Powered by Deep Web Technologies
Note: This page contains sample records for the topic "forecasts future residential" 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

Baseline data for the residential sector and development of a residential forecasting database  

SciTech Connect (OSTI)

This report describes the Lawrence Berkeley Laboratory (LBL) residential forecasting database. It provides a description of the methodology used to develop the database and describes the data used for heating and cooling end-uses as well as for typical household appliances. This report provides information on end-use unit energy consumption (UEC) values of appliances and equipment historical and current appliance and equipment market shares, appliance and equipment efficiency and sales trends, cost vs efficiency data for appliances and equipment, product lifetime estimates, thermal shell characteristics of buildings, heating and cooling loads, shell measure cost data for new and retrofit buildings, baseline housing stocks, forecasts of housing starts, and forecasts of energy prices and other economic drivers. Model inputs and outputs, as well as all other information in the database, are fully documented with the source and an explanation of how they were derived.

Hanford, J.W.; Koomey, J.G.; Stewart, L.E.; Lecar, M.E.; Brown, R.E.; Johnson, F.X.; Hwang, R.J.; Price, L.K.

1994-05-01T23:59:59.000Z

2

Current Status and Future Scenarios of Residential Building  

E-Print Network [OSTI]

LBNL-2416E Current Status and Future Scenarios of Residential Building Energy Consumption in China and Future Scenarios of Residential Building Energy Consumption in China Nan Zhou*, Masaru Nishida, and Weijun Gao Keywords: China, residential building, modeling, energy intensity, energy efficiency, scenario

3

HIERARCHY OF PRODUCTION DECISIONS Forecasts of future demand  

E-Print Network [OSTI]

HIERARCHY OF PRODUCTION DECISIONS Forecasts of future demand Aggregate plan Master production Planning and Forecast Bias · Forecast error seldom is normally distributed · There are few finite planning

Brock, David

4

Residential applliance data, assumptions and methodology for end-use forecasting with EPRI-REEPS 2.1  

SciTech Connect (OSTI)

This report details the data, assumptions and methodology for end-use forecasting of appliance energy use in the US residential sector. Our analysis uses the modeling framework provided by the Appliance Model in the Residential End-Use Energy Planning System (REEPS), which was developed by the Electric Power Research Institute. In this modeling framework, appliances include essentially all residential end-uses other than space conditioning end-uses. We have defined a distinct appliance model for each end-use based on a common modeling framework provided in the REEPS software. This report details our development of the following appliance models: refrigerator, freezer, dryer, water heater, clothes washer, dishwasher, lighting, cooking and miscellaneous. Taken together, appliances account for approximately 70% of electricity consumption and 30% of natural gas consumption in the US residential sector. Appliances are thus important to those residential sector policies or programs aimed at improving the efficiency of electricity and natural gas consumption. This report is primarily methodological in nature, taking the reader through the entire process of developing the baseline for residential appliance end-uses. Analysis steps documented in this report include: gathering technology and market data for each appliance end-use and specific technologies within those end-uses, developing cost data for the various technologies, and specifying decision models to forecast future purchase decisions by households. Our implementation of the REEPS 2.1 modeling framework draws on the extensive technology, cost and market data assembled by LBL for the purpose of analyzing federal energy conservation standards. The resulting residential appliance forecasting model offers a flexible and accurate tool for analyzing the effect of policies at the national level.

Hwang, R.J,; Johnson, F.X.; Brown, R.E.; Hanford, J.W.; Kommey, J.G.

1994-05-01T23:59:59.000Z

5

Residential Appliance Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1  

E-Print Network [OSTI]

LBL-34046 UC-350 Residential Appliance Data, Assumptions and Methodology for End-Use Forecasting-use forecasting of appliance energy use in the U.S. residential sector. Our analysis uses the modeling framework provided by the Appliance Model in the Residential End-Use Energy Planning System (REEPS), which

6

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

7

Residential sector end-use forecasting with EPRI-Reeps 2.1: Summary input assumptions and results  

SciTech Connect (OSTI)

This paper describes current and projected future energy use by end-use and fuel for the U.S. residential sector, and assesses which end-uses are growing most rapidly over time. The inputs to this forecast are based on a multi-year data compilation effort funded by the U.S. Department of Energy. We use the Electric Power Research Institute`s (EPRI`s) REEPS model, as reconfigured to reflect the latest end-use technology data. Residential primary energy use is expected to grow 0.3% per year between 1995 and 2010, while electricity demand is projected to grow at about 0.7% per year over this period. The number of households is expected to grow at about 0.8% per year, which implies that the overall primary energy intensity per household of the residential sector is declining, and the electricity intensity per household is remaining roughly constant over the forecast period. These relatively low growth rates are dependent on the assumed growth rate for miscellaneous electricity, which is the single largest contributor to demand growth in many recent forecasts.

Koomey, J.G.; Brown, R.E.; Richey, R. [and others

1995-12-01T23:59:59.000Z

8

Econometric model and futures markets commodity price forecasting  

E-Print Network [OSTI]

Versus CCll1rnercial Econometric M:ldels." Uni- versity ofWorking Paper No. 72 ECONOMETRIC ! 'econometric forecasts with the futures

Just, Richard E.; Rausser, Gordon C.

1979-01-01T23:59:59.000Z

9

Using Customers' Reported Forecasts to Predict Future Sales  

E-Print Network [OSTI]

Using Customers' Reported Forecasts to Predict Future Sales Nihat Altintas , Alan Montgomery , Michael Trick Tepper School of Business, Carnegie Mellon University, Pittsburgh, PA 15213. nihat

Gordon, Geoffrey J.

10

Current Status and Future Scenarios of Residential Building Energy Consumption in China  

SciTech Connect (OSTI)

China's rapid economic expansion has propelled it into the ranks of the largest energy consuming nation in the world, with energy demand growth continuing at a pace commensurate with its economic growth. Even though the rapid growth is largely attributable to heavy industry, this in turn is driven by rapid urbanization process, by construction materials and equipment produced for use in buildings. Residential energy is mostly used in urban areas, where rising incomes have allowed acquisition of home appliances, as well as increased use of heating in southern China. The urban population is expected to grow by 20 million every year, accompanied by construction of 2 billion square meters of buildings every year through 2020. Thus residential energy use is very likely to continue its very rapid growth. Understanding the underlying drivers of this growth helps to identify the key areas to analyze energy efficiency potential, appropriate policies to reduce energy use, as well as to understand future energy in the building sector. This paper provides a detailed, bottom-up analysis of residential building energy consumption in China using data from a wide variety of sources and a modeling effort that relies on a very detailed characterization of China's energy demand. It assesses the current energy situation with consideration of end use, intensity, and efficiency etc, and forecast the future outlook for the critical period extending to 2020, based on assumptions of likely patterns of economic activity, availability of energy services, technology improvement and energy intensities.

Zhou, Nan; Nishida, Masaru; Gao, Weijun

2008-12-01T23:59:59.000Z

11

Analysis of PG E's residential end-use metered data to improve electricity demand forecasts  

SciTech Connect (OSTI)

It is generally acknowledged that improvements to end-use load shape and peak demand forecasts for electricity are limited primarily by the absence of reliable end-use data. In this report we analyze recent end-use metered data collected by the Pacific Gas and Electric Company from more than 700 residential customers to develop new inputs for the load shape and peak demand electricity forecasting models used by the Pacific Gas and Electric Company and the California Energy Commission. Hourly load shapes are normalized to facilitate separate accounting (by the models) of annual energy use and the distribution of that energy use over the hours of the day. Cooling electricity consumption by central air-conditioning is represented analytically as a function of climate. Limited analysis of annual energy use, including unit energy consumption (UEC), and of the allocation of energy use to seasons and system peak days, is also presented.

Eto, J.H.; Moezzi, M.M.

1992-06-01T23:59:59.000Z

12

Electricity Bill Savings from Residential Photovoltaic Systems: Sensitivities to Changes in Future Electricity Market Conditions  

SciTech Connect (OSTI)

This scoping study investigates the impact of, and interactions among, three key sources of uncertainty in the future value of bill savings from customer-sited PV, focusing in particular on residential customers. These three sources of uncertainty are: changes to electricity market conditions that would affect retail electricity prices, changes to the types of retail rate structures available to residential customers with PV, and shifts away from standard net-metering toward other compensation mechanisms for residential PV. We investigate the impact of a range of electricity market scenarios on retail electricity prices and rate structures, and the resulting effects on the value of bill savings from PV. The scenarios include various levels of renewable and solar energy deployment, high and low natural gas prices, the possible introduction of carbon pricing, and greater or lesser reliance on utility-scale storage and demand response. We examine the bill savings from PV with time-invariant, flat residential retail rates, as well as with time-varying retail rates, including time-of-use (TOU) rates and real-time pricing (RTP). In addition, we explore a flat rate with increasing-block pricing (IBP). We evaluate the bill savings from PV with net metering, as currently allowed in many states, as well as scenarios with hourly netting, a partial form of net metering. This scoping study is the first known effort to evaluate these types of interactions in a reasonably comprehensive fashion, though by no means have we considered every possible change to electricity market conditions, retail rate structures, or PV compensation mechanisms. It focuses solely on the private value of bill savings for residential PV and does not seek to quantify the broader social or economic cost or value of solar electricity. Our analysis applies assumptions based loosely on Californias electricity market in a future year (2030); however, it is neither intended to forecast Californias future market, nor are our conclusions intended to have implications specific only to the California market. That said, some of the findings are unique to our underlying assumptions, as described further within the main body of the report, along with other key limitations.

