would be a great, updated resource for APIs that we could

118

DOE Challenge Home Label Methodology  

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

A document of the U.S. Department of Energy's Zero Energy Ready Home (formerly Challenge Home) program.

119

Radon in Homes: Recent Developments  

Science Journals Connector (OSTI)

Radon in Homes: Recent Developments ... This report gives an update on current developments regarding the issue of radon in homes. ...

Charles H. Atwood

2006-10-01T23:59:59.000Z

120

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

Note: This page contains sample records for the topic "lists forecasts home" 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

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

122

Aggregate vehicle travel forecasting model  

SciTech Connect

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

123

Homes | Department of Energy  

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

Homes Homes Homes EERE leads a robust network of researchers and other partners to continually develop cost-effective energy-saving solutions that help make our country run better through increased efficiency — promoting better plants, manufacturing processes, and products; more efficient new homes and improved older homes; and other solutions to enhance the buildings in which we work, shop, and lead our everyday lives. EERE leads a robust network of researchers and other partners to continually develop cost-effective energy-saving solutions that help make our country run better through increased efficiency - promoting better plants, manufacturing processes, and products; more efficient new homes and improved older homes; and other solutions to enhance the buildings in which

124

Home Energy Saver  

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

FAQs FAQs Most answers to questions about home energy use depend heavily on details for the specific home in question - the climate where the home is located, it's energy usage patterns, home size, configuration and features. For this reason, we can give general guidance here, but for a more definitive answer use the Home Energy Saver. Not finding what you need here? Try DOE's Information Center. General How can I save energy in my second home, which is unoccupied a large part of the year? What's the most common mistake people make in trying to save energy around the house? We don't own a home; we rent an apartment. What can we do? We have an older house. Which should we do first: insulate or replace the furnace? My neighbor's bills are much lower than mine, even though they have

125

Home Energy Saver  

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

Questions and Answers about the Home Energy Saver Questions and Answers about the Home Energy Saver What is the Home Energy Saver? Home Energy Saver is a Web site for homeowners and renters who want to reduce their energy bills. This home energy information resource employs advanced simulation software with an easy-to-use interface that tells the user how much money he or she spends on the house's energy bills, and how much he or she could save by installing energy-efficient measures and technology. Home Energy Saver is the first site of its kind on the Internet. The site also provides links to many other Web sites to help make these improvements happen, and an email link to experts at the Department of Energy who can answer home energy-related questions. What is the Web site address? http://HES.lbl.gov

126

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

127

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

128

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.

129

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

130

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.

131

CAMD Cleanroom Chemical List  

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

CAMD Cleanroom Chemical List Chemicals on this list are routine use chemicals in the CAMD Cleanroom and are available to users for general use. All others (*) are approved for use...

132

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

133

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

134

Home-based businesses | ENERGY STAR Buildings & Plants  

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

Home-based businesses Home-based businesses Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section Network list Join the network Technical resources Ask a technical question Auto dealers Grocery and convenience stores Home-based businesses Lodging Renters and tenants Restaurants Frequently asked questions Home-based businesses Saving energy for your home-based business may seem like a challenge, but

135

Home Energy Use | Data.gov  

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

Home Energy Use Home Energy Use Energy Data Apps Maps Challenges Resources Blogs Let's Talk Energy Beta You are here Data.gov » Communities » Energy » Forums Home Energy Use Submitted by Jeanne Holm on Thu, 09/15/2011 - 2:35am Log in to vote 3 What tools would help you plan energy efficiency upgrades to your home? Are there current tools that you use when planning your upgrades that should be listed on Energy.Data.gov? Add new comment Home energy efficiency upgrades & tools Permalink Submitted by Ryan McKeel on Mon, 09/26/2011 - 11:56am. Last year, I did a number of energy efficiency upgrades on my house. The tax credits helped, and I used http://www.rechargecolorado.com/ as a "shopping cart" for which upgrades/incentives I wanted to use - that was helpful.As far as tools go, I think IMBY (In my Backyard) is an excellent

136

Returning Home After a Disaster: Supply List (Spanish)  

E-Print Network (OSTI)

?a. No utilice el agua del pozo hasta que un representante del departamento de salud local o alg?n otro profesional la hayan probado. Botiqu?n de primeros auxilios: Incluya dos pares de guantes esterilizados, gasa, jab?n, toallas humedecidas con antibi?ticos y...

Norman, Lisa

2007-10-08T23:59:59.000Z

137

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.

138

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

139

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

140

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 "lists forecasts home" 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

An Improved Model To Forecast Co2 Leakage Rates Along A Wellbore | Open  

Open Energy Info (EERE)

Model To Forecast Co2 Leakage Rates Along A Wellbore Model To Forecast Co2 Leakage Rates Along A Wellbore Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: An Improved Model To Forecast Co2 Leakage Rates Along A Wellbore Details Activities (0) Areas (0) Regions (0) Abstract: Large-scale geological storage of CO2 is likely to bring CO2 plumes into contact with a large number of existing wellbores. Wellbores that no longer provide proper zonal isolation establish a primary pathway for a buoyant CO2-rich phase to escape from the intended storage formation. The hazard of CO2 leakage along these pathways will depend on the rate of leakage. Thus a useful component of a risk assessment framework is a model of CO2 leakage. Predicting the flux of CO2 along a leaking wellbore requires a model of fluid properties and of transport along the leakage

142

Products and Building Services for Energy-Efficient Homes | Department of  

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

Products and Building Services for Energy-Efficient Homes Products and Building Services for Energy-Efficient Homes Products and Building Services for Energy-Efficient Homes April 26, 2012 - 10:37am Addthis Production builder Centex Homes built ultra-efficient model homes in San Ramon, California.’s Aventura and Lunaria community developments. Credit: Davis Energy Group. Production builder Centex Homes built ultra-efficient model homes in San Ramon, California.'s Aventura and Lunaria community developments. Credit: Davis Energy Group. Here you'll find a list of products and services for buyers and builders of new energy-efficient homes. Builder and Product Information Climate Zone Best Practices and Case Studies Building Technologies Program: Building America Energy-Efficient Mortgages Program U.S. Department of Housing and Urban Development>

143

Products and Building Services for Energy-Efficient Homes | Department of  

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

Products and Building Services for Energy-Efficient Homes Products and Building Services for Energy-Efficient Homes Products and Building Services for Energy-Efficient Homes April 26, 2012 - 10:37am Addthis Production builder Centex Homes built ultra-efficient model homes in San Ramon, California.’s Aventura and Lunaria community developments. Credit: Davis Energy Group. Production builder Centex Homes built ultra-efficient model homes in San Ramon, California.'s Aventura and Lunaria community developments. Credit: Davis Energy Group. Here you'll find a list of products and services for buyers and builders of new energy-efficient homes. Builder and Product Information Climate Zone Best Practices and Case Studies Building Technologies Program: Building America Energy-Efficient Mortgages Program U.S. Department of Housing and Urban Development>

144

Home Energy Saver  

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

Media Coverage and Other References to the Home Energy Saver Media Coverage and Other References to the Home Energy Saver Following are examples of the media coverage being received by the Home Energy Saver (HES). A large number of organizations and blogs link to the Home Energy Saver from their web sites. These include media companies, consumer-oriented web sites, energy utilities, state energy offices, educational institutions, and energy consulting firms. Print and Other Media MSN Real Estate - February Home-Maintenance Checklist, February 3, 2012 [PDF] GreenBuildingAdvisor.com - Weighing the Merits of Spray-Foam Insulation, January 23, 2012 [PDF] Bing - The Sun Rises on Solar Power, January 19, 2012 [PDF] Mother Nature Network - How to Save Energy at Home, January 17, 2012 [PDF] Case Remodeling - 10 Green Analysis Online Tools and Job

145

Home Energy Saver  

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

What's New at the Home Energy Saver What's New at the Home Energy Saver Home Energy Saver 2.0! We have relaunched the Home Energy Saver. Enjoy the new-and-improved user interface, major data updates, and a ten-times improvement in run time. Keep your eyes open for new features in the coming months. We're on cloud 9(99999999): We have migrated all HES infrastructure to a cloud computing platform, which provides virtually perfect reliability, scalability, and improved performance. Runtime cut 90%. Thanks to our crack programmers, the 40-second runtimes that HES users may have become (somewhat) used to, have been slashed to about 4 seconds. 6 million and counting. The 6-millionth person visited HES in January 2010. Home Energy Saver Pro: We have created a new version of Home Energy Saver for building professionals: HESpro. It currently has limited functionality,

146

Home Energy Saver  

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

Readings Readings No-Regrets Remodeling Selected excerpts from the book DIY from Home Energy magazine Roofs: Snowy and icy indicators of wasted money. Benchmarking: Compare a home's energy usage to that of similar homes. Air Sealing: Frozen pipe dilemnas. Refrigeration: Eight year olds burn a lot of energy. Walls and Windows: Sealing up a home's leaks. Energy Myths: Special web preview from Home Energy magazine Sept./Oct. 2001. Optimizing Your Ceiling Fan: Be more comfortable and save energy. Better Breathing: How to avoid mold, mildew, and that cave-like feeling. Beware the Closed Bedroom Door: It seems like such a simple act, but carbon monixde poisoning, smoke, and mold may follow. Sucking in Health Hazards: Does a house smell like a sewer? Energy Efficient Lighting: Can homes save money with compact

147

Home Energy Saver  

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

Hidden Cost of Home Energy Use Hidden Cost of Home Energy Use By improving your home's energy efficiency, you can profit in three ways: save money, improve your life, and help the earth, and making your home safer and more comfortable. Annual Carbon Dioxide Emissions from the Average House vs. the Average Car: Each year the average house releases over twice as much greenhouse gases as the typical car. House: 22,000 lbs/CO2 Car: 10,000 lbs/CO2 Many people believe that their car is the largest single source of air pollution for which they are personally responsible. But in fact, the average home causes the emission of more than twice as much carbon dioxide-the principal greenhouse gas-as the average car. This is because most of the energy consumed in our homes is produced by burning fossil fuels like coal, oil, and natural gas. This pollution is actually a

148

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

149

Building America Efficient Solutions for Existing Homes Case Study: Retrofit of 1915 Home, Dayton, Washington  

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

This case study lists project information, cost and energy efficiency performance data, energy efficiency measures and lessons learned for a 1915 home in eastern Washington audited by Pacific Northwest National Laboratory for an energy retrofit. The asbestos covered diesel boiler was left in place in the basement and a new SEER 16, HSPF 9.4 ductless heat pump with four inside heads was added to cut energy costs over $2,000/year.

150

Home | Better Buildings Workforce  

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

Better Buildings Logo Better Buildings Logo EERE Home | Programs & Offices | Consumer Information Search form Search Search Better Buildings Logo Better Buildings Workforce Home Framework Resources Projects Participate Home Framework Resources Projects Better Buildings Workforce Guidelines Buildings Re-tuning Training ANSI Energy Efficiency Standards Collaborative Energy Performance-Based Acquisition Training Participate For a detailed project overview, download the Better Buildings Workforce Guidelines Fact Sheet Home The Better Buildings Initiative is a broad, multi-strategy initiative to make commercial and industrial buildings 20% more energy efficient over the next 10 years. DOE is currently pursuing strategies across five pillars to catalyze change and accelerate private sector investment in energy

151

HUD Home Improvements  

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

Provides a collection of information, resources, and updates related to home improvements and insurance for manufactured housing. Author: U.S. Department of Housing and Urban Development

152

Home Automation Using Elvin.  

E-Print Network (OSTI)

?? Home automation systems of today tend to be external solutions to an existing product that enable rather complex and expensive communications equipment to be… (more)

Malm, Anders

2005-01-01T23:59:59.000Z

153

Home Safety: Radon Gas  

E-Print Network (OSTI)

Every home should be tested for radon, an invisible, odorless, radioactive gas that occurs naturally. This publication explains the health risks, testing methods, and mitigation and reduction techniques....

Shaw, Bryan W.; Denny, Monica L.

1999-11-12T23:59:59.000Z

154

86 Home Power #49 October / November 1995 Code Corner  

E-Print Network (OSTI)

Code and Cable Updates John Wiles ©1995 John Wiles T he final changes to the 1996 National Electrical of the small size. Underwriters Laboratories (UL) will be working with the cable manufacturers to list such cab86 Home Power #49 · October / November 1995 Code Corner Code Corner The 1996 National Electrical

Johnson, Eric E.

155

Yahoo! My Yahoo! Mail --Home News Home Hel  

E-Print Network (OSTI)

Yahoo! My Yahoo! Mail Search Sign In - -Home News Home Hel News Finance Sports Movies Welcome dalemeade08540 Sign Out Yahoo! India News Mon, Apr 18, 2005 Search News Stories for Search News Home Top

156

The Home Microbiome Project  

SciTech Connect

The Home Microbiome Project is an initiative aimed at uncovering the dynamic co-associations between people's bacteria and the bacteria found in their homes.The hope is that the data and project will show that routine monitoring of the microbial diversity of your body and of the environment in which you live is possible.

Gilbert, Jack

2014-08-25T23:59:59.000Z

157

The Home Microbiome Project  

ScienceCinema (OSTI)

The Home Microbiome Project is an initiative aimed at uncovering the dynamic co-associations between people's bacteria and the bacteria found in their homes.The hope is that the data and project will show that routine monitoring of the microbial diversity of your body and of the environment in which you live is possible.

Gilbert, Jack

2014-09-15T23:59:59.000Z

158

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

159

The Homing Instinct  

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

Homing Instinct Homing Instinct Nature Bulletin No. 515-A February 2, 1974 Forest Preserve District of Cook County George W. Dunne, President Roland F. Eisenbeis, Supt. of Conservation THE HOMING INSTINCT We share with our dogs, cats and other domestic animals an attachment to a place we both regard as home. If one of these animals strays, or is sold to a new owner, or is carried away and abandoned, it acts lost and homesick as it struggles to grope its way back. This is easy to see in pets and among livestock on farms. Surprisingly, many such displaced animals do find their way home, often through miles of strange country. Less commonly known is the remarkable ability of a wide variety of wild creatures to navigate unknown territory with pinpoint accuracy -- birds, bats, mice, turtles, fish, insects, and many others.

160

Home Energy Saver  

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

No-Regrets Remodeling No-Regrets Remodeling Excerpts from No-Regrets Remodeling by the people at Home Energy magazine. Note: This book was published in 1997. While most of the information is timeless, some items may be out-dated. Your Kitchen Cooking Appliances Electric or Gas Kitchen Ranges? Refrigerators Your Home Office Home Office Equipment Power Ratings of Office Equipment Your Heating Heating: General Home Performance Contractors Oil System Upgrades Combined (Indirect) Hot Water & Heating Systems Combined (Integrated) Space & Water Heating The Thermostat is in Control Time for an Energy Switch? Your Cooling Tips for Buying a New Air Conditioner Cool Roofs for Hot Climates Evaporative Cooler Tips Ventilation, Ducts, Moisture, and Air Leakage Common Air Leakage Sites in the Home

Note: This page contains sample records for the topic "lists forecasts home" 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

Home Energy Saver  

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

Saver(tm) (HES) empowers homeowners and renters to save Saver(tm) (HES) empowers homeowners and renters to save money, live better, and help the earth by reducing energy use in their homes. HES recommends energy-saving upgrades that are appropriate to the home and make sense for the home's climate and local energy prices. The money invested in these upgrades commonly earns "interest" in the form of energy bill savings, at an annual rate of 20% or more (see examples). HES also estimates the home's carbon footprint and shows how much it can be reduced. For professional users, we also offer HESpro and teachers and students can check out Energized Learning. The upgrades recommended by HES offer other benefits as well. Depending on the type of improvement made, the home can achieve better comfort (warmer

162

Technology Deployment List  

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

Spreadsheet details new and underutilized technologies ranked for Federal deployment by the Federal Energy Management Program. The list was last updated in 2012.

163

Communication in Home Area Networks  

E-Print Network (OSTI)

and recognition in home automation and LonWorks is widelymajor market share in home automation, especially in the BB-light controls and home automations. LonWorks is a low data

Wang, Yubo

2012-01-01T23:59:59.000Z

164

Agency datasets monthly list | Data.gov  

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

FY12 CPD Formula Allocation The Fiscal Year (FY) 2012 budget for the Department of Housing and Urban Development has been enacted. This spreadsheet provide full-year allocations for the Office of Community Planning and Development's (CPD) formula programs: Community Development Block Grants (CDBG); HOME Investment Partnerships (HOME), Housing Opportunities for Persons with AIDS (HOPWA); and Emergency Solutions Grants (ESG). The allocations reflect the level of funding approved for these programs in your community. The amounts also reflect approved grant reductions and include any reallocated funds for the CDBG and HOME programs. HUD Construction and Housing 2013-02-11 13:24:41 FY12 CPD Formula Allocation The Fiscal Year (FY) 2012 budget for the Department of Housing and Urban Development has been enacted. This spreadsheet provide full-year allocations for the Office of Community Planning and Development's (CPD) formula programs: Community Development Block Grants (CDBG); HOME Investment Partnerships (HOME), Housing Opportunities for Persons with AIDS (HOPWA); and Emergency Solutions Grants (ESG). The allocations reflect the level of funding approved for these programs in your community. The amounts also reflect approved grant reductions and include any reallocated funds for the CDBG and HOME programs. HUD Construction and Housing 2013-02-11 13:24:41 FY11 Coc Awards This report displays the renewal homeless assistance projects being awarded by HUD under the 2011 Continuum of Care (CoC) competitive grants process. Approximately $1.47 billion ($1,473,690,179) is being awarded for renewal competitive programs. The competitive programs provide funding for transitional and permanent housing and supportive services. These reports are organized by state and then by continuum, or community. Within each listed continuum are the organizations that will be assisted with HUD's awards for competitive programs. HUD Construction and Housing 2013-03-11 07:25:09

165

Short Term Load Forecasting with Fuzzy Logic Systems for power system planning and reliability?A Review  

Science Journals Connector (OSTI)

Load forecasting is very essential to the operation of Electricity companies. It enhances the energy efficient and reliable operation of power system. Forecasting of load demand data forms an important component in planning generation schedules in a power system. The purpose of this paper is to identify issues and better method for load foecasting. In this paper we focus on fuzzy logic system based short term load forecasting. It serves as overview of the state of the art in the intelligent techniques employed for load forecasting in power system planning and reliability. Literature review has been conducted and fuzzy logic method has been summarized to highlight advantages and disadvantages of this technique. The proposed technique for implementing fuzzy logic based forecasting is by Identification of the specific day and by using maximum and minimum temperature for that day and finally listing the maximum temperature and peak load for that day. The results show that Load forecasting where there are considerable changes in temperature parameter is better dealt with Fuzzy Logic system method as compared to other short term forecasting techniques.