Darghouth, Naim; Barbose, Galen; Wiser, Ryan

2013-01-09T23:59:59.000Z

13

ICEPT Working Paper Comparison of Fuel Cell and Combustion Micro-CHP under Future Residential  

E-Print Network [OSTI]

ICEPT Working Paper Comparison of Fuel Cell and Combustion Micro-CHP under Future Residential and Combustion Micro-CHP under Future Residential Energy Demand Scenarios A.D. Hawkes2 and M.A. Leach Centre heat and power (micro-CHP) - a technology to provide heat and some electricity to individual

14

Comparison of AEO 2008 Natural Gas Price Forecast to NYMEX Futures Prices  

E-Print Network [OSTI]

late January 2008, extend its natural gas futures strip anComparison of AEO 2008 Natural Gas Price Forecast to NYMEXs reference-case long-term natural gas price forecasts from

Bolinger, Mark

2008-01-01T23:59:59.000Z

15

RESIDENTIAL SECTOR END-USE FORECASTING WITH EPRI-REEPS 2.1: SUMMARY INPUT ASSUMPTIONS AND RESULTS  

E-Print Network [OSTI]

-76SF00098. #12;#12;i ABSTRACT This paper describes current and projected future energy use by end energy intensity per household of the residential sector is declining, and the electricity intensity per. Sanstad, and Leslie Shown Energy Analysis Program Energy and Environment Division Ernest Orlando Lawrence

16

Analysis of PG&E`s residential end-use metered data to improve electricity demand forecasts  

SciTech Connect (OSTI)

It is generally acknowledged that improvements to end-use load shape and peak demand forecasts for electricity are limited primarily by the absence of reliable end-use data. In this report we analyze recent end-use metered data collected by the Pacific Gas and Electric Company from more than 700 residential customers to develop new inputs for the load shape and peak demand electricity forecasting models used by the Pacific Gas and Electric Company and the California Energy Commission. Hourly load shapes are normalized to facilitate separate accounting (by the models) of annual energy use and the distribution of that energy use over the hours of the day. Cooling electricity consumption by central air-conditioning is represented analytically as a function of climate. Limited analysis of annual energy use, including unit energy consumption (UEC), and of the allocation of energy use to seasons and system peak days, is also presented.

Eto, J.H.; Moezzi, M.M.

1992-06-01T23:59:59.000Z

17

Abstract--Forecasting of future electricity demand is very important for decision making in power system operation and  

E-Print Network [OSTI]

Abstract--Forecasting of future electricity demand is very important for decision making in power industry, accurate forecasting of future electricity demand has become an important research area sector. This paper presents a novel approach for mid-term electricity load forecasting. It uses a hybrid

Ducatelle, Frederick

18

Improved forecasts of extreme weather events by future space borne Doppler wind lidar  

E-Print Network [OSTI]

sensitive areas. To answer these questions simulation experiments with state-of-the-art numerical weather prediction (NWP) models have proved great value to test future meteorological observing systems a prioriImproved forecasts of extreme weather events by future space borne Doppler wind lidar Gert

Marseille, Gert-Jan

19

Residential and Transport Energy Use in India: Past Trend and Future Outlook  

E-Print Network [OSTI]

16 Figure 10. Residential Primary Energy Use in 2000 and3. Fuel Consumption in the Residential Sector in 2005 in10 Table 6. Residential Activity

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

20

Current Status and Future Scenarios of Residential Building Energy Consumption in China  

E-Print Network [OSTI]

The China Residential Energy Consumption Survey, Human andof Residential Building Energy Consumption in China Nan ZhouResidential Building Energy Consumption in China Nan Zhou*,

Zhou, Nan

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasts future residential" 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

Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1  

E-Print Network [OSTI]

non-central residential home heating equipment (GAMA1992). (AFUE for residential home heating equipment, depending onManufactured Home Room Heating Market Shares". Lawrence

Johnson, F.X.

2010-01-01T23:59:59.000Z

22

Term Structure of Commodities Futures. Forecasting and Pricing. Marcos Escobar, Nicols Hernndez, Luis Seco  

E-Print Network [OSTI]

1 Term Structure of Commodities Futures. Forecasting and Pricing. Marcos Escobar, Nicolás Hernández that often exhibit sudden changes from backwardation into contango (such as energy, agricultural products generation purposes. It also provides the "risk neutral" processes needed for derivatives pricing, answering

Seco, Luis A.

23

Quantile Forecasting of Commodity Futures' Returns: Are Implied Volatility Factors Informative?  

E-Print Network [OSTI]

This study develops a multi-period log-return quantile forecasting procedure to evaluate the performance of eleven nearby commodity futures contracts (NCFC) using a sample of 897 daily price observations and at-the-money (ATM) put and call implied...

Dorta, Miguel

2012-07-16T23:59:59.000Z

24

Comparison of AEO 2010 Natural Gas Price Forecast to NYMEX Futures Prices  

SciTech Connect (OSTI)

On December 14, 2009, the reference-case projections from Annual Energy Outlook 2010 were posted on the Energy Information Administration's (EIA) web site. We at LBNL have, in the past, compared the EIA's reference-case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables can play in itigating such risk. As such, we were curious to see how the latest AEO reference-case gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings.

Bolinger, Mark A.; Wiser, Ryan H.

2010-01-04T23:59:59.000Z

25

Forecasting Model for Crude Oil Price Using Artificial Neural Networks and Commodity Futures Prices  

E-Print Network [OSTI]

This paper presents a model based on multilayer feedforward neural network to forecast crude oil spot price direction in the short-term, up to three days ahead. A great deal of attention was paid on finding the optimal ANN model structure. In addition, several methods of data pre-processing were tested. Our approach is to create a benchmark based on lagged value of pre-processed spot price, then add pre-processed futures prices for 1, 2, 3,and four months to maturity, one by one and also altogether. The results on the benchmark suggest that a dynamic model of 13 lags is the optimal to forecast spot price direction for the short-term. Further, the forecast accuracy of the direction of the market was 78%, 66%, and 53% for one, two, and three days in future conclusively. For all the experiments, that include futures data as an input, the results show that on the short-term, futures prices do hold new information on the spot price direction. The results obtained will generate comprehensive understanding of the cr...

Kulkarni, Siddhivinayak

2009-01-01T23:59:59.000Z

26

Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1  

E-Print Network [OSTI]

residential home heating equipment, depending on product class and size. Figure E.6b: Electric Heat Pump

Johnson, F.X.

2010-01-01T23:59:59.000Z

27

Future Air Conditioning Energy Consumption in Developing Countriesand what can be done about it: The Potential of Efficiency in theResidential Sector  

SciTech Connect (OSTI)

The dynamics of air conditioning are of particular interestto energy analysts, both because of the high energy consumption of thisproduct, but also its disproportionate impact on peak load. This paperaddresses the special role of this end use as a driver of residentialelectricity consumption in rapidly developing economies. Recent historyhas shown that air conditioner ownership can grow grows more rapidly thaneconomic growth in warm-climate countries. In 1990, less than a percentof urban Chinese households owned an air conditioner; by 2003 this numberrose to 62 percent. The evidence suggests a similar explosion of airconditioner use in many other countries is not far behind. Room airconditioner purchases in India are currently growing at 20 percent peryear, with about half of these purchases attributed to the residentialsector. This paper draws on two distinct methodological elements toassess future residential air conditioner 'business as usual' electricityconsumption by country/region and to consider specific alternative 'highefficiency' scenarios. The first component is an econometric ownershipand use model based on household income, climate and demographicparameters. The second combines ownership forecasts and stock accountingwith geographically specific efficiency scenarios within a uniqueanalysis framework (BUENAS) developed by LBNL. The efficiency scenariomodule considers current efficiency baselines, available technologies,and achievable timelines for development of market transformationprograms, such as minimum efficiency performance standards (MEPS) andlabeling programs. The result is a detailed set of consumption andemissions scenarios for residential air conditioning.

McNeil, Michael A.; Letschert, Virginie E.