R. M. Holmukhe; Mrs. Sunita Dhumale; Mr. P. S. Chaudhari; Mr. P. P. Kulkarni

2010-01-01T23:59:59.000Z

166

Home Energy Score Sample Report  

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

The Home Energy Score is a national rating system developed by the U.S. Department of Energy. The Score reflects the energy efficiency of a home based on the home’s structure and heating, cooling, and hot water systems. The Home Facts provide details about the current structure and systems. Recommendations show how to improve the energy efficiency of the home to achieve a higher score and save money.

167

Home Energy Audits: Making Homes More Energy Efficient and Comfortable |  

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

Home Energy Audits: Making Homes More Energy Efficient and Home Energy Audits: Making Homes More Energy Efficient and Comfortable Home Energy Audits: Making Homes More Energy Efficient and Comfortable March 21, 2013 - 12:00pm Q&A Have a story about improving your home's energy efficiency? Share your story with us & it could be the next one we profile on energy.gov! Share your story Addthis Learn how a home energy audit is helping Seth Budick and his family save money on their energy bills, reduce their carbon footprint and make their home more comfortable. | Photo courtesy of Seth Budick. Learn how a home energy audit is helping Seth Budick and his family save money on their energy bills, reduce their carbon footprint and make their home more comfortable. | Photo courtesy of Seth Budick. Rebecca Matulka Rebecca Matulka

168

Home Energy Audits: Making Homes More Energy Efficient and Comfortable |  

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

Home Energy Audits: Making Homes More Energy Efficient and Home Energy Audits: Making Homes More Energy Efficient and Comfortable Home Energy Audits: Making Homes More Energy Efficient and Comfortable March 21, 2013 - 12:00pm Q&A Have a story about improving your home's energy efficiency? Share your story with us & it could be the next one we profile on energy.gov! Share your story Addthis Learn how a home energy audit is helping Seth Budick and his family save money on their energy bills, reduce their carbon footprint and make their home more comfortable. | Photo courtesy of Seth Budick. Learn how a home energy audit is helping Seth Budick and his family save money on their energy bills, reduce their carbon footprint and make their home more comfortable. | Photo courtesy of Seth Budick. Rebecca Matulka Rebecca Matulka

169

NREL: Continuum Magazine Home Page  

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

6 Print Version Share this resource Continuum Magazine Dan Says NREL Provides a Foundation for Home Energy Performance NREL Provides a Foundation for Home Energy Performance...

170

Home Heating | Department of Energy  

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

Home Heating Everything you need to know about home heating, including how heating systems work, the different types on the market and proper maintenance. Read more Thermostats...

171

STEO October 2012 - home heating supplies  

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

Natural gas, propane, and electricity supplies seen plentiful Natural gas, propane, and electricity supplies seen plentiful this winter for U.S. home heating Supplies of the major heating fuels used by most U.S. households are expected to be plentiful this winter, with the possible exception of heating oil, which is consumed mostly by households in the Northeast. Heating oil stocks are expected to be low in the East Coast and Gulf Coast states. And with New York state requiring heating oil with lower sulfur levels for the first time, the heating oil market is expected to be tighter this winter, according to the U.S. Energy Information Administration's new winter fuels forecast. However, U.S. inventories of natural gas, the most common primary heating fuel used by households and a key fuel for electricity generation, is expected to reach 3.9 trillion cubic feet by

172

DOE Zero Energy Ready Home Case Study: Green Extreme Homes & Carl Franklin Homes, Garland, TX  

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

Case study of a DOE Zero Energy Ready affordable home in Garland, TX, that was the first retrofit home certified to the DOE Zero Energy Ready home requirements. The construction team achieved a...

173

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

174

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

175

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

176

Building Programming List Procedures  

E-Print Network (OSTI)

1 6.090 Building Programming Experience Lecture 4 1/16/2007 Outline · List Procedures · Compound)) (define (reverse-helper l r) (if (null? l) r (reverse-helper (cdr l) (cons (car l) r)))) list-ref · Write

177

List of Math Libraries  

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

Libraries List List of Math Libraries Package Platform Version Module Install Date Date Made Default acml genepool 5.1.0 acml5.1.0 2012-07-07 ACML hopper 4.4.0 acml4.4.0...

178

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.

179

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...

180

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...

Note: This page contains sample records for the topic "lists forecasts home" 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

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

182

HomeLab: shared infrastructure for home technology field studies  

Science Journals Connector (OSTI)

Researchers who develop new home technologies using connected devices (e.g. sensors) often want to conduct large-scale field studies in homes to evaluate their technology, but conducting such studies today is quite challenging, if not impossible. Considerable ... Keywords: devices, domestic technology, home automation, smart home

A. J. Bernheim Brush; Jaeyeon Jung; Ratul Mahajan; James Scott

2012-09-01T23:59:59.000Z

183

PNNL Laboratory Research Homes Pacific Northwest National Laboratory's Lab Homes  

E-Print Network (OSTI)

-efficient homes. The homes will be fully instrumented with controllable circuits, dual heating systems,500 square-foot Lab Homes for experiments focused on reducing energy use and peak demand on the electric grid in homes throughout the U.S." ­ Steve Shankle Director PNNL Electricity Infrastructure and Buildings

184

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

185

Home Energy Saver  

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

Seasons of Life Seasons of Life Changes in life mean changes in energy use, and opportunities to use that energy more efficiently. Looking for a rental: Just because you don't own a home doesn't mean you can't expect it to be efficient. Ask your prospective landlord what the energy costs are, and find out which forms of energy you pay for. Ask if any energy-efficiency upgrades are planned. A "free" appliance provided by your landlord may not be such a good deal if energy use is high. Use the appliances wisely: Manage your thermostat well Pay attention to dishwasher, clothes washer, and water heater settings.Meanwhile, lights, computers, televisions, and other devices you own and bring into the home are important energy users - shop wisely when you buy them. Home purchase: For most of us, buying a home is our greatest investment,

186

Home Energy Saver  

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

Choosing a Good Contractor Choosing a Good Contractor If your project goes much beyond replacing lights and a few appliances, you would probably benefit from using a home performance contractor. The book No-Regrets Remodeling provides a good definition if this emerging specialty: Because the whole-house, or systems, approach to homes is a fairly new concept, not everyone in the building trades is familiar with it. And it goes against traditional building practice, which is based on specialty trades. You probably already know how that goes: a different contractor for every task. And none of them has any idea what the other is doing. This is changing with the emergence of the home performance contractor, a person trained and equipped to test homes to see where problems exist. These

187

Home Energy Score graphic  

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

Home Facts Score Air-tightness Air leakage rate 4,200 CFM50 Roof, attic & foundation Roof Roof construction Roof(Standard Roof): Composition Shingles or Metal: R-0 Roof...

188

nstec_home.xls  

National Nuclear Security Administration (NNSA)

2309 NSTec Employees Home Address Counts by State and Zip Code State Postal Total AL 35811 1 AL Total 1 AZ 85032 1 85282 1 85331 1 85353 1 86004 1 86045 1 86305 1 86413 1 86432 1...

189

HomeCooling101  

Energy Savers (EERE)

openings to prevent warm air from leaking into your home. Insulate and seal ducts -- air loss through ducts accounts for about 30 percent of a cooling system's energy consumption....

190

Home Energy Saver  

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

Mission Statement Mission Statement This page describes the overall mission of the Home Energy Saver project as well as ways in which private sector software developers and others can tap our content and calculation engine. Mission The Home Energy Saver web site (HES, http://HomeEnergySaver.lbl.gov) is an interactive do-it-yourself home energy assessment tool, combined with extensive decision-support content. Its aims are support national initiatives to increase consumer interest in energy efficiency and to foster market activities that capture those opportunities. The site is developed and maintained by the Lawrence Berkeley National Laboratory with sponsorship from the U.S. Department of Energy (DOE) and others. HES supports the federal energy mission by helping to build national

191

Home Energy Score Program  

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

Home Energy Score Program Home Energy Score Program Peer Review April 3, 2013 Joan Glickman, US DOE Norm Bourassa, LBNL joan.glickman@ee.doe.gov, 202-586-5607 njbourassa@lbl.gov, 510-495-2677 BTO Program Peer Review 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem Statement: * Significant underinvestment in energy efficiency in residential sector * High costs of traditional energy audits and ratings * No standard method for understanding and comparing the energy efficiency

192

Home Energy Score Program  

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

Home Energy Score Program Home Energy Score Program Peer Review April 3, 2013 Joan Glickman, US DOE Norm Bourassa, LBNL joan.glickman@ee.doe.gov, 202-586-5607 njbourassa@lbl.gov, 510-495-2677 BTO Program Peer Review 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem Statement: * Significant underinvestment in energy efficiency in residential sector * High costs of traditional energy audits and ratings * No standard method for understanding and comparing the energy efficiency

193

Home Inspection Checklist.  

E-Print Network (OSTI)

the checklist in advance so you will know what you need to inspect at each home. In addition to the checklist, bring the tools to do the job. These include a clip board, paper, pencil, pocket knife, flashlight, tape measure, screwdriver, electrical circuit... tester and binoculars. Consider a Professional Inspection If you have satisfied your own general expectations and are planning on buying a particular home, consider having a professional inspection. As you choose a professional inspector for the job...

Quiring, Susan M.

1987-01-01T23:59:59.000Z

194

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

195

/home/hoagland/suid /usr/export/home/jhoaglan/  

E-Print Network (OSTI)

505: fork 500: 502: jhoaglan root audit id for audit id for euid for euid for oo vfork /home/hoagland/suid 501: /usr/export/home/jhoaglan/ vfork 505: fork 500: 502: jhoaglan root audit id for audit id for euid for euid for vfork /home/hoagland/suid 501: /usr/export/home/jhoaglan/ 505: fork 502: oo 506: /usr/export/home

California at Davis, University of

196

Home Energy Score FAQs for Partners  

Energy Savers (EERE)

What types of homes can get a Home Energy Score? Where is the Home Energy Score offered? Who can become a Home Energy Score Partner? Why should I become a Home Energy Score...

197

Home Energy Score FAQs for Homeowners  

Energy Savers (EERE)

Why should I get a Home Energy Score? What types of homes can get a Home Energy Score? How do I get a Home Energy Score? What does the Assessor look for during a Home Energy Score...

198

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

199

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

200

The Fermilab Bird List  

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

The Fermilab Bird List The Fermilab Bird List Data compilation by Peter Kasper. See the following link information concerning the Current Status of Access to Fermilab The following pages contain lists, of nearly all the bird species recorded within the Fermilab site boundaries. The names and ordering follow that of the American Ornithologists Union's check-list of North American birds. The lists also indicate at what time of year each species was found. To do this we have divided each year into 48 quarter-months and split the entire survey into five year periods. The first period started in 1987. A symbol is entered into the table for each record, indicating in which survey periods the record occurred. A legend describing these symbols is included with each page. Each list entry also contains a link to some text describing the bird's status on the site. Some exotic species have been excluded from the main list since they are extremely unlikely to have occurred naturally.

Note: This page contains sample records for the topic "lists forecasts home" 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

Home Buying Employer-Assisted  

E-Print Network (OSTI)

Making Home Buying a Reality Employer-Assisted Housing Program #12;You may take advantage of the purchase price towards a down payment are interested in buying a home in the following eligible community) are a first-time home buyer interested in becoming a home owner in the primary or secondary areas

Butler, Laurie J.

202

Los Alamos names four to Laboratory Fellows list | National Nuclear  

National Nuclear Security Administration (NNSA)

names four to Laboratory Fellows list | National Nuclear names four to Laboratory Fellows list | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Los Alamos names four to Laboratory Fellows list Los Alamos names four to Laboratory Fellows list Posted By Office of Public Affairs Four scientists have been inducted into the Los Alamos National Laboratory

203

Forecast of geothermal drilling activity  

SciTech Connect

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

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

210

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

211

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...

212

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

213

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...

214

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

NLE Websites -- All DOE Office Websites (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...

215

Home, Home (Video) on the Range: Reflections on Small-Town Video Stores in 2010  

E-Print Network (OSTI)

Home,Home (Video) on the Range Reflections on Small-Town VideoFields Journal no. 1 (2010) Home, Home (Video) on the Range

Herbert, Daniel

2010-01-01T23:59:59.000Z

216

DOE Zero Energy Ready Home Case Study: M Street Homes, Houston...  

Office of Environmental Management (EM)

Midland, MI DOE Zero Energy Ready Home Case Study, Mandalay Homes, Phoenix, AZ, Affordable DOE Zero Energy Ready Home Case Study, Caldwell and Johnson, Exeter, RI, Custom Home...

217

Building America Whole-House Solutions for New Homes: Winchester Homes and Camberley Homes  

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

In this project, Winchester/Camberley Homes worked with Partnership for Home Innovation team to develop and test a new set of high performance homes designs and techniques that could be applied on a production scale, including advanced framing and materials and innovative work scopes. The test home compared theoretical performance characteristics with measured results.

218

Associative list processing unit  

DOE Patents (OSTI)

An associative list processing unit and method comprising employing a plurality of prioritized cell blocks and permitting inserts to occur in a single clock cycle if all of the cell blocks are not full.

Hemmert, Karl Scott; Underwood, Keith D

2014-04-01T23:59:59.000Z

219

LEDP - New Listings  

Office of Scientific and Technical Information (OSTI)

ledp The listing of new equipment available through the LEDP Grant Program. http:www.osti.govledpdetails.jsp?micnum89312850080014 28 Jan 2015 00:00:00 -0500 http:...

220

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

SciTech Connect

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

Note: This page contains sample records for the topic "lists forecasts home" 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

Home Energy Rebate Option (HERO) - Existing Homes Program | Department of  

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

You are here You are here Home » Home Energy Rebate Option (HERO) - Existing Homes Program Home Energy Rebate Option (HERO) - Existing Homes Program < Back Eligibility Residential Savings Category Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Other Maximum Rebate $3,000 Program Info Funding Source American Recovery and Reinvestment Act Expiration Date 06/11/2013 State Louisiana Program Type State Rebate Program Rebate Amount 20% of improvement costs Provider Louisiana Department of Natural Resources '''''NOTE: All HERO program funding has been allocated as of December 6, 2012. Important dates related to the closure of the program have been announced. Please see summary below for more information. '''''

222

Home Energy Saver for Consumers  

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

Home Energy Saver for Consumers Home Energy Saver for Consumers The Home Energy Saver(tm) (HES) empowers homeowners and renters to save money, live better, and help the earth by reducing energy use in their homes. HES recommends energy-saving upgrades that are appropriate to the home and make sense for the home's climate and local energy prices. The money invested in these upgrades commonly earns "interest" in the form of energy bill savings, at an annual rate of 20% or more. Depending on the type of improvement made, the home can achieve better comfort (warmer in winter, cooler in summer), fewer drafts, lower maintenance costs, and improved security and fire safety-all of which improve life and increase the home's value. HES computes a home's energy use on-line in a matter of seconds based on

223

Geothermal: Home Page  

Office of Scientific and Technical Information (OSTI)

Home Page Home Page Geothermal Technologies Legacy Collection Help/FAQ | Site Map | Contact Us Home/Basic Search About Publications Advanced Search New Hot Docs News Related Links Search for: (Place phrase in "double quotes") Sort By: Relevance Publication Date System Entry Date Document Type Title Research Org Sponsoring Org OSTI Identifier Report Number DOE Contract Number Ascending Descending Search Quickly and easily search geothermal technical and programmatic reports dating from the 1970's to present day. These "legacy" reports are among the most valuable sources of DOE-sponsored information in the field of geothermal energy technology. See "About" for more information. The Geothermal Technologies Legacy Collection is sponsored by the Geothermal Technologies Program, DOE Energy Efficiency and Renewable Energy

224

Home Energy Saver  

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

Tools of the Trade Tools of the Trade Clockwise: IR thermograph, IR camera, Air flow measurement, Blower door, Combustion test for water heater A hammer and a saw used to be the key tools for home contractors. Today, the best-in-breed also use high-tech equipment while performing a professional energy audit or verifying that construction has been done correctly. Infrared cameras can "see" heat loss and find hidden energy savings opportunities. PFT tests or blower door tests measure a homes air leakage and tell you when sealing has been successful. Combustion monitoring equipment and indoor-air pollution detectors ensure that a heating system is not only efficient but also not dumping dangerous pollutants into the home. All of these practices should be conducted with a

225

Home Energy Saver  

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

Profitability of Energy Efficiency Upgrades Profitability of Energy Efficiency Upgrades Application of these 10 energy efficiency measures in a typical home yields nearly $600 in annual bill savings, and an impressive 16% overall return on investment. Diagram providing a representative view of the high profitability of energy efficiency upgrades This diagram provides a representative view of the high profitability of energy efficiency upgrades. Note that the home evaluated here is located in an average U.S. climate and has a heat pump, electric water heater, clothes washer, clothes dryer, and dishwasher. The example cost-effectively surpasses the 30% savings target for existing homes under PATH (The Partnership for Advancing Technology in Housing). In fact, all of these measures yield a higher return on investment than an

226

Passive solar homes. [Glossary  

SciTech Connect

The concept of passive solar energy is described; the various functions which passive solar systems must perform are explained; and the various types of passive systems found in the Cycle 5 projects are discussed. Each of 91 solar home designs are discussed and some of the key points raised in the discussion of passive solar concepts are indicated in these descriptions and on the illustrations. Additional detail on issues of climate requirements and site design concerns, examples of building construction details showing good practice, and suggestions on how to market solar homes are included. The appendices address more technical aspects of the design and evaluation of passive solar homes, and provide information on other resources available to those involved in passive solar housing. (MHR)

McPhillips, M.; Powell, P.C. (eds.)

1982-01-01T23:59:59.000Z

227

Mountain Home Well - Photos  

SciTech Connect

The Snake River Plain (SRP), Idaho, hosts potential geothermal resources due to elevated groundwater temperatures associated with the thermal anomaly Yellowstone-Snake River hotspot. Project HOTSPOT has coordinated international institutions and organizations to understand subsurface stratigraphy and assess geothermal potential. Over 5.9km of core were drilled from three boreholes within the SRP in an attempt to acquire continuous core documenting the volcanic and sedimentary record of the hotspot: (1) Kimama, (2) Kimberly, and (3) Mountain Home. The Mountain Home drill hole is located along the western plain and documents older basalts overlain by sediment. Data submitted by project collaborator Doug Schmitt, University of Alberta

John Shervais

2012-01-11T23:59:59.000Z

228

Mountain Home Well - Photos  

DOE Data Explorer (OSTI)

The Snake River Plain (SRP), Idaho, hosts potential geothermal resources due to elevated groundwater temperatures associated with the thermal anomaly Yellowstone-Snake River hotspot. Project HOTSPOT has coordinated international institutions and organizations to understand subsurface stratigraphy and assess geothermal potential. Over 5.9km of core were drilled from three boreholes within the SRP in an attempt to acquire continuous core documenting the volcanic and sedimentary record of the hotspot: (1) Kimama, (2) Kimberly, and (3) Mountain Home. The Mountain Home drill hole is located along the western plain and documents older basalts overlain by sediment. Data submitted by project collaborator Doug Schmitt, University of Alberta

Shervais, John

229

Home Energy Score: Information for Home Energy Assessors | Department of  

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

Home Energy Assessors Home Energy Assessors Home Energy Score: Information for Home Energy Assessors To offer the Home Energy Score to homeowners, Qualified Assessors work directly with Home Energy Score Partners and must be certified as a Building Performance Institute (BPI) Building Analyst or a Residential Energy Services Network (RESNET) HERS Rater, and receive a passing grade on DOE's Home Energy Scoring Tool test. DOE provides interested assessors with access to training materials and after being qualified, access to the online Scoring Tool and data collection sheet. Training Opportunities In April 2013, DOE began to develop a 3-D immersive simulation training and testing (3-DISTT) software program for interested Home Energy Score assessors. The 3-DISTT software uses computer-based simulations to recreate

230

Home Energy Solutions for Existing Homes | Department of Energy  

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

Home Energy Solutions for Existing Homes Home Energy Solutions for Existing Homes Home Energy Solutions for Existing Homes < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Commercial Weatherization Sealing Your Home Ventilation Manufacturing Heat Pumps Appliances & Electronics Water Heating Windows, Doors, & Skylights Program Info Funding Source Public Benefits Fund State Oregon Program Type State Rebate Program Rebate Amount Air Sealing: $150 Duct Insulation: 50% of cost up to $100 Gas Boiler: $200 Direct Vent Gas Fireplace: $200-$250 Direct Vent Gas Unit Heater: $100 Heat Pumps: $250 - $450, depending on efficiency and previous heating system Heat Pump Test: $150 Heat Pump Advanced Controls: $250 Ductless Heat Pump: $800

231

DOE Challenge Home (Now Zero Energy Ready Home) - Building America...  

Energy Savers (EERE)

builders across the country signed on to DOE's Builders Challenge and more than 14,000 homes earned the label. These homes are saving homeowners over 10 million a year in utility...

232

RESIDENTIAL THERMOSTATS: COMFORT CONTROLS IN CALIFORNIA HOMES  

E-Print Network (OSTI)

of HVAC Installations in New Homes in Nevada Power Company’sof HVAC Installations in New Homes in APS Service Territory.Interface: Consolidated Home Control. Personal and

Meier, Alan K.

2008-01-01T23:59:59.000Z

233

K. Hovnanian Homes | Open Energy Information  

Open Energy Info (EERE)

Hovnanian Homes Jump to: navigation, search Name: K. Hovnanian Homes Place: Red Bank, NJ Website: http:www.khov.com References: K. Hovnanian Homes1 Information About...

234

La Mirada Homes | Open Energy Information  

Open Energy Info (EERE)

Mirada Homes Jump to: navigation, search Name: La Mirada Homes Place: Tucson, AZ Website: http:www.lamiradahomes.com References: La Mirada Homes1 Information About Partnership...

235

Home Network Technologies and Automating Demand Response  

E-Print Network (OSTI)

potential role of home automation networks in implementinghow existing and future home automation systems may providehome networks" and "home automation" are frequently used

McParland, Charles

2010-01-01T23:59:59.000Z

236

1993 Solid Waste Reference Forecast Summary  

SciTech Connect

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

237

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

SciTech Connect

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

238

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

239

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

240

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

Note: This page contains sample records for the topic "lists forecasts home" 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

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

SciTech Connect

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

242

DOE DRIVER LISTING  

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

DRIVER LISTING DRIVER LISTING 1. The lines that have been redlined are orders that have been cancelled and not replaced with anything else. 2. This list was current as of 1/1/98. DRIVERTYPE DRIVERCODE TITLE REV_DATE EO ACQUISITION EO 12873, Federal Acquisition, Recycling, and Waste Prevention 09/25/1994 EO ALTERNATIVE FUEL EO 12844, Federal Use of Alternative Fueled Vehicles 09/25/1994 EO COMPUTER EO 12845, Requiring Agencies to Purchase Energy Efficient Compute 09/25/1994 EO CULTURAL EO 11593, Protection & Enhancement of Cultural Environment 09/25/1994 EO ENV DAMAGE EO 12286, Response to Environmental Damage 09/25/1994 EO ENV QUALITY EO 11991, Protect/Enhancement of Environmental Quality 09/25/1994 EO ENV SAFEGUARDS EO 12342, Env. Safeguards/Animal Damage Control on Federal Lands 09/25/1994

243

Building America Efficient Solutions for New Homes Case Study...  

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

Ravenwood Homes and Energy Smart Home Plans, Inc., Cape Coral, Florida Building America Efficient Solutions for New Homes Case Study: Ravenwood Homes and Energy Smart Home Plans,...

244

Internal Resources Home  

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

Budget Budget Proposals Human Resources Administration Internal Resources Administration--Includes an Administrative Services Directory and an A-Z index. Budget - Contacts Employee Talent Profile System--A system, launched by Jay Keasling in late 2012, populated with profiles of both scientists and non-scientists, meant to be a resource for the creation of teams across the Biosciences Area and the persue of collective funding opportunities both internal and external to the Laboratory. Complete your profile and look for more system enhancements in the coming year. Equipment List (viewable by Berkeley Lab staff only) -- A list of equipment used in the Life Sciences Division. Several equipment needs training prior to use, therefore, please always contact the person responsible if interested in using the equipment. If listed as a contact on

245

A longitudinal evaluation of residents’ health outcomes in nursing homes and residential care homes in Taiwan  

Science Journals Connector (OSTI)

The role of nursing homes (NHs) and residential care homes (RHs) frequently overlaps in Taiwan, raising...

Li-Fan Liu; Miin-Jye Wen

2010-09-01T23:59:59.000Z

246

DOE Challenge Home Student Competition  

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

Challenge Home Challenge Home Student Competition April 2013 Contents Background ................................................................................................................................. 3 Summit Participants .................................................................................................................... 4 Key Results .................................................................................................................................. 5 Proposed Framework .................................................................................................................. 6 Suggestions for Submittal Requirements/Scoring Criteria ............................................................ 8 Suggested Competition Prize Options .......................................................................................... 9

247

DOE Challenge Home Label Methodology  

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

October 2012 1 October 2012 1 Label Methodology DOE Challenge Home Label Methodology October 2012 DOE Challenge Home October 2012 2 Label Methodology Contents Background ............................................................................................................................................... 3 Methodology ............................................................................................................................................. 5 Comfort/Quiet .......................................................................................................................................... 5 Healthy Living ........................................................................................................................................... 7

248

Home Weatherization | Department of Energy  

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

Weatherization Weatherization Home Weatherization A home energy audit is the first step to saving energy and money. Our Energy Saver 101 infographic breaks down a home energy audit, explaining what energy auditors look for and the special tools they use to determine where a home is wasting energy. Explore the full infographic now. A home energy audit is the first step to saving energy and money. Our Energy Saver 101 infographic breaks down a home energy audit, explaining what energy auditors look for and the special tools they use to determine where a home is wasting energy. Explore the full infographic now. From air sealing to improving ventilation to adding insulation, home weatherization helps consumers save money by saving energy. Weatherization

249

Communication in Home Area Networks  

E-Print Network (OSTI)

of a power grid, which are utility, power line and consumersthe utility (power generation and management), power line (line connecting to multiple homes, routers can be shared. Home 1 Smart meter Utility

Wang, Yubo

2012-01-01T23:59:59.000Z

250

Home | Menu PrincetonUniversity  

E-Print Network (OSTI)

Home | Menu PrincetonUniversity Tips for Completing the Princeton Financial Aid Application, the family home and retirement funds. · Student's taxable and untaxed income for 2013 - wages, interest

251

EIA - Census Division List  

Gasoline and Diesel Fuel Update (EIA)

Supplemental Tables > Census Division List Supplemental Tables > Census Division List Supplemental Tables to the Annual Energy Outlook 2010 Division 1 Division 2 Division 3 Division 4 Division 5 New England Middle Atlantic East North Central West North Central South Atlantic Connecticut New Jersey Illinois Iowa Delaware Maine New York Indiana Kansas District of Columbia Massachusetts Pennsylvania Michigan Minnesota Florida New Hampshire Ohio Missouri Georgia Rhode Island Wisconsin Nebraska Maryland Vermont North Dakota North Carolina South Dakota South Carolina Virginia West Virginia Division 6 Division 7 Division 8 Division 9 East South Central West South Central Mountain Pacific Alabama Arkansas Arizona Alaska Kentucky Louisiana Colorado California

252

prairie plant list  

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

List of Native Prairie Plant Illustrations List of Native Prairie Plant Illustrations Select the common name of the plant you want to view. Common Name Scientific Name Grasses BIG BLUESTEM Andropogon gerardii INDIAN GRASS Sorghastrum nutans LITTLE BLUESTEM Andropogon scoparius SWITCH GRASS Panicum virgatum CORD GRASS Spartina pectinata NEEDLEGRASS Stipa spartea PRAIRIE DROPSEED Sporobolus pectinata SIDE-OATS GRAMA Bouteloua curtipendula FORBS ROSINWEED Silphium integrifolium SAW-TOOTHED SUNFLOWER Helianthus grossesserratus WILD BERGAMOT Monarda fistulosa YELLOW CONEFLOWER Ratibida pinnata BLACK-EYED SUSAN Rudbeckia hirta COMPASS PLANT Silphium lactiniatum CUP PLANT Silphium perfoliatum NEW ENGLAND ASTER Aster novae-angilae PRAIRIE DOCK Silphium terebinthinaceum RATTLESNAKE MASTER Eryngium yuccifolium STIFF GOLDENROD Solidaga rigida

253

Challenge Home Student Design Competition  

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

The Challenge Home Student Design Competition took place April 26 and 27 at the Energy Department's National Renewable Energy Laboratory.

254

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

255

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

256

DOE Zero Energy Ready Home Case Study, Clifton View Homes, Coupeville...  

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

Study, Clifton View Homes, Coupeville, WA, Systems Home DOE Zero Energy Ready Home Case Study, Clifton View Homes, Coupeville, WA, Systems Home Case-study of a DOE Zero Energy...

257

DOE Zero Energy Ready Home Case Study: One Sky Homes, San Jose...  

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

One Sky Homes, San Jose, CA DOE Zero Energy Ready Home Case Study: One Sky Homes, San Jose, CA DOE Zero Energy Ready Home Case Study: One Sky Homes, San Jose, CA Case study of a...

258

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

259

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

260

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

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


261

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

262

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

263

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

264

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

265

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

266

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

267

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

268

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

269

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.

270

NURSING HOMES BRACE FOR CUTS  

E-Print Network (OSTI)

NURSING HOMES BRACE FOR CUTS FLORIDA: Federal and state losses likely to eat into jobs, amenities in Medicare payments to U.S. nursing homes takes effect this month, which, combined with a 6.5 percent and economically in nursing homes. This, critics say, amounts to both shortsighted fiscal planning and bad medicine

Belogay, Eugene A.

271

Solar homes for the valley  

SciTech Connect

TVA has designed 11 passive solar homes in the public interest to encourage the development of solar housing in the Tennessee Valley region. The program, Solar Homes For The Valley, involves the design, construction, and testing of the 11 designs in each of four microclimatic areas within the region, (total of 44 homes).

Born, B.; Brewer, D.

1980-01-01T23:59:59.000Z

272

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

273

DOE Challenge Home Case Study, Mandalay Homes, Phoenix, AZ, Affordable  

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

Mandalay Mandalay Homes Phoenix, AZ BUILDING TECHNOLOGIES OFFICE DOE Challenge Home builders are in the top 1% of builders in the country meeting the extraordinary levels of excellence and quality specifi ed by the U.S. Department of Energy. Every DOE Challenge Home starts with ENERGY STAR for Homes Version 3 for an energy-effi cient home built on a solid foundation of building science research. Then, even more advanced technologies are designed in for a home that goes above and beyond current code to give you the superior quality construction, HVAC, appliances, indoor air quality, safety, durability, comfort, and solar-ready components along with ultra-low or no utility bills. This provides homeowners with a quality home that will last for generations to come.

274

Staff Listings/Contact Information | U.S. DOE Office of Science (SC)  

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

Information Information Chemical Sciences, Geosciences, & Biosciences (CSGB) Division CSGB Home About Staff Listings/Contact Information What's New Research Areas Scientific Highlights Reports & Activities Principal Investigators' Meetings BES Home About Staff Listings/Contact Information Print Text Size: A A A RSS Feeds FeedbackShare Page Name Title Research Area of Responsibility Dr. Eric Rohlfing Division Director Chemical Sciences, Geosciences, and Biosciences Division Ms. Diane Marceau Program Analyst Ms. Michaelena Kyler-King Program Assistant Dr. Michael Casassa Team Lead Fundamental Interactions Ms. Robin Felder Program Assistant Dr. Gregory Fiechtner Program Manager Condensed-Phase and Interfacial Molecular Sciences Dr. Jeffrey Krause Program Manager Atomic, Molecular, and Optical Sciences

275

How well do home energy audits serve the homeowner?  

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

How well do home energy audits serve the homeowner? How well do home energy audits serve the homeowner? Title How well do home energy audits serve the homeowner? Publication Type Conference Proceedings LBNL Report Number LBNL-5712E Year of Publication 2012 Authors Ingle, Aaron, Mithra M. Moezzi, Loren Lutzenhiser, and Richard C. Diamond Conference Name 2012 Summer Study on Energy Efficiency in Buildings Date Published 05/2012 Conference Location Pacific Grove, CA, USA Abstract Home energy audits administered by utilities and government typically provide homeowners with lists of technical upgrade recommendations intended to increase the technical energy efficiency of the house. Audits proceed with assessment of physical characteristics, subsequently processed with a computational model and transformed into a report, sometimes customized by the auditor. While the design of an energy audit reflects program and policy points of view - balancing program cost with expected program savings, educating people about the value of energy efficiency, etc. - it is crucial to consider the criteria for a good home energy audit and recommendations from homeowners' points of view. How well do home energy audits currently meet these criteria? How well do asset-based assessments match what homeowners seem to want? We consider these questions based on a study of 286 homeowners who participated in a Seattle City Light home energy audit program. Findings suggest that there is substantial opportunity to reorient audit programs to better fit the realities of why homeowners undertake energy audits and retrofits. In the Seattle City Light program, participating homeowners found certain elements of the audit they received - interaction with professional auditors, blower door testing, and customized, specific upgrade recommendations - to be more compelling than the standardized and quantitative elements. Rather than being engaged with increasing energy efficiency, as invited by an asset perspective and asset-based efficiency scores, homeowners wanted to build better understanding of their home's energy use and to learn how to solve specific problems, especially reflecting their household's actual energy use practices.

276

National Science Bowl® Competition Buzzer Materials List | U.S. DOE Office  

Office of Science (SC) Website

Materials List Materials List National Science Bowl® (NSB) NSB Home About High School Middle School Middle School Students Middle School Coaches Middle School Regionals Middle School Rules, Forms, and Resources Academic Question Resources Make Your Own National Science Bowl® Competition Buzzer National Science Bowl® Competition Buzzer Materials List National Science Bowl® Competition Buzzer Schematic Sample Questions Attending National Event Volunteers 2013 Competition Results News Media WDTS Home Contact Information National Science Bowl® U.S. Department of Energy SC-27/ Forrestal Building 1000 Independence Ave., SW Washington, DC 20585 P: 202-586-6702 E: National.Science.Bowl@science.doe.gov Make Your Own National Science Bowl® Competition Buzzer National Science Bowl® Competition Buzzer Materials List

277

National Science Bowl® Competition Buzzer Materials List | U.S. DOE Office  

Office of Science (SC) Website

Materials List Materials List National Science Bowl® (NSB) NSB Home About High School High School Students High School Coaches High School Regionals High School Rules, Forms, and Resources Make Your Own National Science Bowl® Competition Buzzer National Science Bowl® Competition Buzzer Materials List National Science Bowl® Competition Buzzer Schematic Sample Questions Middle School Attending National Event Volunteers 2013 Competition Results News Media WDTS Home Contact Information National Science Bowl® U.S. Department of Energy SC-27/ Forrestal Building 1000 Independence Ave., SW Washington, DC 20585 P: 202-586-6702 E: National.Science.Bowl@science.doe.gov Make Your Own National Science Bowl® Competition Buzzer National Science Bowl® Competition Buzzer Materials List Print

278

DOE Zero Energy Ready Home Resources  

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

DOE Zero Energy Ready Home provides resources for successfully building and selling zero-energy ready homes in today's market.