2007-05-01T23:59:59.000Z

28

Reconstruction of the Past and Forecast of the Future European and British Ice Sheets and Associated SeaLevel Change  

E-Print Network [OSTI]

The aim of this project is to improve our understanding of the past European and British ice sheets as a basis for forecasting their future. The behaviour of these ice sheets is investigated by simulating them using a ...

Hagdorn, Magnus K M

29

Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results  

E-Print Network [OSTI]

End-Use Forecasting with EPRI-REEPS 2.1. Lawrence BerkeleyEnd-Use Forecasting with EPRI-REEPS 2.1. Lawrence BerkeleyPower Research Institute. EPRI Research Project Meier, Alan

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

30

Current Status and Future Scenarios of Residential Building Energy Consumption in China  

E-Print Network [OSTI]

LPG is a major energy source, while coal and electricity arethe total residential energy and coal is the dominant fuel.1 Residential Energy consumption by End-use Coal Renewables

Zhou, Nan

2010-01-01T23:59:59.000Z

31

Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1  

E-Print Network [OSTI]

Administration. April. EPRI. 1982. Residential End-UseInstitute. EA-2512. July. EPRI. 1990. REEPS 2.0 HVAC ModelInstitute. October 11. EPRI, Electric Power Research

Johnson, F.X.

2010-01-01T23:59:59.000Z

32

Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX FuturesPrices  

SciTech Connect (OSTI)

On December 5, 2006, the reference case projections from 'Annual Energy Outlook 2007' (AEO 2007) were posted on the Energy Information Administration's (EIA) web site. We at LBNL have, in the past, compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk (see, for example, http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf). As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past six years, forward natural gas contracts (with prices that can be locked in--e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past six years at least, levelized cost comparisons of fixed-price renewable generation with variable-price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are 'biased' in favor of gas-fired generation, presuming that long-term price stability is valued. In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2007. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past six AEO releases (AEO 2001-AEO 2006), we once again find that the AEO 2007 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. Specifically, the NYMEX-AEO 2007 premium is $0.73/MMBtu levelized over five years. In other words, on average, one would have had to pay $0.73/MMBtu more than the AEO 2007 reference case natural gas price forecast in order to lock in natural gas prices over the coming five years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation (or other forms of generation whose costs are not tied to the price of natural gas). Fixed-price generation (like certain forms of renewable generation) obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of five years.

Bolinger, Mark; Wiser, Ryan

2006-12-06T23:59:59.000Z

33

Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX FuturesPrices  

SciTech Connect (OSTI)

On December 12, 2005, the reference case projections from ''Annual Energy Outlook 2006'' (AEO 2006) were posted on the Energy Information Administration's (EIA) web site. We at LBNL have in the past compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk (see, for example, http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf). As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past five years, forward natural gas contracts (with prices that can be locked in--e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past five years at least, levelized cost comparisons of fixed-price renewable generation with variable price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are ''biased'' in favor of gas-fired generation, presuming that long-term price stability is valued. In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2006. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past five AEO releases (AEO 2001-AEO 2005), we once again find that the AEO 2006 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. In fact, the NYMEX-AEO 2006 reference case comparison yields by far the largest premium--$2.3/MMBtu levelized over five years--that we have seen over the last six years. In other words, on average, one would have had to pay $2.3/MMBtu more than the AEO 2006 reference case natural gas price forecast in order to lock in natural gas prices over the coming five years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation (or other forms of generation whose costs are not tied to the price of natural gas). Fixed-price generation (like certain forms of renewable generation) obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of five years.

Bolinger, Mark; Wiser, Ryan

2005-12-19T23:59:59.000Z

34

Comparison of AEO 2005 natural gas price forecast to NYMEX futures prices  

SciTech Connect (OSTI)

On December 9, the reference case projections from ''Annual Energy Outlook 2005 (AEO 2005)'' were posted on the Energy Information Administration's (EIA) web site. As some of you may be aware, we at LBNL have in the past compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk. As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past four years, forward natural gas contracts (e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past four years at least, levelized cost comparisons of fixed-price renewable generation with variable price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are ''biased'' in favor of gas-fired generation (presuming that long-term price stability is valued). In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2005. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or, more recently (and briefly), http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past four AEO releases (AEO 2001-AE0 2004), we once again find that the AEO 2005 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. In fact, the NYMEXAEO 2005 reference case comparison yields by far the largest premium--$1.11/MMBtu levelized over six years--that we have seen over the last five years. In other words, on average, one would have to pay $1.11/MMBtu more than the AEO 2005 reference case natural gas price forecast in order to lock in natural gas prices over the coming six years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation. Fixed-price renewables obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of six years.

Bolinger, Mark; Wiser, Ryan

2004-12-13T23:59:59.000Z

35

Comparison of AEO 2005 natural gas price forecast to NYMEX futures prices  

E-Print Network [OSTI]

revisions to the EIAs natural gas price forecasts in AEOsolely on the AEO 2005 natural gas price forecasts willComparison of AEO 2005 Natural Gas Price Forecast to NYMEX

Bolinger, Mark; Wiser, Ryan

2004-01-01T23:59:59.000Z

36

Comparison of AEO 2010 Natural Gas Price Forecast to NYMEX Futures Prices  

E-Print Network [OSTI]

to estimate the base-case natural gas price forecast, but toComparison of AEO 2010 Natural Gas Price Forecast to NYMEXs reference-case long-term natural gas price forecasts from

Bolinger, Mark A.

2010-01-01T23:59:59.000Z

37

Forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models  

E-Print Network [OSTI]

Forecasting the conditional volatility of oil spot and futures prices with structural breaks of oil spot and futures prices using three GARCH-type models, i.e., linear GARCH, GARCH with structural that oil price fluctuations influence economic activity and financial sector (e.g., Jones and Kaul, 1996

Paris-Sud XI, Université de

38

Forecasting future oil production in Norway and the UK: a general improved methodology  

E-Print Network [OSTI]

We present a new Monte-Carlo methodology to forecast the crude oil production of Norway and the U.K. based on a two-step process, (i) the nonlinear extrapolation of the current/past performances of individual oil fields and (ii) a stochastic model of the frequency of future oil field discoveries. Compared with the standard methodology that tends to underestimate remaining oil reserves, our method gives a better description of future oil production, as validated by our back-tests starting in 2008. Specifically, we predict remaining reserves extractable until 2030 to be 188 +/- 10 million barrels for Norway and 98 +/- 10 million barrels for the UK, which are respectively 45% and 66% above the predictions using the standard methodology.

Fievet, Lucas; Cauwels, Peter; Sornette, Didier

2014-01-01T23:59:59.000Z

39

Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results  

E-Print Network [OSTI]

Consumption and Expenditures 1992. Energy Information Administration, U.S.92). April. US DOE. 1995c. Residential Energy ConsumptionConsumption and Expenditures 1993. EIA, Energy Information Administration, U.S.

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

40

Residential and Transport Energy Use in India: Past Trend and Future Outlook  

E-Print Network [OSTI]

a direct impact on rural energy consumption. Residential16 Figure 11. 2020 Rural and Urban Energy Consumptionareas. Figure 11. 2020 Rural and Urban Energy Consumption

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasts future residential" 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

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST Volume 2: Electricity Demand.Oglesby Executive Director #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product estimates. Margaret Sheridan provided the residential forecast. Mitch Tian prepared the peak demand

42

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST Volume 2: Electricity Demand Robert P. Oglesby Executive Director #12;i ACKNOWLEDGEMENTS The demand forecast is the combined provided estimates for demand response program impacts and contributed to the residential forecast. Mitch

43

Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX Futures Prices  

E-Print Network [OSTI]

Comparison of AEO 2007 Natural Gas Price Forecast to NYMEXs reference case long-term natural gas price forecasts fromAEO series to contemporaneous natural gas prices that can be

Bolinger, Mark; Wiser, Ryan

2006-01-01T23:59:59.000Z

44

Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX Futures Prices  

E-Print Network [OSTI]

Comparison of AEO 2006 Natural Gas Price Forecast to NYMEXs reference case long-term natural gas price forecasts fromAEO series to contemporaneous natural gas prices that can be

Bolinger, Mark; Wiser, Ryan

2005-01-01T23:59:59.000Z

45

Comparison of AEO 2009 Natural Gas Price Forecast to NYMEX Futures Prices  

E-Print Network [OSTI]

Comparison of AEO 2009 Natural Gas Price Forecast to NYMEXs reference-case long-term natural gas price forecasts fromAEO series to contemporaneous natural gas prices that can be

Bolinger, Mark

2009-01-01T23:59:59.000Z

46

Models for residential- and commercial-sector energy-conservation analysis: applications, limitations, and future potential. Final report  

SciTech Connect (OSTI)

This report reviews four of the major models used by the Department of Energy (DOE) for energy conservation analyses in the residential- and commercial-building sectors. The objective is to provide a critical analysis of how these models can serve as tools for DOE and its Conservation Policy Office in evaluating and quantifying their policy and program requirements. For this, the study brings together information on the models' analytical structure and their strengths and limitations in policy applications these are then employed to assess the most-effective role for each model in addressing future issues of buildings energy-conservation policy and analysis. The four models covered are: Oak Ridge Residential Energy Model; Micro Analysis of Transfers to Households/Comprehensive Human Resources Data System (MATH/CHRDS) Model; Oak Ridge Commercial Energy Model; and Brookhaven Buildings Energy Conservation Optimization Model (BECOM).

Cole, Henry E.; Fullen, Robert E.

1980-09-01T23:59:59.000Z

47

Comparison of AEO 2008 Natural Gas Price Forecast to NYMEX Futures Prices  

SciTech Connect (OSTI)

On December 12, 2007, the reference-case projections from Annual Energy Outlook 2008 (AEO 2008) were posted on the Energy Information Administration's (EIA) web site. We at LBNL have, in the past, compared the EIA's reference-case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables can play in mitigating such risk. As such, we were curious to see how the latest AEO reference-case gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. Note that this memo pertains only to natural gas fuel price risk (i.e., the risk that natural gas prices might differ over the life of a gas-fired generation asset from what was expected when the decision to build the gas-fired unit was made). We do not take into consideration any of the other distinct attributes of gas-fired and renewable generation, such as dispatchability (or lack thereof) or environmental externalities. A comprehensive comparison of different resource types--which is well beyond the scope of this memo--would need to account for differences in all such attributes, including fuel price risk. Furthermore, our analysis focuses solely on natural-gas-fired generation (as opposed to coal-fired generation, for example), for several reasons: (1) price volatility has been more of a concern for natural gas than for other fuels used to generate power; (2) for environmental and other reasons, natural gas has, in recent years, been the fuel of choice among power plant developers (though its appeal has diminished somewhat as prices have increased); and (3) natural gas-fired generators often set the market clearing price in competitive wholesale power markets throughout the United States. That said, a more-complete analysis of how renewables mitigate fuel price risk would also need to consider coal and other fuel prices. Finally, we caution readers about drawing inferences or conclusions based solely on this memo in isolation: to place the information contained herein within its proper context, we strongly encourage readers interested in this issue to read through our previous, more-detailed studies, available at http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf.

Bolinger, Mark A; Bolinger, Mark; Wiser, Ryan

2008-01-07T23:59:59.000Z

48

Comparison of AEO 2009 Natural Gas Price Forecast to NYMEX Futures Prices  

SciTech Connect (OSTI)

On December 17, 2008, the reference-case projections from Annual Energy Outlook 2009 (AEO 2009) were posted on the Energy Information Administration's (EIA) web site. We at LBNL have, in the past, compared the EIA's reference-case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables can play in mitigating such risk. As such, we were curious to see how the latest AEO reference-case gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. Note that this memo pertains only to natural gas fuel price risk (i.e., the risk that natural gas prices might differ over the life of a gas-fired generation asset from what was expected when the decision to build the gas-fired unit was made). We do not take into consideration any of the other distinct attributes of gas-fired and renewable generation, such as dispatchability (or lack thereof), differences in capital costs and O&M expenses, or environmental externalities. A comprehensive comparison of different resource types--which is well beyond the scope of this memo--would need to account for differences in all such attributes, including fuel price risk. Furthermore, our analysis focuses solely on natural-gas-fired generation (as opposed to coal-fired or nuclear generation, for example), for several reasons: (1) price volatility has been more of a concern for natural gas than for other fuels used to generate power; (2) for environmental and other reasons, natural gas has, in recent years, been the fuel of choice among power plant developers; and (3) natural gas-fired generators often set the market clearing price in competitive wholesale power markets throughout the United States. That said, a more-complete analysis of how renewables mitigate fuel price risk would also need to consider coal, uranium, and other fuel prices. Finally, we caution readers about drawing inferences or conclusions based solely on this memo in isolation: to place the information contained herein within its proper context, we strongly encourage readers interested in this issue to read through our previous, more-detailed studies, available at http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf.

Bolinger, Mark; Wiser, Ryan

2009-01-28T23:59:59.000Z

49

Predicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study  

SciTech Connect (OSTI)

Whole building input models for energy simulation programs are frequently created in order to evaluate specific energy savings potentials. They are also often utilized to maximize cost-effective retrofits for existing buildings as well as to estimate the impact of policy changes toward meeting energy savings goals. Traditional energy modeling suffers from several factors, including the large number of inputs required to characterize the building, the specificity required to accurately model building materials and components, simplifying assumptions made by underlying simulation algorithms, and the gap between the as-designed and as-built building. Prior works have attempted to mitigate these concerns by using sensor-based machine learning approaches to model energy consumption. However, a majority of these prior works focus only on commercial buildings. The works that focus on modeling residential buildings primarily predict monthly electrical consumption, while commercial models predict hourly consumption. This means there is not a clear indicator of which techniques best model residential consumption, since these methods are only evaluated using low-resolution data. We address this issue by testing seven different machine learning algorithms on a unique residential data set, which contains 140 different sensors measurements, collected every 15 minutes. In addition, we validate each learner's correctness on the ASHRAE Great Energy Prediction Shootout, using the original competition metrics. Our validation results confirm existing conclusions that Neural Network-based methods perform best on commercial buildings. However, the results from testing our residential data set show that Feed Forward Neural Networks, Support Vector Regression (SVR), and Linear Regression methods perform poorly, and that Hierarchical Mixture of Experts (HME) with Least Squares Support Vector Machines (LS-SVM) performs best - a technique not previously applied to this domain.

Edwards, Richard E [ORNL; New, Joshua Ryan [ORNL; Parker, Lynne Edwards [ORNL

2012-01-01T23:59:59.000Z

50

Residential and Transport Energy Use in India: Past Trend and Future Outlook  

SciTech Connect (OSTI)

The main contribution of this report is to characterize the underlying residential and transport sector end use energy consumption in India. Each sector was analyzed in detail. End-use sector-level information regarding adoption of particular technologies was used as a key input in a bottom-up modeling approach. The report looks at energy used over the period 1990 to 2005 and develops a baseline scenario to 2020. Moreover, the intent of this report is also to highlight available sources of data in India for the residential and transport sectors. The analysis as performed in this way reveals several interesting features of energy use in India. In the residential sector, an analysis of patterns of energy use and particular end uses shows that biomass (wood), which has traditionally been the main source of primary energy used in households, will stabilize in absolute terms. Meanwhile, due to the forces of urbanization and increased use of commercial fuels, the relative significance of biomass will be greatly diminished by 2020. At the same time, per household residential electricity consumption will likely quadruple in the 20 years between 2000 and 2020. In fact, primary electricity use will increase more rapidly than any other major fuel -- even more than oil, in spite of the fact that transport is the most rapidly growing sector. The growth in electricity demand implies that chronic outages are to be expected unless drastic improvements are made both to the efficiency of the power infrastructure and to electric end uses and industrial processes. In the transport sector, the rapid growth in personal vehicle sales indicates strong energy growth in that area. Energy use by cars is expected to grow at an annual growth rate of 11percent, increasing demand for oil considerably. In addition, oil consumption used for freight transport will also continue to increase .

de la Rue du Can, Stephane; Letschert, Virginie; McNeil, Michael; Zhou, Nan; Sathaye, Jayant

2009-03-31T23:59:59.000Z

51

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

SciTech Connect (OSTI)

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

United States. Bonneville Power Administration.

1994-02-01T23:59:59.000Z

52

Forecasting the Standard & Poor's 500 stock index futures price: interest rates, dividend yields, and cointegration  

E-Print Network [OSTI]

forward price series is constructed using interest rate and dividend yield data. Out-of-sample forecasts from error correction models are compared to those from vector autoregressions (VAR) fit to levels and VARs fit to first differences. This comparison...

Fritsch, Roger Erwin

1997-01-01T23:59:59.000Z

53

Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1  

E-Print Network [OSTI]

A H A M . 1991. Room Air Conditioner Data. Association of7. FUTURE WORK 7.1 Room Air Conditioners 7.2. Common heatingShipments of Unitary Air Conditioners and Heat Pumps. Air-

Johnson, F.X.