279

DOE Challenge Home, California Program Requirements  

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

DOE Challenge Home, California Program Requirements, as posted on the U.S. Department of Energy's DOE Challenge Home website.

280

Home Energy Saver  

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

Watt about Water? Watt about Water? Water uses energy. Energy uses water. The "water-energy nexus" - as it has come to be known - is one of the emerging hot topics when it comes to making homes greener and more resource-efficient. The Home Energy Saver does not currently provide recommendations for reducing water use, but it does help you understand where your water is currently going (see the Appliances drill-down report from the Compare > Summary page). The material on this page provides some more background and resources for you to keep in mind. Water uses energy The most tangible link is that when your water is heated, every drop contains a hidden "drop" of energy. Saving hot water translates directly into water-heating energy savings. Such savings are available at hot water

Note: This page contains sample records for the topic "lists forecasts home" 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

Home Energy Saver  

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

Lowest-Hanging Fruit Lowest-Hanging Fruit Get the Weekly Energy Saving Tip widget and many other great free widgets at Widgetbox! Not seeing a widget? (More info) The analysis you've done in the Home Energy Saver is a great beginning, but not the end of your quest. You now know where you stand and how much you can improve. Time to get started. In the following links you will find dozens of no-cost tips for things you can do to start saving energy immediately, many of which can be done without even opening your wallet! Air Leaks Home office electronics Lighting Heating & cooling Water heating Windows Making it Happen Roadmap to Results Seasons of Life The Lowest-Hanging Fruit Investing for Profit and Comfort Creating Successful Projects Financial Incentives Watt About Water? Choosing a Good Contractor

282

Home Energy Saver  

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

Work-Arounds Work-Arounds While the Home Energy Saver is the most comprehensive home energy model available on the web, there are inevitably specific systems or features that we have not yet explicitly incorporated. In some cases, there are reasonable work-arounds that the user can use to approximate the energy use of such features or systems. For example: Evaporative Cooling: HES Does not model Evaporative coolers. However, you can specify an appropriately high SEER (e.g. 22) in the air conditioning description to approximate the relatively low energy use of evaporative coolers. Note that this method will not yield any information about the water consumption by evaporative coolers, which also has a cost and other implications. Extended Vacations: HES does not explicitly allow you to specify

283

List of utility company aliases | OpenEI Community  

Open Energy Info (EERE)

List of utility company aliases List of utility company aliases Home > Groups > Utility Rate The various ways of looking up utility companies/rates are great, but what about utility company aliases? The OpenEI "Browse rates by utility name" includes aliases-is there some way to access this list? Edit: Thanks Ryan, this looks like it's going to be a great system. In case others are wondering, the query that Ryan wrote for "Category:Utility_Company_Aliases" was supposed to be "OpenBracket OpenBracket Category:Utility_Company_Aliases CloseBracket CloseBracket"--the brackets converted it into a link. See example here: http://semantic-mediawiki.org/wiki/Help:Selecting_pages Strangely, my query for "Category:Utility_Company_Aliases" returns no results, maybe because they are all redirect pages?

284

List of utility company aliases | OpenEI Community  

Open Energy Info (EERE)

List of utility company aliases List of utility company aliases Home > Groups > Utility Rate The various ways of looking up utility companies/rates are great, but what about utility company aliases? The OpenEI "Browse rates by utility name" includes aliases-is there some way to access this list? Edit: Thanks Ryan, this looks like it's going to be a great system. In case others are wondering, the query that Ryan wrote for "Category:Utility_Company_Aliases" was supposed to be "OpenBracket OpenBracket Category:Utility_Company_Aliases CloseBracket CloseBracket"--the brackets converted it into a link. See example here: http://semantic-mediawiki.org/wiki/Help:Selecting_pages Strangely, my query for "Category:Utility_Company_Aliases" returns no results, maybe because they are all redirect pages?

285

List of utility company aliases | OpenEI Community  

Open Energy Info (EERE)

List of utility company aliases List of utility company aliases Home > Groups > Utility Rate The various ways of looking up utility companies/rates are great, but what about utility company aliases? The OpenEI "Browse rates by utility name" includes aliases-is there some way to access this list? Edit: Thanks Ryan, this looks like it's going to be a great system. In case others are wondering, the query that Ryan wrote for "Category:Utility_Company_Aliases" was supposed to be "OpenBracket OpenBracket Category:Utility_Company_Aliases CloseBracket CloseBracket"--the brackets converted it into a link. See example here: http://semantic-mediawiki.org/wiki/Help:Selecting_pages Strangely, my query for "Category:Utility_Company_Aliases" returns no results, maybe because they are all redirect pages?

286

List of utility company aliases | OpenEI Community  

Open Energy Info (EERE)

List of utility company aliases List of utility company aliases Home > Groups > Utility Rate The various ways of looking up utility companies/rates are great, but what about utility company aliases? The OpenEI "Browse rates by utility name" includes aliases-is there some way to access this list? Edit: Thanks Ryan, this looks like it's going to be a great system. In case others are wondering, the query that Ryan wrote for "Category:Utility_Company_Aliases" was supposed to be "OpenBracket OpenBracket Category:Utility_Company_Aliases CloseBracket CloseBracket"--the brackets converted it into a link. See example here: http://semantic-mediawiki.org/wiki/Help:Selecting_pages Strangely, my query for "Category:Utility_Company_Aliases" returns no results, maybe because they are all redirect pages?

287

Home Maintenance Manual.  

E-Print Network (OSTI)

. College Station , Texas l Introduction A regular program of maintenance inspections can help homeowners identify and correct problems before they become serious. Unfortunately, a maintenance problem ignored becomes a major repair. Preventive... maintenance can extend the life of materials and equipment and will be less expensive in the long run than replacement. Maintaining a home need not be difficult, but it requires a regular program of inspection to identify and correct problems before...

Anonymous,

1985-01-01T23:59:59.000Z

288

Lock-free linked lists and skip lists  

Science Journals Connector (OSTI)

Lock-free shared data structures implement distributed objects without the use of mutual exclusion, thus providing robustness and reliability. We present a new lock-free implementation of singly-linked lists. We prove that the worst-case amortized cost ... Keywords: amortized analysis, analysis, distributed, efficient, fault-tolerant, linked list, lock-free, skip list

Mikhail Fomitchev; Eric Ruppert

2004-07-01T23:59:59.000Z

289

Challenge Home Events | Department of Energy  

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

Challenge Home Events Challenge Home Events Challenge Home Events Sorted By Date Sort By Location Sort By Event Description Contact TBA West Chester, Pennsylvania DOE Challenge Home Zero Net-Energy-Ready Home Training DOE Challenge Home is conducting this Zero Net-Energy-Ready Home training with our Training Partner, the Home Ventilating Institute. Coming soon! January 16, 2014 Latham, New York DOE Challenge Home Zero Net-Energy-Ready Home Training DOE Challenge Home is conducting this Zero Net-Energy-Ready Home training with our Training Partner, the New York State Builders Association (NYSBA). Register by emailing Juli Turner at jturner@nysba.com March 24, 2014 Lexington, Kentucky DOE Challenge Home Zero Net-Energy-Ready Home Training This 3.5-hour training provides builders with a comprehensive review of zero net-energy-ready home construction including the business case, detailed specifications, and opportunities to be recognized as an industry leader.

290

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

291

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

SciTech Connect

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

292

I/O Library List  

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

IO Library List IO Library List Package Platform Version Module Install Date Date Made Default ADIOS plain edison 1.4.1 adiosplain1.4.1 2013-01-22 2013-01-22 ADIOS plain hopper...

293

Energy conservation and passive-solar retrofit workbook. [Consumer guide to home energy conservation  

SciTech Connect

The slow turnover of housing stock means that passive-solar and conservation equipment must be retrofitted into existing structures. This workbook was written to show homeowners how they can save money and use available technology to make their homes more efficient. Examples are drawn from actual projects in South Dakota homes. The first step is an evaluation of the situation in terms of climate, site, and findings from a home audit. Information on conservation principles, calculations, and construction techniques is followed by a marketing and financial guide. The workbook includes numerous line sketches, checklists, a glossary of conservation terms, and a list of information sources. 5 references, 7 figures, 17 tables. (DCK)

Not Available

1981-01-01T23:59:59.000Z

294

About Fermilab | Fermilab and the Community | Home  

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

photos photos Science in the Neighborhood - Fermilab and the Community Fermilab values strong relationships based on direct and open communication with the people who live in neighboring communities. Fermilab's future as a world leader in science research depends on the trust and participation of our neighbors here at home. Submit a question ILC Citizens' Task Force ILC Citizens' Task Force The ILC Citizens' Task Force will provide guidance and advice to Fermilab to ensure that community concerns and ideas are included in all public aspects of ILC planning and design. ILC Citizens' Task Force - Web site ILC Citizens' Task Force - List of Members Fermilab Community Advisory Board Fermilab Community Task Force Fermilab seeks nominations for new Community Advisory Board to assist in future plan.

295

Laboratory Equipment Donation Program - Home Page  

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

U.S. Department of Energy U.S. Department of Energy Laboratory Equipment Donation Program Home About LEDP FAQ Application Site Index Contact Us Administrative Login SEARCH: Go! view equipment list LEDP News Latest Equipment Added as of January 08, 2014: 1. DATA HANDLING SYSTEM 89514133530195 2. METER, VOLT 89514133530179 3. RECORDER, STRIP 89514133530184 4. RECORDER, STRIP 89514133530185 5. SCINTILLATOR STRIPS, 1.9 CM X 1.5 CM X 96 CM 89514133530188 Quick Links What type of equipment is available? Who is eligible to apply? How long will it take to find out if my application has been approved? Who is responsible for arranging and paying for shipping? RSS Get Widgets Bookmark and Share Get the tools you need to inspire innovation and creativity The United States Department of Energy (DOE), in accordance with its

296

DOE Radiation Records Contacts List  

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

DOE radiation records contact list for individuals to obtain records of occupational exposure directly from a DOE site.

297

Contact List, Human Resources  

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

Human Resources & Occupational Medicine Division Human Resources & Occupational Medicine Division Contact List Human Resources Guest, User, Visitor (GUV) Center Occupational Medicine Training and Qualifications Office Note: All listed phone extensions are in the format of (631) 344-xxxx. Human Resources Robert Lincoln, Chief Human Resources Officer x7435 rlincoln@bnl.gov Margaret Hughes x2108 hughes@bnl.gov Elizabeth Gilbert x2315 gilbert@bnl.gov Human Resources Generalists Christel Colon, HR Manager - BES, GARS & ELS x8469 ccolon@bnl.gov Joann Williams, HR Manager - Support Operations x8356 williamsj@bnl.gov Joanna Hall, HR Manager - Photon Sciences x4410 jhall@bnl.gov Donna Dowling, HR Manager - Nuclear & Particle Physics x2754 dowling@bnl.gov Terrence Buck x8715 tbuck@bnl.gov

298

Final Participant List  

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

Participant List Participant List Chris Aardahl PNNL Andy Abele Quantum Technologies, Inc. Salvador Aceves Lawrence Livermore Natl. Lab Arlene Anderson US DOE HFCIT Anthony Androsky US Fuel Cell Council S. O. Bade Shrestha Western Michigan University Renee Bagwell Praxair, Inc. Jeff Bentley Fideris Inc. Gene Berry Engineer LLNL Stanley Bull NREL Joseph Carpenter U.S. DOE David Caulk General Motors R&D Center Gerald Ceasar DOC NIST ATP William Charron Ford Motor Company Max J. Clausen Pacific Northwest National Laboratory Kevin Collins CP Industries Vince Contini Battelle Memorial Institute James Dayton UTC Fuel Cells Daniel Dedrick Sandia National Labs Peter Devlin U.S. DOE M. Alkan Donmez NIST David Dornfeld University of California

299

Firearms Modification List  

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

FIREARMS MODIFICATION LIST FIREARMS MODIFICATION LIST U.S. DEPARTMENT OF ENERGY Office of Health, Safety and Security AVAILABLE ONLINE AT: INITIATED BY: http://www.hss.energy.gov Office of Health, Safety and Security Notices This document is intended for the exclusive use of elements of the Department of Energy (DOE), to include the National Nuclear Security Administration, their contractors, and other government agencies/individuals authorized to use DOE facilities. DOE disclaims any and all liability for personal injury or property damage due to use of this document in any context by any organization, group, or individual, other than during official government activities. Local DOE management is responsible for the proper execution of firearms-related programs for

300

DOE Challenge Home Case Study, e2Homes, Winterpark, FL, Custom Homes  

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

fi fi rst certifi ed DOE Challenge Home in the United States-the Wilson Residence in Winter Park, Florida-produces more energy than it uses with construction costs one-third less than originally proposed. Completed in May 2012, this 4,305-ft 2 custom home (with four bedrooms and baths) screams "BIG" until you hear the "small footprint" in the energy- and water-effi ciency details. Without solar power, the home scores a HERS 57, which is well below the HERS 100 for a standard home built to code. With its photovoltaic system, the home produces better than zero net-energy performance, with a score of HERS -7. This translates into no electric utility bills and even $123 annually in the homeowner's pocket from the utility. When the homeowner, Mr. Wilson, hired e2 Homes to build his dream home, he

Note: This page contains sample records for the topic "lists forecasts home" 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

DOE Challenge Home Case Study, KB Home, San Marcos, CA, Production Home  

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

KB KB Home San Marcos, CA BUILDING TECHNOLOGIES OFFICE DOE Challenge Home builders are in the top 1% of builders in the country meeting the extraordinary levels of excellence and quality specifi ed by the U.S. Department of Energy. Every DOE Challenge Home starts with ENERGY STAR for Homes Version 3 for an energy-effi cient home built on a solid foundation of building science research. Then, even more advanced technologies are designed in for a home that goes above and beyond current code to give you the superior quality construction, HVAC, appliances, indoor air quality, safety, durability, comfort, and solar-ready components along with ultra-low or no utility bills. This provides homeowners with a quality home that will last for generations to come.

302

DOE Challenge Home Case Study, Garbett Homes, Herriman, UT, Production Home  

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

Garbett Garbett Homes Herriman, UT BUILDING TECHNOLOGIES OFFICE DOE Challenge Home builders are in the top 1% of builders in the country meeting the extraordinary levels of excellence and quality specifi ed by the U.S. Department of Energy. Every DOE Challenge Home starts with ENERGY STAR for Homes Version 3 for an energy-effi cient home built on a solid foundation of building science research. Then, even more advanced technologies are designed in for a home that goes above and beyond current code to give you the superior quality construction, HVAC, appliances, indoor air quality, safety, durability, comfort, and solar-ready components along with ultra-low or no utility bills. This provides homeowners with a quality home that will last for generations to come.

303

DOE Challenge Home Case Study, Clifton View Homes, Coupeville, WA, Systems Home  

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

Clifton View Clifton View Homes Coupeville, WA BUILDING TECHNOLOGIES OFFICE DOE Challenge Home builders are in the top 1% of builders in the country meeting the extraordinary levels of excellence and quality specifi ed by the U.S. Department of Energy. Every DOE Challenge Home starts with ENERGY STAR for Homes Version 3 for an energy-effi cient home built on a solid foundation of building science research. Then, even more advanced technologies are designed in for a home that goes above and beyond current code to give you the superior quality construction, HVAC, appliances, indoor air quality, safety, durability, comfort, and solar-ready components along with ultra-low or no utility bills. This provides homeowners with a quality home that will last for generations to come.

304

Home Energy Saver  

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

Investing for Profit and Comfort Investing for Profit and Comfort After working on no-cost changes, it's time to focus on how and when to get deeper improvements in efficiency. When buying or replacing an appliance or other energy-using equipment, you have a great opportunity to save. Early replacement can even make sense in some cases, but requires careful analysis. The Federal Trade Commission labels all major appliances, which can help you shop more wisely. To help consumers shop smarter still, the ENERGY STAR program labels identify products that are in roughly the top 25% of efficiency in their class - get the lists. The Consortium for Energy Efficiency defines an even higher bar - get the lists. DOE provides handy tips for things labels and features to look for. If you are going beyond harvesting the lowest-hanging fruit and replacing

305

The STAPL pList  

E-Print Network (OSTI)

the number of base containers. Thus, a key feature of the pList is that it offers the advantages of a classical list while enabling scalable parallelism. We evaluate the performance of the stapl pList on an IBM Power 5 cluster and on a CRAY XT4 massively...

Xu, Xiabing

2011-02-22T23:59:59.000Z

306

Analysis of water heater standby energy consumption from ELCAP homes  

Science Journals Connector (OSTI)

The Bonneville Power Administration (Bonneville) routinely prepares forecasts of future energy demands in the Pacific Northwest region of the United States. Bonneville also implements conservation programs to reduce load demands. Results from the End-Use Load and Consumer Assessment Program (ELCAP), undertaken by the Pacific Northwest Laboratory for Bonneville, indicated that single-family homes with electric space-heating equipment consume more than 4700 kWh/yr to heat water for domestic uses. This energy use amounts to about 23% of the total electricity consumed. Additionally, the peak consumption for water heating coincides with regional system peak demands. Detailed analyses of the water heating end-use data acquired for residential buildings in ELCAP reveal that the average standby load for existing homes is 1200 kWh/yr, while homes built as part of the Residential Standards Demonstration Program averaged 1100 kWh/yr. These figures are consistent with the current figure of 1300 kWh/yr that is being used in the regional energy forecast. We also determined that standby loads for some of the participants were behaviorally driven. The data indicated the occurrence of vacancy setbacks in which the participant appears to lower the thermostat to save energy while the house is vacant. Anecdotal evidence from interviews revealed that this does occur. Reasons for setting back the thermostat ranged from not thinking about using the breaker, to fear that the tank would freeze in cold weather. These types of activities also appear to create the occurrence of dueling thermostats where the upper and lower thermostats, after the vacancy period, are not returned to the same temperature. This leads to additional energy use in an attempt to maintain a uniform temperature in the tank.