2010-01-01T23:59:59.000Z

54

Residential and Transport Energy Use in India: Past Trend and Future Outlook  

E-Print Network [OSTI]

GDP per capita Transport Future outlook Drivers of Transport Energyenergy demand per passenger-km. Figure 20. Car Ownership and GDP

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

55

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY DEMAND 2014­2024 FINAL FORECAST Volume 1: Statewide Electricity Demand in this report. #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product of the hard work to the residential forecast. Mitch Tian prepared the peak demand forecast. Ravinderpal Vaid provided the projections

56

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022  

E-Print Network [OSTI]

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 2: Electricity Demand by Utility ACKNOWLEDGEMENTS The staff demand forecast is the combined product of the hard work and expertise of numerous the residential forecast. Mitch Tian prepared the peak demand forecast. Ravinderpal Vaid provided the projections

57

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022  

E-Print Network [OSTI]

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 1: Statewide Electricity Demand in this report. #12;i ACKNOWLEDGEMENTS The staff demand forecast is the combined product of the hard work Sheridan provided the residential forecast. Mitch Tian prepared the peak demand forecast. Ravinderpal Vaid

58

Sixth Northwest Conservation and Electric Power Plan Appendix B: Economic Forecast  

E-Print Network [OSTI]

Sixth Northwest Conservation and Electric Power Plan Appendix B: Economic Forecast Role of the Economic Forecast ................................................................................................. 2 Economic Drivers of Residential Demand

59

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network [OSTI]

that forecast US residential energy consumption by end-use.new unit energy consumption in the U.S. DOE appliancethe Residential Energy Consumption Survey, or RECS (US DOE

Wenzel, T.P.

2010-01-01T23:59:59.000Z

60

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network [OSTI]

Update on Petroleum, Natural Gas, Heating Oil and Gasoline.of the Market for Natural Gas Futures. Energy Journal 16 (Modeling Forum. 2003. Natural Gas, Fuel Diversity and North

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasts future residential" 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

Agricultural commodity price forecasting accuracy: futures markets versus commercial econometric models  

E-Print Network [OSTI]

versus commercial econometric models Gordon C. RausserMARKETS VERSUS COM4ERCIAL ECONOMETRIC IDDELS by Gordon C.Futures Markets, snd Econometric Models Deeember, 19'7'6,

Rausser, Gordon C.; Just, Richard E.

1979-01-01T23:59:59.000Z

62

Application of neural networking in live cattle futures market: an approach to price-forecasting  

E-Print Network [OSTI]

. For this reason, cattle futures contracts are not traded on a cash- and-cany basis. The futures prices are foimed through human decision-making based on available information about supply and demand and past conditions on the market (Kofi, 1973). The beef...'s expiration date for cattle is usually around the 20th in the delivery month. A trader who does not want to deliver or receive will liquidate his position before the expiration date. Traders can obtain information of trading from publications...

Chou, Chien-Ju

1993-01-01T23:59:59.000Z

63

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST Volume 2: Electricity Demand The demand forecast is the combined product of the hard work and expertise of numerous California Energy for demand response program impacts and contributed to the residential forecast. Mitch Tian prepared

64

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY DEMAND 2014­2024 REVISED FORECAST Volume 1: Statewide Electricity Demand in this report. #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product of the hard work provided estimates for demand response program impacts and contributed to the residential forecast. Mitch

65

Forecast constraints on cosmic strings from future CMB, pulsar timing and gravitational wave direct detection experiments  

E-Print Network [OSTI]

We study future observational constraints on cosmic string parameters from various types of next-generation experiments: direct detection of gravitational waves (GWs), pulsar timing array, and the cosmic microwave background (CMB). We consider both GW burst and stochastic GW background searches by ground- and space-based interferometers as well as GW background detection in pulsar timing experiments. We also consider cosmic string contributions to the CMB temperature and polarization anisotropies. These different types of observations offer independent probes of cosmic strings and may enable us to investigate cosmic string properties if the signature is detected. In this paper, we evaluate the power of future experiments to constrain cosmic string parameters, such as the string tension Gmu, the initial loop size alpha, and the reconnection probability p, by performing Fisher information matrix calculations. We find that combining the information from the different types of observations breaks parameter degeneracies and provides more stringent constraints on the parameters. We also find future space-borne interferometers independently provide a highly precise determination of the parameters.

Sachiko Kuroyanagi; Koichi Miyamoto; Toyokazu Sekiguchi; Keitaro Takahashi; Joseph Silk

2013-02-19T23:59:59.000Z

66

RESIDENTIAL EXCHANGE  

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

establishes the right of Pacific Northwest electric utilities to participate in the Residential Exchange Program that provides wholesale power cost benefits for residential and...

67

sttesuhcassa RESIDENTIAL  

E-Print Network [OSTI]

University Apartments To Amherst Center RON TNASAELPHT TS CENTRAL RESIDENTIAL AREA To Tillson Farm RESIDENTIAL AREA Lorden Field ATHLETIC FIELDS To Telecom, UMass Outreach & UMass Extension at 101 University Drive NORTHEAST RESIDENTIAL AREA ORCHARD HILL RESIDENTIAL AREA Chabad House HAIGIS MALL Newman Center

Schweik, Charles M.

68

sttesuhcassa RESIDENTIAL  

E-Print Network [OSTI]

Gordon To Amherst Center RON TNASAELPHT TS CENTRAL RESIDENTIAL AREA To Tillson Farm & Intermediate ORCHARD HILL DR. Track & Field ACO SDT KKG SK ADP IGU ZBT BUTTERFIELDTERRACE DZ SOUTHWEST RESIDENTIAL AREA NORTHEAST RESIDENTIAL AREA ORCHARD HILL RESIDENTIAL AREA Chabad House HAIGIS MALL Newman Center Textbook

Mountziaris, T. J.

69

Orphan drugs : future viability of current forecasting models, in light of impending changes to influential market factors  

E-Print Network [OSTI]

Interviews were conducted to establish a baseline for how orphan drug forecasting is currently undertaken by financial market and industry analysts with the intention of understanding the variables typically accounted for ...

Gottlieb, Joshua

2011-01-01T23:59:59.000Z

70

Forecast Correlation Coefficient Matrix of Stock Returns in Portfolio Analysis  

E-Print Network [OSTI]

Unadjusted Forecasts . . . . . . . . . . . . . . . .Forecasts . . . . . . . . . . . . . . . . . . . . . . . . . .Unadjusted Forecasts . . . . . . . . . . . . . . . . . . .

Zhao, Feng

2013-01-01T23:59:59.000Z

71

U.S. Regional Demand Forecasts Using NEMS and GIS  

SciTech Connect (OSTI)

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

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

2005-07-01T23:59:59.000Z

72

Forecast Technical Document Forecast Types  

E-Print Network [OSTI]

Forecast Technical Document Forecast Types A document describing how different forecast types are implemented in the 2011 Production Forecast system. Tom Jenkins Robert Matthews Ewan Mackie Lesley Halsall #12;PF2011 ­ Forecast Types Background Different `types' of forecast are possible for a specified area

73

Residential Mail Procedures Residential Mail Services  

E-Print Network [OSTI]

Residential Mail Procedures Residential Mail Services 23 Owens Hall Blacksburg, VA 24061 Phone.mailservices.vt.edu #12;Residential Mail Procedures Table of Contents General information.................................................................................8 #12;Residential Mail Procedures The following procedures have been establishes by the University

Buehrer, R. Michael

74

Future Air Conditioning Energy Consumption in Developing Countries and what can be done about it: The Potential of Efficiency in the Residential Sector  

E-Print Network [OSTI]

2004) Survey on Electricity Consumption Characteristics ofof residential electricity consumption in rapidly developingbusiness as usual electricity consumption by country/region

McNeil, Michael A.; Letschert, Virginie E.

2008-01-01T23:59:59.000Z

75

Energy data sourcebook for the US residential sector  

SciTech Connect (OSTI)

Analysts assessing policies and programs to improve energy efficiency in the residential sector require disparate input data from a variety of sources. This sourcebook, which updates a previous report, compiles these input data into a single location. The data provided include information on end-use unit energy consumption (UEC) values of appliances and equipment efficiency; historical and current appliance and equipment market shares; appliances and equipment efficiency and sales trends; appliance and equipment efficiency standards; cost vs. efficiency data for appliances and equipment; product lifetime estimates; thermal shell characteristics of buildings; heating and cooling loads; shell measure cost data for new and retrofit buildings; baseline housing stocks; forecasts of housing starts; and forecasts of energy prices and other economic drivers. This report is the essential sourcebook for policy analysts interested in residential sector energy use. The report can be downloaded from the Web at http://enduse.lbl. gov/Projects/RED.html. Future updates to the report, errata, and related links, will also be posted at this address.

Wenzel, T.P.; Koomey, J.G.; Sanchez, M. [and others

1997-09-01T23:59:59.000Z

76

Management Forecast Quality and Capital Investment Decisions  

E-Print Network [OSTI]

Corporate investment decisions require managers to forecast expected future cash flows from potential investments. Although these forecasts are a critical component of successful investing, they are not directly observable ...

Goodman, Theodore H.