R.G. Pratt; B.A. Ross; W.F. Sandusky

1993-01-01T23:59:59.000Z

307

Building America Whole-House Solutions for New Homes: Meeting DOE Challenge Homes Program Certification  

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

Three production home builders—K. Hovnanian Homes, David Weekley Homes, and Transformations, Inc.—partnered with Building America team Building Science Corporation to evaluate the certification of five test homes to the new DOE Challenge Home program performance standard (now DOE Zero Energy Ready Home program). The builders identified key benefits and barriers that impacted the certification of the test homes, and the likelihood of whether DOE Challenge Home certification would be pursued in future homes.

308

Home Automation : Smart home technology and template house design.  

E-Print Network (OSTI)

??In this thesis, home automation’s general knowledge, technology information and each component will be introduced to the reader in the first half of the whole… (more)

Zheng, Zeya

2013-01-01T23:59:59.000Z

309

Home Energy Audits | Department of Energy  

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

Energy Efficiency » Homes » Home Weatherization » Home Energy Energy Efficiency » Homes » Home Weatherization » Home Energy Audits Home Energy Audits November 26, 2013 Professional Home Energy Audits A home energy audit is the first step to assessing how much energy your home consumes and to deciding what measures you can take to make your home more energy efficient. October 28, 2013 William Stewart, with Veterans Green Jobs, blows cellulose insulation in the interior walls of a Lakewood, Colorado, home. This home is part of the Energy Department's Weatherization Assistance Program that supports energy efficiency upgrades to low-income homes in Denver. | Photo courtesy of Dennis Schroeder, NREL. Weatherization Saves Families Energy and Money In honor of National Weatherization Day, we're highlighting how energy

310

Home Energy Score | Department of Energy  

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

Residential Buildings » Home Energy Score Residential Buildings » Home Energy Score Home Energy Score The Home Energy Score is similar to a vehicle's mile-per-gallon rating. The Home Energy Score allows homeowners to compare the energy performance of their homes to other homes nationwide. It also provides homeowners with suggestions for improving their homes' efficiency. The process starts with a Home Energy Score Qualified Assessor collecting energy information during a brief home walk-through. Using the Home Energy Scoring Tool, developed by the Lawrence Berkeley National Laboratory, the Qualified Assessor then scores the home on a scale of 1 to 10. A score of 10 indicates that the home has excellent energy performance. A score of 1 indicates the home needs extensive energy improvements. In addition to

311

Home Fruit Production - Figs.  

E-Print Network (OSTI)

TDOC Z TA245.7 B873 NO.1591 B-1591 Texas Agricultural Extension Service HOM? FRUIT PRODUCTION FIGS LIBRARY SEP 2 7 1988 ( A&M Univer it Texas Agricultural Extension Service. Zerle L. Carpenter, Director. The Texas A&M University System.... College Station, Texas / (Blank Pa.ge -ill Original BBDetial . r .. ; :.' l , ::; .: .? HOME FRUIT PRODUCTION - FIGS Calvin G. Lyons and George Ray McEachern* Figs have been a part of Texas homesteads since the early development of the state...

Lyons, Calvin G.; McEachern, George Ray

1987-01-01T23:59:59.000Z

312

DOE Solar Decathlon: Home Entertainment  

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

Home Entertainment Home Entertainment (100 points) The Home Entertainment Contest in the U.S. Department of Energy Solar Decathlon gauges whether a house has what it takes to be a home. How well does it accommodate the pleasures of living, such as sharing meals with friends and family, watching movies in a home theater, and checking social media? How well does it accommodate a small home office for a telecommuter? The contest includes: Holding two dinner parties for neighbors, who award the host team points based on the quality of the meal, ambiance, and overall experience Keeping all interior and exterior house lights on during specified periods of time Operating a television and computer during specified time periods Hosting a movie night for neighbors, who rate their hosts based on

313

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

314

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

315

New American Home 2009 (Brochure)  

SciTech Connect

This brochure details the New American Home 2009, which demonstrates the use of innovative building materials, cutting-edge design, and the latest construction techniques.

Not Available

2008-12-01T23:59:59.000Z

316

Solar Textiles For the Home.  

E-Print Network (OSTI)

??Solar Textiles came out of the idea that everyone has windows in their homes which need to be shaded. The question was simple, why are… (more)

Cosman, Brienne E

2011-01-01T23:59:59.000Z

317

DOE Challenge Home Student Competition  

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

This document outlines plans for the DOE Challenge Homes Student Competition, which will complement the Solar Decathlon, and launch in 2014.

318

Exploring California PV Home Premiums  

E-Print Network (OSTI)

2013) Residential Photovoltaic Energy Systems in California:of the Effects of Photovoltaic Energy Systems on ResidentialEffects of Residential Photovoltaic Energy Systems on Home

Hoen, Ben

2014-01-01T23:59:59.000Z

319

Home Energy Affordability Loan (HEAL)  

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

Presents information about the Home Energy Affordability Loan (HEAL), as well as its two different models and non-traditional financing source.

320

FORGE Home | Department of Energy  

Energy Savers (EERE)

FORGE Home The Energy Department envisions Frontier Observatory for Research in Geothermal Energy (FORGE) as a dedicated site where scientists and engineers will be able to...

Note: This page contains sample records for the topic "lists forecasts home" 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

Department of Energy Home Page  

Office of Scientific and Technical Information (OSTI)

US DEPARTMENT OF ENERGY Search Home Page Contents ABOUT DOE About The Department of Energy (Learn about the Department of Energy, its mission, plans, organizational structure,...

322

12-32021E2_Forecast  

NLE Websites -- All DOE Office Websites (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:

323

Building Energy Software Tools Directory: Degree Day Forecasts  

NLE Websites -- All DOE Office Websites (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

324

Building Energy Software Tools Directory: Energy Usage Forecasts  

NLE Websites -- All DOE Office Websites (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.

325

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

326

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

327

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

328

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

329

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

330

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

331

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...

332

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

333

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

334

Census Division List  

Gasoline and Diesel Fuel Update (EIA)

Supplement Tables to the Annual Energy Outlook 2003 Supplement Tables to the Annual Energy Outlook 2003 Census Division List Division 1 Division 2 Division 3 Division 4 Division 5 New England Middle Atlantic East North Central West North Central South Atlantic Connecticut New Jersey Illinois Iowa Delaware Maine New York Indiana Kansas District of Columbia Massachusetts Pennsylvania Michigan Minnesota Florida New Hampshire Ohio Missouri Georgia Rhode Island Wisconsin Nebraska Maryland Vermont North Dakota North Carolina South Dakota South Carolina Virginia West Virginia Division 6 Division 7 Division 8 Division 9 East South Central West South Central Mountain Pacific Alabama Arkansas Arizona Alaska Kentucky Louisiana Colorado California Mississippi Oklahoma Idaho Hawaii

335

Census Division List  

Gasoline and Diesel Fuel Update (EIA)

5 5 Census Division List Division 1 Division 2 Division 3 Division 4 Division 5 New England Middle Atlantic East North Central West North Central South Atlantic Connecticut New Jersey Illinois Iowa Delaware Maine New York Indiana Kansas District of Columbia Massachusetts Pennsylvania Michigan Minnesota Florida New Hampshire Ohio Missouri Georgia Rhode Island Wisconsin Nebraska Maryland Vermont North Dakota North Carolina South Dakota South Carolina Virginia West Virginia Division 6 Division 7 Division 8 Division 9 East South Central West South Central Mountain Pacific Alabama Arkansas Arizona Alaska Kentucky Louisiana Colorado California Mississippi Oklahoma Idaho Hawaii Tennessee Texas Montana Oregon

336

DOE Site List  

Office of Environmental Management (EM)

Links Links Central Internet Database CID Photo Banner DOE Site List Site Geo Site Code State Operations Office1 DOE Programs Generating Streams at Site DOE Programs Managing Facilities Associated Data2 Acid/Pueblo Canyons ACPC NM Oak Ridge Waste/Media, Facilities Airport Substation CA Western Area Power Administration Facilities Akron Hill Communication Site CO Western Area Power Administration Facilities Akron Substation CO Western Area Power Administration Facilities AL Complex NM Albuquerque DP Facilities Alba Craft ALCL OH Oak Ridge Facilities Albany Research Center AMRC OR Oak Ridge Facilities Alcova Switchyard WY Western Area Power Administration Facilities Aliquippa Forge ALFO PA Oak Ridge Facilities

337

ISEE Smart Home (ISH): Smart video analysis for home security  

Science Journals Connector (OSTI)

Abstract This paper presents a system of smart home for home security. Many previous papers on smart home try to address this issue, but most of the published systems rely on various sensors. With the development of video technology, video based smart home becomes more attractive, but there are few literatures discussing a complete system including system architecture, feature extraction, event modeling, decision making and final information retrieval. Motivated by this challenge, we propose a novel systematical video analysis architecture, providing rich source of information about the home environment. The proposed ISEE Smart Home (ISH) is capable of analyzing various abnormal behaviors, providing realtime alarm generation, flexible video retrieval and video synopsis. The contributions can be summarized as follows: (1) we propose and build a complete smart home system based on the intelligent video analysis for home security. (2) We propose a novel foreground segmentation method based on the history pattern, which is very suitable for indoor scene analysis. (3) An exact cutting based Region of Interest (ROI) generation and scene structure modeling method is proposed for fast human detection. (4) A concurrence relation graph of visual words is developed for reliable behavior analysis. The experimental results indicate that the ISH can provide the reliable assistance for better life.

Junge Zhang; Yanhu Shan; Kaiqi Huang

2015-01-01T23:59:59.000Z

338

Home financing for new and existing energy efficient homes  

SciTech Connect

The video describes how the home federal savings and loan association in Rockford, IL, has developed lending standards for new conventional and solar homes. The nine standards are illustrated. The video follows the customer through the loan process, including an appraisal of energy efficient items, loan closing, and continuing education. The primary audience is savings and loan management personnel.

NONE

1994-12-31T23:59:59.000Z

339

Global Home File System at NERSC  

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

Home Home Global Home Filesystem Overview Global home directories (or "global homes") provide a convenient means for a user to have access to source files, input files, configuration files, etc., regardless of the platform the user is logged in to. Wherever possible, you should refer to your home directory using the environment variable $HOME. The absolute path to your home directory (e.g., /u4/elvis/) may change, but the value of $HOME will always be correct. For security reasons, you should never allow "world write" access to your $HOME directory or your $HOME/.ssh directory. NERSC scans for such security weakness, and, if detected, will change the permissions on your directories. Platforms Utilizing Global Home The Global Home file system is available on all NERSC systems except PDSF.

340

Wind power forecasting in U.S. electricity markets.  

SciTech Connect

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

Note: This page contains sample records for the topic "lists forecasts home" 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

Wind power forecasting in U.S. Electricity markets  

SciTech Connect

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

342

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

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

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

343

DOE Zero Energy Ready Home Case Study, Clifton View Homes, Coupeville, WA, Systems Home  

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

Case-study of a DOE Zero Energy Ready Home on Whidbey Island, WA, that scored HERS 45 without PV. This 2,908 ft2 custom/system home has a SIP roof and walls, R-20 rigid foam under slab, triple-pane windows, ground source heat pump for radiant floor heat, and a unique balanced ventilation system using separate exhaust fans to bring air into and out of home.

344

DOE Zero Energy Ready Home Case Study: Palo Duro Homes, Albuquerque...  

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

Study: Palo Duro Homes, Albuquerque, NM DOE Zero Energy Ready Home Case Study: Palo Duro Homes, Albuquerque, NM Case study of a New Mexico-based home builder who has built more DOE...

345

Building America Whole-House Solutions for New Homes: Nexus EnergyHome...  

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

Building America Whole-House Solutions for New Homes: Nexus EnergyHomes - Frederick, Maryland Building America Whole-House Solutions for New Homes: Nexus EnergyHomes - Frederick,...

346

DOE Zero Energy Ready Home Case Study: Clifton View Homes, Whidbey...  

Energy Savers (EERE)

Study: Clifton View Homes, Whidbey Island, WA DOE Zero Energy Ready Home Case Study: Clifton View Homes, Whidbey Island, WA Case study of a DOE Zero Energy Ready home on Whidbey...

347

DOE Zero Energy Ready Home Case Study: M Street Homes, Houston...  

Energy Savers (EERE)

Study: M Street Homes, Houston, TX DOE Zero Energy Ready Home Case Study: M Street Homes, Houston, TX Case study of a DOE Zero Energy Ready home in Houston, TX, that achieves a...

348

DOE Zero Energy Ready Home Case Study: Southern Homes, Russellville, AL  

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

Case study of the first manufactured home built to the DOE Zero Energy Ready Home standard. This manufactured home achieved a HERS score of 57 without PV. The home has been set up for side-by-side...

349

DOE Zero Energy Ready Home Case Study: Southern Energy Homes, Russellville, AL  

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

Case study of the first manufactured home built to the DOE Zero Energy Ready Home standard. This manufactured home achieved a HERS score of 57 without PV. The home has been set up for side-by-side...

350

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

351

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

352

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

353

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

354

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

355

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

356

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

357

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.

358

Building America Efficient Solutions for New Homes Case Study...  

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

Tommy Williams Homes Initial Performance of Two Zero Energy Homes, Gainesville, Florida Building America Efficient Solutions for New Homes Case Study: Tommy Williams Homes Initial...

359

DOE Zero Energy Ready Home Case Study: John Hubert Associates...  

Energy Savers (EERE)

Homes, Double Oak, TX DOE Zero Energy Ready Home Case Study: Cobblestone Homes, Midland, MI DOE Zero Energy Ready Home Case Study, Preferred Builders, Old Greenwich, CT, Custom...

360

A System for Controlling, Monitoring and Programming the Home.  

E-Print Network (OSTI)

??As technology becomes ever more pervasive, the challenges of home automation are increasingly apparent. Seamless home control, home monitoring and home programming by the end… (more)

Maternaghan, Claire

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "lists forecasts home" 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

Building America Whole-House Solutions for New Homes: Quadrant...  

Energy Savers (EERE)

Quadrant Homes, Kent, Washington Building America Whole-House Solutions for New Homes: Quadrant Homes, Kent, Washington Case study of Quadrant Homes, who worked with Building...

362

Building America Whole-House Solutions for New Homes: Tindall...  

Energy Savers (EERE)

Tindall Homes, Columbus, New Jersey Building America Whole-House Solutions for New Homes: Tindall Homes, Columbus, New Jersey Case study of Tindall Homes who worked with Building...

363

Building America Whole-House Solutions for New Homes: Schneider...  

Energy Savers (EERE)

Schneider Homes, Burien, Washington Building America Whole-House Solutions for New Homes: Schneider Homes, Burien, Washington Case study of Schneider Homes who worked with Building...

364

Wind and Load Forecast Error Model for Multiple Geographically Distributed Forecasts  

SciTech Connect

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

365

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

366

Home : ENERGY STAR  

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

Who dared imagine? Who dared imagine? Our newest video celebrates 20 years of success with our innovative ENERGY STAR partners. See the Video EPA Logo ENERGY STAR is a U.S. Environmental Protection Agency voluntary program that helps businesses and individuals save money and protect our climate through superior energy efficiency. Learn more about ENERGY STAR. A comprehensive review of ENERGY STAR and other EPA climate protection partnerships. See 2011 Annual Report. Basic information on climate change, greenhouse gas emissions, and climate change science. See Climate Change. With help from ENERGY STAR, by 2012, Americans had cumulatively prevented more than 1.8 billion metric tons of GHG emissions. See 2012 Achievements. Energy Efficiency For Your Home

367

SRS CAB - Home  

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

Search Google Logo Search Google Logo SRS CAB Logo Menu SRS CAB Home About Us Board Board Members Membership Application Committees Speakers Bureau Meetings Meeting Schedules Meeting Recordings Presentations & Summaries Recommendations Board Materials Mission EM SSAB Charter Operating Procedures Work Plans Official Correspondence Reports & Documents Workshops CAB Position Statements Outreach 2014 Public Tours Article on SRS CAB- Bella Magazine Resources Links Site Map Newsletter SRS CAB Newsletters Contact Us Contact Information Next Committee Meeting Upcoming Committee Meetings The 2014 CAB committee meeting schedule will be made available in February 2014 DOE Meeting Center 230 Village Green Blvd., Suite 220 Aiken, SC 29801 Map and Directions Next CAB Meeting January 27-28, 2014 Full Board Hilton Garden Inn

368

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

369

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

370

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

371

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

372

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.

373

Customized forecasting tool improves reserves estimation  

SciTech Connect

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

374

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

375

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

376

Online short-term solar power forecasting  

SciTech Connect

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

377

NREL: Learning - Photovoltaics for Homes  

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

Homes Homes Photo of solar panels on the roof of a traditional looking home in Colorado. Photovoltaic solar panels installed on the roof of a home in Boulder, Colorado. The following resources will help you install a photovoltaic (PV) system on your home. If you are unfamiliar with PV systems, see the introduction to PV. Resources American Solar Energy Society Provides consumers with information about solar energy and resources. Database of State Incentives for Renewables and Efficiency Provides information on state, local, utility, and selected federal incentives that promote renewable energy. Florida Solar Energy Center Provides basic information on photovoltaics for consumers. Own Your Power! A Consumer Guide to Solar Electricity The U.S. Department of Energy (DOE) answers consumer questions about PV and

378

Northeast Home Heating Oil Reserve  

Gasoline and Diesel Fuel Update (EIA)

Northeast Home Heating Oil Reserve Northeast Home Heating Oil Reserve Information on the Northeast Home Heating Oil Reserve is available from the U.S. Department of Energy (DOE) Office of Petroleum Reserves web site at http://www.fossil.energy.gov/programs/reserves/heatingoil/. Northeast Home Heating Oil Reserve (NEHHOR) inventories now classified as ultra-low sulfur distillate (15 parts per million) are not considered to be in the commercial sector and therefore are excluded from distillate fuel oil supply and disposition statistics in Energy Information Administration publications, such as the Weekly Petroleum Status Report, Petroleum Supply Monthly, and This Week In Petroleum. Northeast Home Heating Oil Reserve Terminal Operator Location (Thousand Barrels) Hess Corp. Groton, CT 500*

379

Staff Listings/Contact Information | U.S. DOE Office of Science (SC)  

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

About » Staff About » Staff Listings/Contact Information Scientific User Facilities (SUF) Division SUF Home About Staff Listings/Contact Information What's New User Facilities Accelerator & Detector Research & Development Principal Investigators' Meetings Scientific Highlights Construction Projects BES Home About Staff Listings/Contact Information Print Text Size: A A A RSS Feeds FeedbackShare Page Name Title Research Area of Responsibility Dr. James Murphy Division Director Scientific User Facilities Ms. Linda Cerrone Support Specialist Ms. Rocio Meneses Program Assistant Operations Dr. Peter Lee Program Manager X-ray and Neutron Scattering Facilities Dr. James Rhyne Program Manager X-ray and Neutron Scattering Facilities Dr. George Maracas Program Manager NSRCs and EBMCs

380

Diagnostic accuracy of Parkinson's disease and atypical parkinsonism in nursing homes  

Science Journals Connector (OSTI)

AbstractIntroduction Management of Parkinson's disease (PD) and atypical parkinsonism in nursing homes depends on a timely and accurate diagnosis. However, little is known about the diagnostic accuracy of these parkinsonian syndromes in nursing homes. We examined this issue in a large group of Dutch nursing home residents. Methods Twelve large nursing home organizations in the Netherlands accounting for 100 nursing homes with a total population of 5480 residents participated. Residents with PD or atypical parkinsonism were identified according to their nursing home medical chart diagnosis. Additionally, local pharmacists provided a list of all residents using antiparkinson medication. We compared the admission diagnosis to a clinical diagnosis made in the study, based upon interview and detailed neurological examination by movement disorders experts. Diagnoses were based on accepted clinical criteria for PD and atypical parkinsonism. Results In the total population of 5480 residents, 258 had previously been diagnosed with a form of parkinsonism according to their medical record. In 53 of these residents (20.5%) we changed or rejected the diagnosis. Specifically, we found no parkinsonism in 22 of these 53 residents (8.5% of all patients with suspected parkinsonism). In the remaining 31 residents (12%), we established a new diagnosis within the parkinsonian spectrum. Conclusions In a large population of Dutch nursing home residents, 20% of diagnoses within the parkinsonian spectrum were inaccurate. Almost 9% of residents had inadvertently received a diagnosis of parkinsonism. Better recognition of parkinsonism in nursing homes is important, because of the consequences for management and prognosis.

N.J. Weerkamp; G. Tissingh; P.J.E. Poels; S.U. Zuidema; M. Munneke; R.T.C.M. Koopmans; B.R. Bloem

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "lists forecasts home" 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

Operational forecasting based on a modified Weather Research and Forecasting model  

SciTech Connect

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

382

Building Technologies Office: Home Energy Score  

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

Home Energy Score to Home Energy Score to someone by E-mail Share Building Technologies Office: Home Energy Score on Facebook Tweet about Building Technologies Office: Home Energy Score on Twitter Bookmark Building Technologies Office: Home Energy Score on Google Bookmark Building Technologies Office: Home Energy Score on Delicious Rank Building Technologies Office: Home Energy Score on Digg Find More places to share Building Technologies Office: Home Energy Score on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Home Energy Score Get Involved Partners Research & Background FAQs Home Performance with ENERGY STAR Better Buildings Neighborhood Program Challenge Home Guidelines for Home Energy Professionals Technology Research, Standards, & Codes

383

HearthStone Homes | Open Energy Information  

Open Energy Info (EERE)

HearthStone Homes Jump to: navigation, search Name: HearthStone Homes Place: Omaha, NE Website: http:www.hearthstonehomes.co References: HearthStone Homes 1 Information About...

384

One Sky Homes | Open Energy Information  

Open Energy Info (EERE)

Homes Jump to: navigation, search Name: One Sky Homes Place: Los Gatos, CA Website: http:www.oneskyhomes.com References: One Sky Homes1 Information About Partnership with NREL...

385

Infections and antibiotic resistance in nursing homes.  

Science Journals Connector (OSTI)

...Infections and antibiotic resistance in nursing homes LE Nicolle LJ Strausbaugh RA Garibaldi...Infections occur frequently in nursing home residents. The most common infections...infection. Antimicrobial agent use in nursing homes is intense and usually empiric. All of...

L E Nicolle; L J Strausbaugh; R A Garibaldi

1996-01-01T23:59:59.000Z

386

Contract Mapper Full Symbology List  

E-Print Network (OSTI)

Contract Mapper Full Symbology List Colour symbology Operational Support Unit 15th October 2007 Main Road Management Area Other Fell Thin Compartments Sub-Compartments Contract Buffer Order

387

Contract Mapper Full Symbology List  

E-Print Network (OSTI)

Contract Mapper Full Symbology List Black & White symbology Operational Support Unit 15th October Compartments Sub-Compartments # # ## Management Area Fell Thin Contract Buffer Other #12;

388

Sandia National Laboratories: Job Listing  

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

Internship Opportunities - Apply by January 10, 2014 On December 4, 2013, in CRF, Energy, Facilities, Job Listing, News, News & Events, Office of Science, Research &...

389

UNCERTAINTY IN THE GLOBAL FORECAST SYSTEM  

SciTech Connect

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

390

Forecastability as a Design Criterion in Wind Resource Assessment: Preprint  

SciTech Connect

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

391

Abstract List.PDF  

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

Synthesis Workshop: University of Virginia, October 7-11, 2000 Synthesis Workshop: University of Virginia, October 7-11, 2000 LIST OF PRESENTATIONS and ACCOMPANYING ABSTRACTS Monday October 7, 2001 Relevance of SAFARI 2000: Science to National and International Program Goals 09:00 - 09:10 Official Welcome to the University of Virginia/Opening of the Synthesis Workshop Prof. Gene Block, Provost, University of Virginia 09:10 - 09:30 SAFARI 2000 - Past, Present, Future Asst. Prof. Robert J. Swap, University of Virginia 09:30 - 09:50 Relevance of SAFARI 2000 to the NASA ESE Dr. Diane Wickland, NASA HQ and Prof. Chris O. Justice, University of Maryland 09:50 - 10:10 Relevance of SAFARI 2000 to South Africa's National Research Foundation, the Department of Arts, Culture, Science and Technology

392

Census Division List  

Gasoline and Diesel Fuel Update (EIA)

please contact the National Energy Information Center at (202) 586-8800. please contact the National Energy Information Center at (202) 586-8800. Supplement Tables to the Annual Energy Outlook 2002 Census Division List Division 1 Division 2 Division 3 Division 4 Division 5 New England Middle Atlantic East North Central West North Central South Atlantic Connecticut New Jersey Illinois Iowa Delaware Maine New York Indiana Kansas District of Columbia Massachusetts Pennsylvania Michigan Minnesota Florida New Hampshire Ohio Missouri Georgia Rhode Island Wisconsin Nebraska Maryland Vermont North Dakota North Carolina South Dakota South Carolina Virginia West Virginia Division 6 Division 7 Division 8 Division 9 East South Central West South Central Mountain Pacific Alabama Arkansas Arizona Alaska

393

NREL: Newsroom Home Page  

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

The NREL Newsroom site contains a complete collection of news releases, The NREL Newsroom site contains a complete collection of news releases, listings for upcoming events and media contacts. You may also browse available photos on NREL's Image Gallery. News Releases News stories about the laboratory and renewable energy and energy efficiency technologies. Subscribe | NREL's RSS Feed (XML) January 6, 2014 - NREL Expert Honored for Energy Systems Innovations January 2, 2014 - NREL Finds a New Cellulose Digestion Mechanism by a Fast-eating Enzyme Feature News Photo of a researcher inspecting equipment. Each week, we take an in-depth, behind-the-scenes look at how NREL researchers are working to advance renewable energy and energy efficiency. Subscribe | NREL's RSS Feed (XML) Quick Links Photographs (Image Gallery) Visiting NREL Renewable Resource Maps & Data

394

DOE Zero Energy Ready Home Case Study, KB Home, San Marcos, CA, Production Home  

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

Case study of a DOE Zero Energy Ready Home in San Marcos, CA that scored HERS 52 without PV, -4 with PV. This 52,778 ft2 production home has R-20 advanced framed walls with batts plus rigid foam sheathing, an air-source heat pump for central air in sealed attic, solar water heating and 100% LED lighting.

395

DOE Zero Energy Ready Home Case Study, Garbett Homes, Herriman, UT, Production Home  

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

Case study of a DOE Zero Energy Ready Home in Herriman, UT, that scored HERS 40 without PV, -1 with PV. This 4,111 ft2 production home has R-23 advanced framed walls, and a vented attic with R-60 blown fiberglass.

396

DOE Zero Energy Ready Home Case Study, e2Homes, Winterpark, FL, Custom Homes  

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

Case study of a DOE Zero Energy Ready Home in Winter Park, FL that scored HERS 57 without PV or HERS -7 with PV. This 4,305 ft2 custom home has autoclaved aerated concrete walls, a sealed attic with R-20 spray foam, and ductless mini-split heat pumps.

397

ELECTRONIC PROOF OF SERVICE LIST and ELECTRONIC DISTRIBUTION LIST  

E-Print Network (OSTI)

.state.ca.us Deborah Dyer, Staff Counsel jbabula@energy.state.ca.us Jared Babula, Staff Counsel ronCALIFORNIA ENERGY COMMISSION ELECTRONIC PROOF OF SERVICE LIST and ELECTRONIC DISTRIBUTION LIST Revised 10/15/07 1516 Ninth Street Sacramento, CA 95814 800-822-6228 www.energy.ca.gov STARWOOD

398

Malaysia's Existing Green Homes Compliance with LEED for Homes  

Science Journals Connector (OSTI)

Abstract In this paper, the Leadership in Energy and Environmental Design for Homes (LEED-H) rating method was tested on three existing Malaysian green homes (GH). This was to ascertain the amount of changes and modifications needed to configure LEED-H to suit the local context. The three \\{GHs\\} are Demonstration, Cool and Energy Efficient House (DCEEH), Smart and Cool Home (SCH) and CoolTek House (CTH). These are benchmark Malaysian \\{GHs\\} either due to their design, construction methods, building materials or operational procedures. It was found that all case studies did not comply with at least 12 mandatory prerequisites out of 23 as outlined in LEED-H.

Muhammad Azzam Ismail; Fahanim Abdul Rashid

2014-01-01T23:59:59.000Z

399

Homes Success Stories | Department of Energy  

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

Energy Efficiency Homes Success Stories Homes Success Stories RSS The Office of Energy Efficiency and Renewable Energy's (EERE) successes in technology commercialization and...

400

In Home Networking using Optical Fiber  

Science Journals Connector (OSTI)

Increased bandwidth requirements for in-home networks create opportunities for optical fiber interconnects. We outline the requirements for in-home networking and discuss the...

Ten, Sergey

Note: This page contains sample records for the topic "lists forecasts home" 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

Home Depot Foundation | Open Energy Information  

Open Energy Info (EERE)

Name: Home Depot Foundation Place: Atlanta, GA Website: http:www.homedepotfoundation References: Home Depot Foundation1 Information About Partnership with NREL Partnership...

402

DOE Challenge Home, Washington Program Requirements | Department...  

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

More Documents & Publications DOE Challenge Home, California Program Requirements Version Tracking Document for DOE Challenge Homes, National Program Requirements (Rev. 03) DOE...

403

EPA urges testing of homes for radon  

Science Journals Connector (OSTI)

EPA urges testing of homes for radon ... The action was based on cooperative surveys of home radon levels conducted by EPA and 17 states. ...

DAVID HANSON

1988-09-19T23:59:59.000Z

404

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.

405

TELEPHONE LISTING AGENCY LOCATION TELEPHONE  

E-Print Network (OSTI)

, HPC) Camp Springs, MD COM 301-763-8201 AOC Tampa Bay, FL COM 813-828-3310 CPHC Forecaster and Warning Analyst) Pearl Harbor, HI COM 787-865-7007 DSN 471-3533 601 AOC/CODW Tyndall AFB, FL COM 850-283-5119 DSN

406

LEDS Collaboration in Action Workshop Attendee List | Open Energy  

Open Energy Info (EERE)

Attendee List Attendee List (Redirected from LEDS Collaboration in Action Workshop Participating Countries) Jump to: navigation, search LEDSGP Logo.png Advancing climate-resilient low emission development around the world Home About Tools Expert Assistance Events Publications Join Us ACDS Workshop Participant Pack Agenda Accommodations Participants Location Arrival Form Open Space Sessions Speakers Presentations Links Contact Us Participants ListofAttendeesWorkshopfinal.pdf Powered by OpenEI ledsgp.org is built on the same platform as the popular Wikipedia site. Like Wikipedia, it is a "wiki" or website developed collaboratively by a community of users. Thanks to our unique relationship with OpenEI.org, you can add or edit most content on ledsgp.org. For more information about this

407

Foundation Insulation for Existing Homes  

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

How Do We Retrofit Tough Buildings? Foundation Insulation for Existing Homes Building America Technical Update April 29 & 30, 2013 Patrick H. Huelman Cold Climate Housing Coordinator University of Minnesota Extension Foundation Insulation for Existing Homes * Context - Focused on basements and crawlspaces. - Aimed at cold climates (Climate Zones 6 & 7). - Generally aimed at liquid active walls. * Approach - Managing risks - Current solutions & best practices - Evaluating new approaches * Primary focus is to reduce energy use by 30 to 50% with emphasis on existing homes. * Promote building science solutions using a systems engineering and integrated design approach. * "Do no harm" => must ensure that safety, health, and durability are maintained or improved.

408

Energy Efficiency -- Home Page  

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

If you are having trouble, call 202-586-8800 for help. If you are having trouble, call 202-586-8800 for help. Home >Energy Users EEnergy Efficiency Page Energy-Efficiency Measurement MEASUREMENT DISCUSSION: Measures and Policy Issues Energy Intensity as a Common Surrogate for Energy Efficiency Indices as a Measure of Relative Changes Market-Basket Comprehensive Factorial Decomposition Divisia Index OTHER MEASUREMENT APPROACHES: Best Practice MEASUREMENT ISSUES : Site Energy Versus Primary Energy Physical Versus Economic Units picture of line graph on stand Energy Efficiency Measurement Discussion The development of energy-efficiency indictors, for any country, is limited by the availability of data. Data are limited for several reasons. As the amount of data collected increases so do the costs of collecting, processing, and analyzing the data. The configuration of certain technologies and processes can also limit the possibility of obtaining microdata. As an example, in the manufacturing sector, some motors are encased in such a way that it is impossible to collect data on the motor unless records have been maintained for the motor. This leads to another reason data are limited--respondent burden. Care has to be taken so that surveys are not so long that participation is discouraged or inaccurate answers are given due to the difficulty and time it takes to obtain the data.

409

Home Energy Audits | Department of Energy  

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

Weatherization » Home Energy Audits Weatherization » Home Energy Audits Home Energy Audits A home energy checkup helps owners determine where their house is losing energy and money - and how such problems can be corrected to make the home more energy efficient. A professional technician -- often called an energy auditor -- can give your home a checkup. Items shown here include checking for leaks, examining insulation, inspecting the furnace and ductwork, performing a blower door test and using an infrared camera. Learn more about a professional home energy audit. A home energy audit, also known as a home energy assessment, is the first step to assess how much energy your home consumes and to evaluate what measures you can take to make your home more energy efficient. An assessment will show you problems that may, when corrected, save you

410

Building Technologies Office: Challenge Home Events  

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

Challenge Home Events Challenge Home Events to someone by E-mail Share Building Technologies Office: Challenge Home Events on Facebook Tweet about Building Technologies Office: Challenge Home Events on Twitter Bookmark Building Technologies Office: Challenge Home Events on Google Bookmark Building Technologies Office: Challenge Home Events on Delicious Rank Building Technologies Office: Challenge Home Events on Digg Find More places to share Building Technologies Office: Challenge Home Events on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Home Energy Score Home Performance with ENERGY STAR Better Buildings Neighborhood Program Challenge Home Partner Log In Become a Partner Criteria Partner Locator Resources Housing Innovation Awards

411

Back to School and Saving Energy at Home | Department of Energy  

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

Back to School and Saving Energy at Home Back to School and Saving Energy at Home Back to School and Saving Energy at Home September 6, 2013 - 10:23am Addthis The school year can mean energy savings for your household. | Photo courtesy of ©iStockphoto/morganl The school year can mean energy savings for your household. | Photo courtesy of ©iStockphoto/morganl Erik Hyrkas Erik Hyrkas Media Relations Specialist, Office of Energy Efficiency & Renewable Energy What does this mean for me? Emptying your house for the day can save you energy and money this fall. Labor Day has come and gone, which means the kids are back at school and your home is likely empty (or emptier) during the day. With this in mind, opportunities for saving on your electric bill have increased tremendously. Check out our Energy Saver list below of ways to save

412

Selling the solar home '80: market findings for the housing industry  

SciTech Connect

An overview of the current 1980's market for solar heated and cooled houses is presented. The study is based on the first, second, and third demonstration program grants awarded by HUD under the Solar Heating and Cooling Demonstration Act of 1974. The market data collection process included interviews with industry, public officials, and consumers. Profiles are provided of the typical demonstration solar house, builder, and purchaser. Considerations in planning the solar home and designing and building the home for the local market are reviewed. The attitudes and interests of the potential solar home purchaser are discussed and a profile of buyers and nonbuyers is presented; frequently asked questions are listed. Techniques and promotional tools for attracting solar home buyers are reviewed and the reactions of purchasers living in a solar house are cited. The general outlook for the solar housing market is discussed and is considered encouraging.