77

The potential for electricity efficiency improvements in the US Residential Sector  

SciTech Connect (OSTI)

This study represents the most elaborate assessment to date of US residential sector electricity improvements. Previous analyses have estimated the conservation potential for other countries, states, or individual utility service territories. As concern over greenhouse gas emissions has increased, interest has grown in estimates of conservation potential for the US residential sector as a whole. The earliest detailed estimate of US conservation potential is now out of date, while more recent estimates are less detailed than is desirable for engineering-economic estimates of the costs of reducing carbon emissions. In this paper, we first describe the methodology for creating supply curves of conserved energy, and then illustrate the subtleties of assessing the technical conservation potential. Next we present the data and forecasts used in this assessment, including costs, baseline thermal characteristics, energy use, and energy savings. Finally, we present the main results and conclusions from the analysis, and discuss future work. 102 refs., 7 figs., 16 tabs.

Koomey, J.G.; Atkinson, C.; Meier, A.; McMahon, J.E.; Boghosian, S.; Atkinson, B.; Turiel, I.; Levine, M.D.; Nordman, B.; Chan, P.

1991-07-01T23:59:59.000Z

78

Evaluation of evolving residential electricity tariffs  

SciTech Connect (OSTI)

Residential customers in California's Pacific Gas and Electric (PG&E) territory have seen several electricity rate structure changes in the past decade. This poster: examines the history of the residential pricing structure and key milestones; summarizes and analyzes the usage between 2006 and 2009 for different baseline/climate areas; discusses the residential electricity Smart Meter roll out; and compares sample bills for customers in two climates under the current pricing structure and also the future time of use (TOU) structure.

Lai, Judy; DeForest, Nicholas; Kiliccote, Sila; Stadler, Michael; Marnay, Chris; Donadee, Jon

2011-05-15T23:59:59.000Z

79

Residential Buildings  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998throughThousand CubicWashington Natural GasResidential Residential

80

Future Power Systems 20: The Smart Enterprise, its Objective...  

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

0: The Smart Enterprise, its Objective and Forecasting. Future Power Systems 20: The Smart Enterprise, its Objective and Forecasting. More Documents & Publications Future Power...

Note: This page contains sample records for the topic "forecasts future residential" 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

Future Air Conditioning Energy Consumption in Developing Countries and what can be done about it: The Potential of Efficiency in the Residential Sector  

E-Print Network [OSTI]

an air conditioner for the first time, or by replacements ofair conditioner lifetime. Each retirement generates another replacementreplacements. Step 1 is described in detail in the section called Forecasting Air Conditioner

McNeil, Michael A.; Letschert, Virginie E.

2008-01-01T23:59:59.000Z

82

Future Air Conditioning Energy Consumption in Developing Countries and what can be done about it: The Potential of Efficiency in the Residential Sector  

E-Print Network [OSTI]

an air conditioner for the first time, or by replacements ofair conditioner lifetime. Each retirement generates another replacementand replacements. Step 1 is described in detail in the section called Forecasting Air Conditioner

McNeil, Michael A.; Letschert, Virginie E.

2008-01-01T23:59:59.000Z

83

Draft Fourth Northwest Conservation and Electric Power Plan, Appendix D ECONOMIC AND DEMAND FORECASTS  

E-Print Network [OSTI]

AND DEMAND FORECASTS INTRODUCTION AND SUMMARY Role of the Demand Forecast A demand forecast of at least 20 years is one of the explicit requirements of the Northwest Power Act. A demand forecast is, of course analysis. Because the future is inherently uncertain, the Council forecasts a range of future demand levels

84

Chapter 6, Residential Lighting Evaluation Protocol: The Uniform...  

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

STAR lighting fixtures. More recently, programs are introducing solid-state light-emitting diode (LED) lamps. The future of savings claims from residential lighting programs is...

85

Residential Services Headlease residents  

E-Print Network [OSTI]

Residential Services Headlease residents handbook 2013-2014 #12;Map of Brighton inside front cover packs Rent 5 Residential Advisor (RA) network 6 Senior residential advisors Residential Student Support Contents Contents Brighton 1 #12;Welcome Congratulations on securing your place at Sussex. Residential

Sussex, University of

86

Strategic safety stocks in supply chains with evolving forecasts  

E-Print Network [OSTI]

we have an evolving demand forecast. Under assumptions about the forecasts, the demand process their supply chain operations based on a forecast of future demand over some planning horizon. Furthermore stock inventory in a supply chain that is subject to a dynamic, evolving demand forecast. In particular

Graves, Stephen C.

87

Residential Solar Valuation Rates  

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

Residential Solar Valuation Rates Karl R. Rbago Rbago Energy LLC 1 The Ideal Residential Solar Tariff Fair to the utility and non-solar customers Fair compensation to...

88

Energy for 500 Million Homes: Drivers and Outlook for Residential Energy Consumption in China  

SciTech Connect (OSTI)

China's rapid economic expansion has propelled it to the rank of the largest energy consuming nation in the world, with energy demand growth continuing at a pace commensurate with its economic growth. The urban population is expected to grow by 20 million every year, accompanied by construction of 2 billion square meters of buildings every year through 2020. Thus residential energy use is very likely to continue its very rapid growth. Understanding the underlying drivers of this growth helps to identify the key areas to analyze energy efficiency potential, appropriate policies to reduce energy use, as well as to understand future energy in the building sector. This paper provides a detailed, bottom-up analysis of residential building energy consumption in China using data from a wide variety of sources and a modelling effort that relies on a very detailed characterization of China's energy demand. It assesses the current energy situation with consideration of end use, intensity, and efficiency etc, and forecast the future outlook for the critical period extending to 2020, based on assumptions of likely patterns of economic activity, availability of energy services, technology improvement and energy intensities. From this analysis, we can conclude that Chinese residential energy consumption will more than double by 2020, from 6.6 EJ in 2000 to 15.9 EJ in 2020. This increase will be driven primarily by urbanization, in combination with increases in living standards. In the urban and higher income Chinese households of the future, most major appliances will be common, and heated and cooled areas will grow on average. These shifts will offset the relatively modest efficiency gains expected according to current government plans and policies already in place. Therefore, levelling and reduction of growth in residential energy demand in China will require a new set of more aggressive efficiency policies.

Zhou, Nan; McNeil, Michael A.; Levine, Mark

2009-06-01T23:59:59.000Z

89

State-of-the art of freight forecast modeling: lessons learned and the road ahead  

E-Print Network [OSTI]

of-the art of freight forecast modeling: lessons learned andof goods as well as to forecast the expected future truckused for the short-term forecasts of freight volumes on

Chow, Joseph Y.; Yang, Choon Heon; Regan, Amelia C.

2010-01-01T23:59:59.000Z

90

Solar Forecasting  

Broader source: Energy.gov [DOE]

On December 7, 2012,DOE announced $8 million to fund two solar projects that are helping utilities and grid operators better forecast when, where, and how much solar power will be produced at U.S....

91

Residential Learning University Housing  

E-Print Network [OSTI]

Residential Learning & University Housing Handbook 2008 - 2009 A Guide for Residential Living on the Campus of Rowan University #12;Welcome to Residential Learning & University Housing! The primary purpose of the Office of Residential Life & University Housing is to assist and support students in the pursuit

Rusu, Adrian

92

Residential Colleges NORTHWESTERN  

E-Print Network [OSTI]

Residential Colleges NORTHWESTERN #12;#12;Dear Northwestern Student: I hope you will review residential colleges. A residential college is a place where you can grow emotionally and intellectually, get and residential college fellows. More than a third of the first-year students living on campus choose to live

Shull, Kenneth R.

93

RESIDENTIAL COLLEGES NORTHWESTERN  

E-Print Network [OSTI]

c RESIDENTIAL COLLEGES NORTHWESTERN #12;#12;Dear Northwestern Student: I hope you will review residential colleges. A residential college is a place where you can grow emotionally and intellectually, get and residential college fellows. More than a third of the first-year students living on campus choose to live

Apkarian, A. Vania

94

Forecast Technical Document Restocking in the Forecast  

E-Print Network [OSTI]

Forecast Technical Document Restocking in the Forecast A document describing how restocking of felled areas is handled in the 2011 Production Forecast. Tom Jenkins Robert Matthews Ewan Mackie Lesley in the forecast Background During the period of a production forecast it is assumed that, as forest sub

95

Air-Conditioning Effect Estimation for Mid-Term Forecasts of Tunisian Electricity Consumption  

E-Print Network [OSTI]

Air-Conditioning Effect Estimation for Mid-Term Forecasts of Tunisian Electricity Consumption Tunisian electricity consumption (the residential sector represents 68% of this class of consumers). Nevertheless, with the Tunisian electricity consumption context, models elaborating which take account weather

Boyer, Edmond

96

Planning for an energy-efficient future: The experience with implementing energy conservation programs for new residential and commercial buildings: Volume 1  

SciTech Connect (OSTI)

This report is one of a series of program experience reports that seek to synthesize current information from both published and unpublished sources to help utilities, state regulatory commissions, and others to identify, design, and manage demand-side programs. This report evaluates the experience with implementing programs promoting energy efficiency in new residential and commercial construction. This investigation was guided by our perspective on how programs address the barriers to widespread adoption of energy-efficient design and better end-use technologies in new buildings. We considered four types of barriers: lack of information, high initial costs, degree of technological development, and perceived risk. We developed a typology that reflects different approaches to overcome these barriers to energy-efficient construction. 234 refs., 5 tabs.

Vine, E.; Harris, J.

1988-09-01T23:59:59.000Z

97

Inverse Modelling to Forecast Enclosure Fire Dynamics  

E-Print Network [OSTI]

. This thesis proposes and studies a method to use measurements of the real event in order to steer and accelerate fire simulations. This technology aims at providing forecasts of the fire development with a positive lead time, i.e. the forecast of future events...

Jahn, Wolfram

98

Residential Energy Audits  

E-Print Network [OSTI]

A series of events coupled with the last five years experience performing Residential Conservation Service (RCS) audits have resulted in renewed efforts by utilities to evaluate the role of residential energy audits. There are utilities where...

Brown, W.

1985-01-01T23:59:59.000Z

99

> BUREAU HOME > AUSTRALIA > QUEENSLAND > FORECASTS FORECAST IMPROVEMENTS  

E-Print Network [OSTI]

> BUREAU HOME > AUSTRALIA > QUEENSLAND > FORECASTS BRISBANE FORECAST IMPROVEMENTS The Bureau of Meteorology is progressively upgrading its forecast system to provide more detailed forecasts across Australia and Sunshine Coast. FURTHER INFORMATION : www.bom.gov.au/NexGenFWS © Commonwealth of Australia, 2013 Links

Greenslade, Diana

100

Guide for Benchmarking Residential Energy Efficiency Program...  

Energy Savers [EERE]

Guide for Benchmarking Residential Energy Efficiency Program Progress Guide for Benchmarking Residential Energy Efficiency Program Progress Guide for Benchmarking Residential...

Note: This page contains sample records for the topic "forecasts future residential" 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

Better Buildings Residential Program Solution Center Demonstration...  

Energy Savers [EERE]

Better Buildings Residential Program Solution Center Demonstration Better Buildings Residential Program Solution Center Demonstration Better Buildings Residential Program Solution...

102

Presentation: Better Buildings Residential Program Solution Center...  

Energy Savers [EERE]

Presentation: Better Buildings Residential Program Solution Center Presentation: Better Buildings Residential Program Solution Center Presentation: Better Buildings Residential...

103

Membership Criteria: Better Buildings Residential Network | Department...  

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

Membership Criteria: Better Buildings Residential Network Membership Criteria: Better Buildings Residential Network Membership Criteria: Better Buildings Residential Network...

104

Housing and Residential Life  

E-Print Network [OSTI]

1 Housing and Residential Life Guidebook 2014-2015 LivingCampus #12;2 fau.edu/housing Welcome! The Housing & Residential Life staff is excited that you've moved home! Florida Atlantic University residence halls and apartments are your home for the 2014-2015 school year. The Housing & Residential Life staff

Fernandez, Eduardo

105

PROPOSED RESIDENTIAL ALTERNATIVE CALCULATION  

E-Print Network [OSTI]

PROPOSED RESIDENTIAL ALTERNATIVE CALCULATION MANUAL (ACM) APPROVAL METHOD for the 2013 2012 CEC400201200715DAY #12;201308 Residential ACM Approval Manual 2-2 1. Overview Minimum Modeling Capabilities 1. Overview This Manual explains the requirements for approval of residential Alternative

106

AREA COORDINATOR RESIDENTIAL EDUCATION  

E-Print Network [OSTI]

AREA COORDINATOR RESIDENTIAL EDUCATION VANDERBILT UNIVERSITY, NASHVILLE, TENNESSEE The Office of Housing and Residential Education at Vanderbilt University is seeking applicants for an Area Coordinator. The Area Coordinator is responsible for assisting in the management and operation of a residential area

Bordenstein, Seth

107

Residential Wood Residential wood combustion (RWC) is  

E-Print Network [OSTI]

Residential Wood Combustion Residential wood combustion (RWC) is increasing in Europe because PM2.5. Furthermore, other combustion- related sources of OA in Europe may need to be reassessed. Will it affect global OA emission estimates? Combustion of biofuels is globally one of the major OA sources

108

Earnings forecast bias -a statistical analysis Franois Dossou  

E-Print Network [OSTI]

Earnings forecast bias - a statistical analysis François Dossou Sandrine Lardic** Karine Michalon' earnings forecasts is an important aspect of research for different reasons: Many empirical studies employ analysts' consensus forecasts as a proxy for the market's expectations of future earnings in order

Paris-Sud XI, Université de

109

Weighted Parametric Operational Hydrology Forecasting Thomas E. Croley II1  

E-Print Network [OSTI]

1 Weighted Parametric Operational Hydrology Forecasting Thomas E. Croley II1 1 Great Lakes forecasts in operational hydrology builds a sample of possibilities for the future, of climate series from-parametric method can be extended into a new weighted parametric hydrological forecasting technique to allow

110

Solid low-level waste forecasting guide  

SciTech Connect (OSTI)

Guidance for forecasting solid low-level waste (LLW) on a site-wide basis is described in this document. Forecasting is defined as an approach for collecting information about future waste receipts. The forecasting approach discussed in this document is based solely on hanford`s experience within the last six years. Hanford`s forecasting technique is not a statistical forecast based upon past receipts. Due to waste generator mission changes, startup of new facilities, and waste generator uncertainties, statistical methods have proven to be inadequate for the site. It is recommended that an approach similar to Hanford`s annual forecasting strategy be implemented at each US Department of Energy (DOE) installation to ensure that forecast data are collected in a consistent manner across the DOE complex. Hanford`s forecasting strategy consists of a forecast cycle that can take 12 to 30 months to complete. The duration of the cycle depends on the number of LLW generators and staff experience; however, the duration has been reduced with each new cycle. Several uncertainties are associated with collecting data about future waste receipts. Volume, shipping schedule, and characterization data are often reported as estimates with some level of uncertainty. At Hanford, several methods have been implemented to capture the level of uncertainty. Collection of a maximum and minimum volume range has been implemented as well as questionnaires to assess the relative certainty in the requested data.

Templeton, K.J.; Dirks, L.L.

1995-03-01T23:59:59.000Z

111

DEPARTMENT OF RESIDENTIAL LIFE Residential Life Staff Manual.  

E-Print Network [OSTI]

1 Appendix A DEPARTMENT OF RESIDENTIAL LIFE Residential Life Staff Manual. Residential Life Program Listing #12;2 MISSOURI S&T RESIDENTIAL LIFE DEPARTMENT Staff Resource Manual 2010--2012 Department of Residential Life Mission: To create educational environments emphasizing learning and development. Service

Missouri-Rolla, University of

112

Forecasted Opportunities  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityFieldMinds" |beamtheFor yourForForecasted

113

Solar forecasting review  

E-Print Network [OSTI]

and forecasting of solar radiation data: a review,forecasting of solar- radiation data, Solar Energy, vol.sequences of global solar radiation data for isolated sites:

Inman, Richard Headen

2012-01-01T23:59:59.000Z

114

> BUREAU HOME > AUSTRALIA > QUEENSLAND > FORECASTS DISTRICT FORECASTS  

E-Print Network [OSTI]

> BUREAU HOME > AUSTRALIA > QUEENSLAND > FORECASTS DISTRICT FORECASTS IMPROVEMENTS FOR QUEENSLAND across Australia From October 2013, new and improved district forecasts will be introduced in Queensland Protection times FURTHER INFORMATION : www.bom.gov.au/NexGenFWS © Commonwealth of Australia, 2013 PTO> Wind

Greenslade, Diana

115

RESIDENTIAL SERVICES STUDENT CHARTER Introduction  

E-Print Network [OSTI]

RESIDENTIAL SERVICES STUDENT CHARTER Introduction This Charter sets out the standards of provision. Residential Services are committed to encouraging diversity and inclusiveness within University residences via the Residential Services Annual Report and the internet. Consultation This Charter was developed

Oakley, Jeremy

116

CONSULTANT REPORT 2009 CALIFORNIA RESIDENTIAL  

E-Print Network [OSTI]

CONSULTANT REPORT 2009 CALIFORNIA RESIDENTIAL APPLIANCE SATURATION STUDY funded and administered a Residential Appliance Saturation Study that serves as an update to the 2003 electric and 10 natural gas residential enduses and appliance saturations for households

117

Essays on residential desegregation  

E-Print Network [OSTI]

Many ethnically diverse countries have policies that encourage integration across ethnic groups. This dissertation investigates the impact and welfare implications of a residential desegregation policy in Singapore, the ...