Not Available

1980-01-01T23:59:59.000Z

413

PDG - 2013 Reviews in Listings  

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

Notes in the Particle Listings Notes in the Particle Listings in the 2013 Review of Particle Physics Figures in reviews are available for this review. Please use this CITATION: J. Beringer et al. (Particle Data Group), Phys. Rev. D86, 010001 (2012) and 2013 partial update for the 2014 edition. Other topics are covered in the Reviews, Tables, and Plots and in the Particle Listings Notes in the Gauge and Higgs Boson Listings The Mass and Width of the W Boson Triple Gauge Couplings Anomalous W/Z Quartic Couplings The Z Boson Anomalous Z Z gamma, Z gamma gamma, and Z Z V Couplings Higgs Boson Physics, Status of W'-Boson Searches Z'-Boson Searches Leptoquarks Axions and Other Similar Particles Collapse table Notes in the Lepton Listings Muon Anomalous Magnetic Moment Muon Decay Parameters tau Branching Fractions

414

Phone List | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

Phone List Phone List SLAC Site Office (SSO) SSO Home About Organization Chart .pdf file (155KB) Phone List Jobs Current Projects Contract Management Environment, Safety and Health (ES&H) Contact Information SLAC Site Office U.S. Department of Energy Bldg 41, M/S 08A 2575 Sand Hill Road Menlo Park, CA 94025 P: (650) 926-2505 About Phone List Print Text Size: A A A RSS Feeds FeedbackShare Page Name Office Phone Other Phone Bazzell, Kevin (650) 926-2513 C: (510) 292-0586 Burke, Patrick (650) 926-8573 C:(510) 459-3184 / BSO: (510) 486-7203 Golan, Paul (650) 926-3208 C: (650) 390-7116 Heard, Mitzi (650) 926-5704 C: (406) 498-1612 Joma, Hannibal (650) 926-5325 C: (408) 857-3634 Lee, Hanley (650) 926-3207 C: (650) 924-3639 Maune, Ernest (650) 926-4168 C: (408) 593-0407

415

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

416

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

417

Voluntary Green Power Market Forecast through 2015  

NLE Websites -- All DOE Office Websites (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

418

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

419

FORSITE: a geothermal site development forecasting system  

SciTech Connect

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

420

Waginogans and Other Indian Homes  

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

Waginogans and Other Indian Homes Waginogans and Other Indian Homes Nature Bulletin No. 578 October 31, 1959 Forest Preserve District of Cook County Daniel Ryan, President Roberts Mann, Conservation Editor Richard Becker, Naturalist WAGINOGANS AND OTHER INDIAN HOMES The American Indians built homes of many types that varied according to the materials available and the customs and culture of each tribe or nation. Sioux and other plains Indians who followed the buffalo lived in teepees. The "longhouse" of the Iroquois, built of poles covered with bark and surrounded by a palisade, was a large permanent structure housing several families. So, too, were the fort-like pueblos and cliff dwellings built of rocks and adobe clay by some of the southwestern "agricultural" Indians.

Note: This page contains sample records for the topic "lists forecasts home" 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

Home Cooling | Department of Energy  

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

Cooling Cooling Home Cooling Ventilation Systems for Cooling Learn how to avoid heat buildup and keep your home cool with ventilation. Read more Cooling with a Whole House Fan A whole-house fan, in combination with other cooling systems, can meet all or most of your home cooling needs year round. Read more Although your first thought for cooling may be air conditioning, there are many alternatives that provide cooling with less energy use. You might also consider fans, evaporative coolers, or heat pumps as your primary means of cooling. In addition, a combination of proper insulation, energy-efficient windows and doors, daylighting, shading, and ventilation will usually keep homes cool with a low amount of energy use in all but the hottest climates. Although ventilation is not an effective cooling strategy in hot, humid

422

4Home | Open Energy Information  

Open Energy Info (EERE)

4Home 4Home Jump to: navigation, search Name 4Home Place Sunnyvale, California Zip 94085 Sector Services Product California-based developer of home automation software and services. Coordinates 32.780338°, -96.547405° 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":32.780338,"lon":-96.547405,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

423

Texas Home Vegetable Gardening Guide  

E-Print Network (OSTI)

With this manual, home gardeners are sure to be successful growing vegetables. It includes information on garden planning, crop selection, soil preparation, fertilization, planting techniques, watering, pest control and harvesting. Tables show...

Masabni, Joseph

2009-02-24T23:59:59.000Z

424

THE FUTURE OF HOME NETWORKING  

Science Journals Connector (OSTI)

Abstract (40-Word Limit): The proliferation of smart consumer devices and of the emerging high-bandwidth user applications has a strong impact on the requirements put on in-home...

Ng'oma, Anthony; Yang, Hejie; Wagner, Rich

425

Kansas nursing homes overusing antipsychotics  

Science Journals Connector (OSTI)

Kansas state ranks 47th...among the states and District of Columbia for the use of powerful antipsychotics to control the behaviour of nursing home residents with Alzheimer’s or dementias, according...

2014-09-01T23:59:59.000Z

426

Search Advanced Search Home > News  

E-Print Network (OSTI)

Search Advanced Search Home > News [-] Text [+] Email Print tweet 0 tweets RSS Feeds Newsletters with bodily tissues, "these approaches might have the potential to redefine design strategies for advanced

Rogers, John A.

427

Forecasting hotspots using predictive visual analytics approach  

SciTech Connect

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

428

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

429

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

430

Holiday Homes and Sustainable Tourism Planning  

E-Print Network (OSTI)

Holiday Homes and Sustainable Tourism Planning in Northern Jutland TEMPUS SEMINAR 27 April 2011 overnight stays and 56% of all foreigners The Danish Holiday Home #12;The Danish Holiday Home - Owners · The typical owner: Middle age (45+) / elderly No children living at home · Space-time Distance Danish

Hansen, René Rydhof

431

Biomass 2014 Attendee List | Department of Energy  

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

Biomass 2014 Attendee List Biomass 2014 Attendee List This document is the attendee list for Biomass 2014, held July 29-July 30 in Washington, D.C. biomass2014attendeelist.pdf...

432

Building Technologies Office: Home Energy Score Partners  

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

Partners to someone by E-mail Partners to someone by E-mail Share Building Technologies Office: Home Energy Score Partners on Facebook Tweet about Building Technologies Office: Home Energy Score Partners on Twitter Bookmark Building Technologies Office: Home Energy Score Partners on Google Bookmark Building Technologies Office: Home Energy Score Partners on Delicious Rank Building Technologies Office: Home Energy Score Partners on Digg Find More places to share Building Technologies Office: Home Energy Score Partners on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Home Energy Score Get Involved Partners Research & Background FAQs Home Performance with ENERGY STAR Better Buildings Neighborhood Program Challenge Home Guidelines for Home Energy Professionals

433

Home Energy Score Partners | Department of Energy  

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

Residential Buildings » Home Energy Score » Home Energy Score Residential Buildings » Home Energy Score » Home Energy Score Partners Home Energy Score Partners Home Energy Score Partners The U.S. Department of Energy (DOE) is partnering with state and local governments, utilities, and non-profit organizations across the country to make the Home Energy Score widely available to homeowners. Current partners, along with descriptions of their residential energy efficiency efforts, can be found by clicking on this interactive map. To become a Home Energy Score Partner, an organization must score a minimum of 200 homes in the first year, and provide quality assurance by rescoring 5% of these homes. Organizations interested in becoming a Partner can contact the program via email at homeenergyscore@ee.doe.gov. You can find frequently asked questions for partners on the Frequently

434

DOE Challenge Home Resources | Department of Energy  

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

Resources Resources DOE Challenge Home Resources DOE Challenge Home provides resources for successfully building and selling net zero-energy ready homes in today's market. DOE Challenge Home Training & Events DOE Challenge Home Technical Resources DOE Challenge Home Training Orientation Webinar (video, text version, presentation slides) Gaining Recognition as a Leader webinar (text version) Zero Net-Energy Ready Homes Design Options for Locating Ducts within Conditioned Space DOE Challenge Home Builder Profiles Learn more about DOE Challenge Home Builders on their individual profiles, look up their case studies in the Building America Program Publication and Product Library, or search the Building America Solution Center. DOE Challenge Home Sales and Marketing A Symbol of Excellence Consumer Brochure

435

Validation of the Manufactured Home Energy Audit (MHEA)  

SciTech Connect

The Manufactured Home Energy Audit (MHEA) is an energy audit tool designed specifically to identify recommended weatherization measures for mobile homes as part of the U.S. Department of Energy's (DOE's) Weatherization Assistance Program. A field validation of MHEA was performed using billing/delivery data collected on 86 mobile homes heated primarily by electricity, natural gas, or propane to assess the audit's accuracy and the validity of its recommendations. The validation found that MHEA overpredicts the annual space-heating energy savings of weatherization measures to be installed in mobile homes, which leads to low realization rates, primarily because of its large overprediction of annual pre-weatherization space-heating energy consumption. However, MHEA's annual space-heating energy savings estimates and realization rates can be improved considerably using MHEA's built-in billing adjustment feature. In order to improve the accuracy of MHEA's annual space-heating energy savings estimates and realization rate, the cause of MHEA's overprediction of annual pre-weatherization space-heating energy consumption needs to be further investigated and corrected. Although MHEA's billing adjustment feature improved MHEA's annual space-heating energy savings estimates, alternative methods of making the correction that may provide improved performance should be investigated. In the interim period before permanent improvements to MHEA can be made, the following recommendations should be followed: (a) do not enter into MHEA insulation thicknesses of 1 in. or less and especially zero (0 in.) unless such low levels have been verified through visual inspection of several parts of the envelope area in question; (b) use MHEA's billing adjustment feature to develop a list of recommended measures based on adjusted energy savings if possible, especially in mobile homes that have several major energy deficiencies; and (c) do not use MHEA's "evaluate duct sealing" option at this time (although certainly seal all duct leaks and use diagnostics as appropriate to find leakage sites and quantify improvements).

Ternes, Mark P [ORNL

2007-12-01T23:59:59.000Z

436

Distant Speech Recognition for Home Automation: Preliminary Experimental Results in a Smart Home  

E-Print Network (OSTI)

Distant Speech Recognition for Home Automation: Preliminary Experimental Results in a Smart Home a new home automation system based on voice command. The study focused on two tasks: distant speech; triggered language models; home automation; smart home I. INTRODUCTION The evolution of ICT led

Paris-Sud XI, Université de

437

Home Maintenance and Repair Owning a home is a major responsibility.  

E-Print Network (OSTI)

Home Maintenance and Repair Owning a home is a major responsibility. Not only do you have the obligation of paying the mortgage each month, but you also have to maintain your home so that it remains a good investment. When talking about taking care of your home, most folks lump home maintenance

438

Path integration in desert ants, Cataglyphis: how to make a homing ant run away from home  

Science Journals Connector (OSTI)

...how to make a homing ant run away from home David Andel * Rudiger Wehner * Author for...that during the repeated landmark-guided home runs the an's path integrator runs continually...result is that the homing ants run away from home. This finding implies that the ants do...

2004-01-01T23:59:59.000Z

439

Building America Efficient Solutions for New Homes Case Study: Tommy Williams Homes Initial Performance of Two Zero Energy Homes, Gainesville, Florida  

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

Tommy Williams Homes worked with PNNL, Florida HERO, Energy Smart Home Plans, and Florida Solar Energy Center to design and test two zero energy homes.

440

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

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

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.

Note: This page contains sample records for the topic "lists forecasts home" 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

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

442

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

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

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.

443

Metrics for Evaluating the Accuracy of Solar Power Forecasting: Preprint  

SciTech Connect

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

444

DPC list - DOE Directives, Delegations, and Requirements  

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

DPC list by Website Administrator PDF document icon DPC list 9-9-14.pdf - PDF document, 390 KB (399650 bytes...

445

List of SEP Reporting Metrics  

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

DOE State Energy Program List of Reporting Metrics, which was produced by the Office of Energy Efficiency and Renewable Energy Weatherization and Intergovernmental Program for SEP and the Energy Efficiency and Conservation Block Grants (EECBG) programs.

446

Automated Home Energy Management (AHEM) Standing Technical Committee Strategic Plan - February 2012  

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

Automated Home Energy Management (AHEM) Automated Home Energy Management (AHEM) Standing Technical Committee Strategic Plan, v2011c - February 2012 Committee Chair: 2011 Kurt Roth Fraunhofer 2012 Lieko Earle, Bethany Sparn NREL 2 Prioritization of Gaps, Barriers and Needs The following table lists a prioritization for the Gaps, Barriers and Needs included in the Building America AHEM STC Strategic Plan. Table 1. Gaps and Barriers for AHEM STC. Rank Description 1 Energy Savings / ROI Insufficiently Quantified 2 Lack of Consumer Awareness of AHEM Products 3 Low Interest in Managing Energy Use 4 Complexity of AHEM Products Contents Summary of AHEM STC Strategic Plan ..................................................................................................................... 3

447

Electric Grid - Forecasting system licensed | ornl.gov  

NLE Websites -- All DOE Office Websites (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...

448

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

449

Forecasting supply/demand and price of ethylene feedstocks  

SciTech Connect

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

450

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

NLE Websites -- All DOE Office Websites (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...

451

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

NLE Websites -- All DOE Office Websites (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...

452

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

453

Not Your Parents' Mobile Home  

SciTech Connect

This article describes construction of the first manufactured home ever produced from structural insulated panels. The home was built in July 2000 by Champion Enterprises at its Silverton, Oregon, plant. The house was completed on the assembly line in 9 days including a 300-mile road test. The paper examines the design and approval process leading to the project, the manufacturing process and its adjustment to SIPs, and the transportation and energy performance of the house after it was built. PNNL coordinated this project and conducted long-term monitoring on the house. The WSU Energy Program conducted building diagnostics testing once the house was occupied. PNNL and WSU involvement was funded by the U.S. DOE Building America Program. The Oregon Office of Energy conducted blower door and duct blaster tests. The completed home was estimated to reduce energy consumption by 50% and to have twice the structural strength required by HUD code for manufactured homes. The demonstration proved that the manufactured home production line could support SIPs production simultaneously with traditional construction and without major modifications, the line work in parallel with SIPs and traditional materials. The project revealed severl possibilities for further improving cost and time savings with SIPs construction, that might translate into increased capacity.

Baechler, Michael C.; Hadley, Donald L.

2002-11-01T23:59:59.000Z

454

Federal Energy Management Program: Technology Deployment List  

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

List to someone by E-mail List to someone by E-mail Share Federal Energy Management Program: Technology Deployment List on Facebook Tweet about Federal Energy Management Program: Technology Deployment List on Twitter Bookmark Federal Energy Management Program: Technology Deployment List on Google Bookmark Federal Energy Management Program: Technology Deployment List on Delicious Rank Federal Energy Management Program: Technology Deployment List on Digg Find More places to share Federal Energy Management Program: Technology Deployment List on AddThis.com... Energy-Efficient Products Technology Deployment Technology Deployment List Solid-State Lighting Working Group Renewable Energy Technology Deployment List Technology Ranking Criteria Technologies featured in the Technology Deployment List were ranked by:

455

The Home Energy Score: Measuring 'MPG' For Your Home | Department of Energy  

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

The Home Energy Score: Measuring 'MPG' For Your Home The Home Energy Score: Measuring 'MPG' For Your Home The Home Energy Score: Measuring 'MPG' For Your Home November 16, 2010 - 8:52am Addthis Dr. Kathleen Hogan Dr. Kathleen Hogan Deputy Assistant Secretary for Energy Efficiency Editor's Note: Cross-posted from the Energy Blog. You may know the miles per gallon your car gets, but have you ever wanted to know the miles per gallon your home gets? Vice President Biden and Secretary Chu recently launched the Home Energy Score program to help consumers save money by saving energy. The program is kicking off in ten pilot locations across the nation. The Home Energy Score is like a miles per gallon rating - but for your home. It summarizes a home's energy performance on a simple 10-point scale - with a 10 for the top performers, or those that keep the home

456

The Home Energy Score: Measuring "MPG" For Your Home | Department of Energy  

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

The Home Energy Score: Measuring "MPG" For Your Home The Home Energy Score: Measuring "MPG" For Your Home The Home Energy Score: Measuring "MPG" For Your Home November 9, 2010 - 2:27pm Addthis Acting Under Secretary Cathy Zoi talks about the new Home Energy Score pilot program. Dr. Kathleen Hogan Dr. Kathleen Hogan Deputy Assistant Secretary for Energy Efficiency You may know the miles per gallon your car gets, but have you ever wanted to know the miles per gallon your home gets? Today, Vice President Biden and Secretary Chu launched the Home Energy Score program to help consumers save money by saving energy. The program is kicking off in ten pilot locations across the nation. The Home Energy Score is like a miles per gallon rating - but for your home. It summarizes a home's energy performance on a simple 10-point

457

The Home Energy Score: Measuring "MPG" For Your Home | Department of Energy  

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

The Home Energy Score: Measuring "MPG" For Your Home The Home Energy Score: Measuring "MPG" For Your Home The Home Energy Score: Measuring "MPG" For Your Home November 9, 2010 - 2:27pm Addthis Acting Under Secretary Cathy Zoi talks about the new Home Energy Score pilot program. Dr. Kathleen Hogan Dr. Kathleen Hogan Deputy Assistant Secretary for Energy Efficiency You may know the miles per gallon your car gets, but have you ever wanted to know the miles per gallon your home gets? Today, Vice President Biden and Secretary Chu launched the Home Energy Score program to help consumers save money by saving energy. The program is kicking off in ten pilot locations across the nation. The Home Energy Score is like a miles per gallon rating - but for your home. It summarizes a home's energy performance on a simple 10-point

458

The Home Energy Score: Measuring 'MPG' For Your Home | Department of Energy  

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

The Home Energy Score: Measuring 'MPG' For Your Home The Home Energy Score: Measuring 'MPG' For Your Home The Home Energy Score: Measuring 'MPG' For Your Home November 16, 2010 - 8:52am Addthis Dr. Kathleen Hogan Dr. Kathleen Hogan Deputy Assistant Secretary for Energy Efficiency Editor's Note: Cross-posted from the Energy Blog. You may know the miles per gallon your car gets, but have you ever wanted to know the miles per gallon your home gets? Vice President Biden and Secretary Chu recently launched the Home Energy Score program to help consumers save money by saving energy. The program is kicking off in ten pilot locations across the nation. The Home Energy Score is like a miles per gallon rating - but for your home. It summarizes a home's energy performance on a simple 10-point scale - with a 10 for the top performers, or those that keep the home

459

DOE Zero Energy Ready Home Case Study, Palo Duro Homes, Inc....  

Energy Savers (EERE)

Study, Palo Duro Homes, Inc., Albuquerque, NM, Production DOE Zero Energy Ready Home Case Study, Palo Duro Homes, Inc., Albuquerque, NM, Production Case study of a DOE Zero Energy...

460

DOE Zero Energy Ready Home Case Study: Palo Duro Homes, Albuquerque, NM  

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

Case study of a New Mexico-based home builder who has built more DOE Zero Energy Ready certified homes than any builder in the nation. One example home achieved a HERS score of HERS 55 without PV...

Note: This page contains sample records for the topic "lists forecasts home" 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

Folding@Home and Genome@Home: Using distributed computing to tackle previously intractable problems in  

E-Print Network (OSTI)

Folding@Home and Genome@Home: Using distributed computing to tackle previously intractable problems, volunteered by private citizens across the globe (Butler, 2000). For example, SETI@home has accumulated over

Snow, Christopher

462

Enabling research in care homes: an evaluation of a national network of research ready care homes  

Science Journals Connector (OSTI)

In the UK care homes are one of the main providers of ... dementia. Despite the recent increase in care home research, residents with dementia are often excluded from studies. Care home research networks have bee...

Sue L Davies; Claire Goodman; Jill Manthorpe…

2014-04-01T23:59:59.000Z

463

Building Technologies Office: Home Energy Score Publications  

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

Publications to someone by E-mail Publications to someone by E-mail Share Building Technologies Office: Home Energy Score Publications on Facebook Tweet about Building Technologies Office: Home Energy Score Publications on Twitter Bookmark Building Technologies Office: Home Energy Score Publications on Google Bookmark Building Technologies Office: Home Energy Score Publications on Delicious Rank Building Technologies Office: Home Energy Score Publications on Digg Find More places to share Building Technologies Office: Home Energy Score Publications on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Home Energy Score Get Involved Partners Research & Background FAQs Home Performance with ENERGY STAR Better Buildings Neighborhood Program Challenge Home

464

Home Energy Scoring Tool | Open Energy Information  

Open Energy Info (EERE)

Home Energy Scoring Tool Home Energy Scoring Tool Jump to: navigation, search Tool Summary Name: Home Energy Scoring Tool Agency/Company /Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings - Residential Phase: Evaluate Effectiveness and Revise as Needed Topics: Resource assessment Resource Type: Online calculator User Interface: Website Website: www1.eere.energy.gov/buildings/homeenergyscore/ OpenEI Keyword(s): Energy Efficiency and Renewable Energy (EERE) Tools Language: English References: Home Energy Scoring Tool[1] Generate clear and credible home energy assessments; recommend customized upgrades and cost saving tips; compare the energy use of different homes The Home Energy Score allows a homeowner to compare her or his home's energy consumption to that of other homes, similar to a vehicle's

465

Home Energy Assessments | Department of Energy  

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

Energy Assessments Energy Assessments Home Energy Assessments Addthis Description A home energy assessment, also known as a home energy audit, is the first step to assess how much energy your home consumes and to evaluate what measures you can take to make your home more energy efficient. An assessment will show you problems that may, when corrected, save you significant amounts of money over time. This video shows some of the ways that a contractor may test your home during an assessment, and helps you understand how an assessment can help you move toward energy savings. Speakers Jason Dispenza Duration 1:44 Topic Home Weatherization Home Energy Audits Consumption Credit Energy Department Video MR. : Core to any energy audit, you've got a blower door test; an infrared camera scan; combustion safety testing for homes with gas

466

Building Technologies Office: DOE Challenge Home  

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

DOE Challenge Home DOE Challenge Home Since 2008, the U.S. Department of Energy's (DOE) Builders Challenge program has recognized hundreds of leading builders for their achievements in energy efficiency-resulting in over 14,000 energy efficient homes and millions of dollars in energy savings. The DOE Challenge Home - an ambitious successor to the Builders Challenge program - represents a whole new level of home performance, with rigorous requirements that ensure outstanding levels of energy savings, comfort, health, and durability. Find partners & homes Locate top builders and zero net-energy ready homes Find partners & homes Technical Resources Requirements for building and certifying a DOE Challenge Home Technical Resources Become a Partner Complete online registration to become a partner

467

Export.gov - Ireland Home  

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

Doing Business in Ireland Doing Business in Ireland Register | Manage Account Search Our Site Click to Search Our Site Export.gov Home Opportunities By Industry By Country Market Research Trade Events Trade Leads Free Trade Agreements Solutions International Sales & Marketing International Financing International Logistics Licenses & Regulations Trade Data & Analysis Trade Problems Locations Domestic Offices International Offices FAQ Blog Connect Home > Ireland Local time in Ireland: Print | E-mail Page Ireland Ireland Home Recent Events Doing Business in Ireland Services for U.S. Companies Trade Events Business Service Providers Links Internship 2014 U.S. Franchises Tourism Information Contact Us Our Worldwide Network About Us Press Room Other European Markets Other Worldwide Markets Welcome to the U.S. Commercial Service in Ireland

468

Homes Blog | Department of Energy  

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

Blog Blog Homes Blog RSS November 8, 2013 The Jackson County Welcome Center in Moss Point, Mississippi. The Mississippi Public Service Commission has approved new rules that will help provide utility customers several pathways to increase energy efficiency. | Photo courtesy of Energy and Natural Resources Division, Mississippi Development Authority Mississippi Adopts New Rules to Save Energy, Money The Mississippi Public Service Commission has issued new rules that will help provide utility customers several pathways to increase energy efficiency. August 15, 2013 New Energy Saver 101 infographic breaks down a home energy audit, explaining what energy auditors look for and the special tools they use to determine where a home is wasting energy. | Infographic by Sarah Gerrity, Energy Department.

469

Export.gov - Home page  

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

Hrvatski Hrvatski Register | Manage Account Search Our Site Click to Search Our Site Export.gov Home Opportunities By Industry By Country Market Research Trade Events Trade Leads Free Trade Agreements Solutions International Sales & Marketing International Financing International Logistics Licenses & Regulations Trade Data & Analysis Trade Problems Locations Domestic Offices International Offices FAQ Blog Connect Home > Croatia Local Time: Print | E-mail Page Croatia Croatia Home Doing Business in Croatia Market Research on Croatia Services for U.S. Companies Trade Events Business Service Providers IPR Toolkit Study in the United States Internship with the U.S. Commercial Service Contact Us Our Worldwide Network About Us Press Room Other European Markets Other Worldwide Markets

470

Department of Energy Home Page  

Office of Scientific and Technical Information (OSTI)

US DEPARTMENT OF ENERGY Search Home Page Contents US DEPARTMENT OF ENERGY Search Home Page Contents [ABOUT DOE] About The Department of Energy (Learn about the Department of Energy, its mission, plans, organizational structure, accomplishments and the Secretary of Energy Federico Peña.) [DEPARTMENTAL RESOURCES] Departmental Resources (Look for information across the Department, connect to other Departmental Home Pages, or search for scientific and technical information through such systems as the DOE Information Bridge, containing searchable citations of worldwide energy research as well as bibliographic citations with links to DOE sponsored or acquired full-text reports; EnergyFiles, DOE's virtual library environment containing energy-related STI and tools to facilitate information use in the R&D process; and the DOE Reports Bibliographic

471

Export.gov - Australia Home  

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

Australian Importers Australian Importers Register | Manage Account Search Our Site Click to Search Our Site Export.gov Home Opportunities By Industry By Country Market Research Trade Events Trade Leads Free Trade Agreements Solutions International Sales & Marketing International Financing International Logistics Licenses & Regulations Trade Data & Analysis Trade Problems Locations Domestic Offices International Offices FAQ Blog Connect Home > Australia Local time in Sydney and Melbourne: : Print | E-mail Page Australia Australia Home Doing Business in Australia Market Research on Australia Services for U.S. Companies Trade Events Business Service Providers Links Internships Contact Us Our Worldwide Network About Us Press Room Other Worldwide Markets G'day and welcome! The U.S. Commercial Service, Australia helps U.S. companies do business in

472

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

473

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

474

Building America Whole-House Solutions for New Homes: Artistic Homes, Albuquerque, New Mexico  

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

Case study of Artistic Homes who worked with Building America research partners Building Science Corporation and BIRA to design homes that achieve HERS

475

An initial technology roadmap for home automation : home and personal life management.  

E-Print Network (OSTI)

??Home Automation (HA) has emerged as a prominent ¯eld for researchers and in- vestors confronting the challenge of penetrating the average home user market with… (more)

Tom, Mary

2010-01-01T23:59:59.000Z

476

Comparison of four different types of prefab homes and a site-built home.  

E-Print Network (OSTI)

??There are currently many prefab homes in the world. Prefab homes are becoming more and more popular because of assumed advantages such as low price… (more)

Kim, Taehyun

2009-01-01T23:59:59.000Z

477

Nursing Home Administrators' Personality And Nursing Home Quality: Correlations Between The Predictive Index And Cms Ratings.  

E-Print Network (OSTI)

??The approximately two million residents in nursing homes are nearly totally dependent on the care they receive from the nursing homes' staff. The quality of… (more)

Osbaldiston, Kelly Anne

2011-01-01T23:59:59.000Z

478

DOE Zero Energy Ready Home Case Study 2013: Garbett Homes, Herriman...  

Energy Savers (EERE)

Garbett Homes Herriman, UT BUILDING TECHNOLOGIES OFFICE The U.S. Department of Energy invites home builders across the country to meet the extraordinary levels of excellence and...

479

DOE Zero Energy Ready Home High-Performance Home Sales Training Part 1 Webinar-- Text Version  

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

Below is the text version of the webinar DOE Zero Energy Ready Home High-Performance Home Sales Training Part 1, presented in February 2015.

480

Argonne TTRDC - Green Racing - Home  

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

* Home * Home * Photo Gallery * Results and Recaps GREET Hybrid Electric Vehicles Hydrogen & Fuel Cells Materials Modeling, Simulation & Software Plug-In Hybrid Electric Vehicles PSAT Smart Grid Student Competitions Technology Analysis Transportation Research and Analysis Computing Center Working With Argonne Contact TTRDC Green Racing at Argonne green racing track What is Green Racing? green racing Left to right: chief crew mechanic Mark Jones, team owner Marty Zehr, driver Dalton Zehr, Circle Track magazine editor Robert Fisher, Argonne researcher Forrest Jehlik, electrical engineer Danny Bocci. green racing simulator Green Racing Simulator green racing sim trailer Green Racing Simulator Trailer Exhibit Green Racing uses motor sport competitions as a platform to help rapidly

Note: This page contains sample records for the topic "lists forecasts home" 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
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481

EERE: EERE Successes Home Page  

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

Successes Search Successes Search Search Help EERE Successes EERE » Successes Printable Version Share this resource Home Crosscutting Sustainable Transportation Bioenergy Hydrogen & Fuel Cells Vehicles Renewable Electricity Geothermal Solar Water Wind Energy Efficiency Buildings Federal Energy Management Homes Manufacturing This collection of the Office of Energy Efficiency and Renewable Energy's (EERE) successes highlights the positive impact of its work with businesses, industry partners, universities, research labs, and other entities to increase the use and effectiveness of affordable renewable energy and energy efficiency technologies. EERE's successes are organized by category into milestones, community-focused successes, and research successes. Browse crosscutting initiative and commercialization successes,

482

Home: Directives, Delegations, and Requirements  

NLE Websites -- All DOE Office Websites

content. | Skip to navigation content. | Skip to navigation Site Map Contact Us Current Documents Archived Documents Entire Site only in current section Advanced Search... U.S. Department of Energy Office of Management Directives, Delegations, and Requirements Sections Home Directives Current Directives Draft Directives Archives Delegations Current Delegations Current Designations Rescinded Organizations' Assignment of Responsibility Development & Review RevCom Writers' Tools DPC Corner References News and Updates Help Personal tools You are here: Office of Management » Directives, Delegations, and Requirements Info Home Directives are the Department of Energy's primary means of establishing policies, requirements, responsibilities, and procedures for Departmental elements and contractors. Directive

483

Home Energy Loan Program | Department of Energy  

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

Home Energy Loan Program Home Energy Loan Program Home Energy Loan Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Commercial Weatherization Cooling Appliances & Electronics Other Heat Pumps Commercial Lighting Lighting Water Heating Windows, Doors, & Skylights Solar Buying & Making Electricity Maximum Rebate $6,000 from LA DNR Program Info State Louisiana Program Type State Loan Program Rebate Amount 50% of loan amount subsidized by LA DNR Provider Louisiana Department of Natural Resources The Home Energy Loan Program (HELP), administered by the Louisiana Department of Natural Resources (DNR), allows homeowners to get a five-year loan to improve the energy efficiency of their existing home. DNR

484

Department of Energy - Home Energy Audits  

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

63 en #AskEnergySaver: Answering Your Home 63 en #AskEnergySaver: Answering Your Home Energy-Saving Questions http://energy.gov/articles/askenergysaver-answering-your-home-energy-saving-questions home-energy-saving-questions" class="title-link">#AskEnergySaver: Answering Your Home Energy-Saving Questions

485

Building America Efficient Solutions for New Homes Case Study: Ravenwood Homes and Energy Smart Home Plans, Inc., Cape Coral, Florida  

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

Ravenwood Homes achieved a HERS score of 15 on its high- Ravenwood Homes achieved a HERS score of 15 on its high- performance home with design assistance from a Building America research team including Pacific Northwest National Laboratory, Energy Smart Home Plans, LLC, and Florida HERO. The home which is located in southwestern Florida, was completed in 2011 and includes a 6 KW rooftop photovoltaic system; without the PV, the home achieves a HERS rating of 65. Ceilings that provide a continuous air barrier can be a key energy-saving feature of a home. In this home the builder installed the ceiling drywall as one continuous layer then installed duct chases in dropped ceilings beneath this drywall so that ducts were installed in conditioned space with an unbroken air barrier above. Interior walls were also attached to

486

Building America Whole-House Solutions for New Homes: Winchester Homes and Camberly Homes- Silver Spring, Maryland (Fact Sheet)  

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

The Partnership for Home Innovation team worked with the builder to develop a new set of high performance home designs—including advanced wall and HVAC systems—that could be applicable on a...

487

Weatherization and Intergovernmental Program: Guidelines for Home Energy  

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

Home Energy Home Energy Workers to someone by E-mail Share Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project: Benefits for Home Energy Workers on Facebook Tweet about Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project: Benefits for Home Energy Workers on Twitter Bookmark Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project: Benefits for Home Energy Workers on Google Bookmark Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project: Benefits for Home Energy Workers on Delicious Rank Weatherization and Intergovernmental Program: Guidelines for Home Energy Professionals Project: Benefits for Home Energy Workers on Digg

488

Trailer homes in Oak Ridge | Y-12 National Security Complex  

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

Trailer homes in Oak Ridge Trailer homes in Oak Ridge An aerial of Oak Ridge showing the extensive use of trailer homes...

489

Building America Efficient Solutions for New Homes Case Study...  

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

Smart Home Plans, Leland, North Carolina Building America Efficient Solutions for New Homes Case Study: Heritage Buildings, Inc., and Energy Smart Home Plans, Leland, North...

490

Homes Weatherized by State March 2010 | Department of Energy  

Energy Savers (EERE)

March 2010 Homes Weatherized by State March 2010 Weatherization Assistance Program Homes Weatherized By State through 03312010 HomesWeatherizedbyStateQ12010.pdf More...

491

NREL Develops Method to Evaluate Accuracy of Home Energy Scoring...  

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

Using data from existing homes, NREL researchers boost the accuracy of the new software tool. Analysts, home energy rating providers, and home performance contractors commonly use...

492

Zero Energy Ready Home - 2014 BTO Peer Review | Department of...  

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

Zero Energy Ready program, formerly known as the DOE Challenge Home program, is to transform the housing market to high-performance homes. These homes are extremely energy...

493

DOE Challenge Home: Zero Net-Energy Ready Training  

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

The DOE Challenge Home offers leading builders a timely solution for differentiating their product from existing homes as well as minimum code new homes.

494

Building America Whole-House Solutions for New Homes: Artistic...  

Energy Savers (EERE)

DOE Zero Energy Ready Home Case Study: Palo Duro Homes, Albuquerque, NM Building America Whole-House Solutions for New Homes: Nelson Construction, Farmington, Connecticut...

495

DOE Zero Energy Ready Home Case Study: Sterling Brook Custom...  

Energy Savers (EERE)

TX More Documents & Publications DOE Zero Energy Ready Home Case Study: Caldwell and Johnson, Charlestown, RI DOE Zero Energy Ready Home Case Study: Mandalay Homes, Prescott...

496

Building America Zero Energy Ready Home Case Study: Imery Group...  

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

Imery Group, Proud Green Home, Serenbe GA Building America Zero Energy Ready Home Case Study: Imery Group, Proud Green Home, Serenbe GA Case study describing the first...

497

DOE Zero Energy Ready Home Case Study 2013: Preferred Builders...  

Energy Savers (EERE)

Building Standard Emerald level, the Connecticut Home Builders Industry Awards for Best Green Energy Effi cient Spec Home and Best Green Energy Effi cient Home Overall, and...

498

DOE Zero Energy Ready Home Consolidated Renewable Energy Ready...  

Energy Savers (EERE)

Consolidated Renewable Energy Ready Checklist DOE Zero Energy Ready Home Consolidated Renewable Energy Ready Checklist All homes certified as DOE Zero Energy Ready Homes must meet...

499

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

500

Voluntary Green Power Market Forecast through 2015  

SciTech Connect

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