Wong, Maisy

2008-01-01T23:59:59.000Z

118

Residential Solar Rights  

Broader source: Energy.gov [DOE]

In 2007, New Jersey enacted legislation preventing homeowners associations from prohibiting the installation of solar collectors on certain types of residential properties. The term "solar...

119

Residential Rewards Program  

Broader source: Energy.gov [DOE]

The Focus on Energy Program offers a Residential Rewards Program to eligible residents for purchasing and installing furnaces, boilers, heat pumps, air sealing, attic insulation, and water heaters....

120

SATELLITE BASED SHORT-TERM FORECASTING OF SOLAR IRRADANCE  

E-Print Network [OSTI]

SATELLITE BASED SHORT-TERM FORECASTING OF SOLAR IRRADANCE - COMPARISON OF METHODS AND ERROR Forecasting of solar irradiance will become a major issue in the future integration of solar energy resources method was used to derive motion vector fields from two consecutive images. The future image

Heinemann, Detlev

Note: This page contains sample records for the topic "forecasts future residential" 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

Citizens Gas- Residential Efficiency Rebates  

Broader source: Energy.gov [DOE]

Citizens Gas of Indiana offers rebates to its residential customers for the installation of several types of efficient natural gas appliances. Rebates are generally available for residential homes...

122

Efficiency Maine Residential Lighting Program  

Broader source: Energy.gov [DOE]

Efficiency Maine's Residential Lighting Program works directly with retailers and manufacturers to encourage residential customers to purchase energy-efficient lighting. Rebate amounts average $1...

123

Residential Retrofit Program Design Guide  

Broader source: Energy.gov [DOE]

This Residential Retrofit Program Design Guide focuses on the key elements and design characteristics of building and maintaining a successful residential retrofit program.

124

Bryant Residential Tutorship BRYANT RESIDENTIAL TUTORSHIP REGULATIONS FOR 2013  

E-Print Network [OSTI]

Bryant Residential Tutorship 1 BRYANT RESIDENTIAL TUTORSHIP REGULATIONS FOR 2013 BACKGROUND The D, Bryant Hall has provided a supportive residential environment for first-year students and has also in the Waikato region continues in the form of the Bryant Residential Tutorships. These Tutorships were offered

Waikato, University of

125

Using Wikipedia to forecast diseases  

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

Using Wikipedia to forecast diseases Using Wikipedia to forecast diseases Scientists can now monitor and forecast diseases around the globe more effectively by analyzing views of...

126

Landholders, Residential Land Conversion, and Market Signals  

E-Print Network [OSTI]

465 Margulis: Landholders, Residential Land Conversion, and1983. An Analysis of Residential Developer Location FactorsHow Regulation Affects New Residential Development. New

Margulis, Harry L.

2006-01-01T23:59:59.000Z

127

RESIDENTIAL THERMOSTATS: COMFORT CONTROLS IN CALIFORNIA HOMES  

E-Print Network [OSTI]

Report on Applicability of Residential Ventilation StandardsCharacterization of Residential New Construction PracticesJ - Load Calculation for Residential Winter and Summer Air

Meier, Alan K.

2008-01-01T23:59:59.000Z

128

Fact Sheet: Better Buildings Residential Network  

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

Fact Sheet BETTER BUILDINGS RESIDENTIAL NETWORK Learn more at betterbuildings.energy.govbbrn What Is the Residential Network? The Better Buildings Residential Network connects...

129

Fact Sheet: Better Buildings Residential Network | Department...  

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

Fact Sheet: Better Buildings Residential Network Fact Sheet: Better Buildings Residential Network Fact Sheet: Better Buildings Residential Network, increasing the number of...

130

Residential Retrofit Program Design Guide Overview Transcript...  

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

Residential Retrofit Program Design Guide Overview Transcript.doc Residential Retrofit Program Design Guide Overview Transcript.doc Residential Retrofit Program Design Guide...

131

Residential Wind Power  

E-Print Network [OSTI]

This research study will explore the use of residential wind power and associated engineering and environmental issues. There is various wind power generating devices available to the consumer. The study will discuss the dependencies of human...

Willis, Gary

2011-12-16T23:59:59.000Z

132

Residential Energy Disclosure (Hawaii)  

Broader source: Energy.gov [DOE]

A residential property owner is required to disclose electricity costs for the most recent three-month period in which the property was occupied as a condition of selling it. No proof or copies of...

133

Residential Solar Tax Credit  

Broader source: Energy.gov [DOE]

Enacted in August 1997, this personal income tax credit originally applied to expenditures on solar-electric (PV) equipment used on residential property. The credit, equal to 25% percent of the...

134

Forecast Technical Document Volume Increment  

E-Print Network [OSTI]

Forecast Technical Document Volume Increment Forecasts A document describing how volume increment is handled in the 2011 Production Forecast. Tom Jenkins Robert Matthews Ewan Mackie Lesley Halsall #12;PF2011 ­ Volume increment forecasts Background A volume increment forecast is a fundamental output of the forecast

135

Nambe Pueblo Water Budget and Forecasting model.  

SciTech Connect (OSTI)

This report documents The Nambe Pueblo Water Budget and Water Forecasting model. The model has been constructed using Powersim Studio (PS), a software package designed to investigate complex systems where flows and accumulations are central to the system. Here PS has been used as a platform for modeling various aspects of Nambe Pueblo's current and future water use. The model contains three major components, the Water Forecast Component, Irrigation Scheduling Component, and the Reservoir Model Component. In each of the components, the user can change variables to investigate the impacts of water management scenarios on future water use. The Water Forecast Component includes forecasting for industrial, commercial, and livestock use. Domestic demand is also forecasted based on user specified current population, population growth rates, and per capita water consumption. Irrigation efficiencies are quantified in the Irrigated Agriculture component using critical information concerning diversion rates, acreages, ditch dimensions and seepage rates. Results from this section are used in the Water Demand Forecast, Irrigation Scheduling, and the Reservoir Model components. The Reservoir Component contains two sections, (1) Storage and Inflow Accumulations by Categories and (2) Release, Diversion and Shortages. Results from both sections are derived from the calibrated Nambe Reservoir model where historic, pre-dam or above dam USGS stream flow data is fed into the model and releases are calculated.

Brainard, James Robert

2009-10-01T23:59:59.000Z

136

National Residential Efficiency Measures Database Webinar Slides...  

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

National Residential Efficiency Measures Database Webinar Slides National Residential Efficiency Measures Database Webinar Slides Presentation slides for the Building Technologies...

137

Building America Webinar: National Residential Efficiency Measures...  

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

National Residential Efficiency Measures Database Unveiled Building America Webinar: National Residential Efficiency Measures Database Unveiled This webinar presented an overview...

138

Better Buildings Residential Program Solution Center Demonstration...  

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

Program Solution Center Demonstration Webinar Transcript Better Buildings Residential Program Solution Center Demonstration Webinar Transcript The Better Buildings Residential...

139

Conference Agenda: Residential Energy Efficiency Solutions 2012...  

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

Conference Agenda: Residential Energy Efficiency Solutions 2012 Conference Agenda: Residential Energy Efficiency Solutions 2012 Presents conference agenda including a general...

140

Behavioral Assumptions Underlying California Residential Sector...  

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

Behavioral Assumptions Underlying California Residential Sector Energy Efficiency Programs (2009 CIEE Report) Behavioral Assumptions Underlying California Residential Sector Energy...

Note: This page contains sample records for the topic "forecasts future residential" 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

Better Buildings Residential Program Solution Center Demonstration...  

Energy Savers [EERE]

Better Buildings Residential Program Solution Center Demonstration Webinar Better Buildings Residential Program Solution Center Demonstration Webinar Demonstration webinar slides...

142

Please cite this article in press as: R.E. Edwards, et al., Predicting future hourly residential electrical consumption: A machine learning case study, Energy Buildings (2012), doi:10.1016/j.enbuild.2012.03.010  

E-Print Network [OSTI]

, how- ever, whether these techniques can translate to residential buildings, since the energy usage and commercial buildings consitute the largest sec- tor of U.S. primary energy consumption at 40% [1]. Building electrical consumption: A machine learning case study, Energy Buildings (2012), doi:10.1016/j.enbuild.2012

Parker, Lynne E.

143

Distribution Based Data Filtering for Financial Time Series Forecasting  

E-Print Network [OSTI]

recent past. In this paper, we address the challenge of forecasting the behavior of time series using@unimelb.edu.au Abstract. Changes in the distribution of financial time series, particularly stock market prices, can of stock prices, which aims to forecast the future values of the price of a stock, in order to obtain

Bailey, James

144

RESIDENTIAL PROGRAM FOR LANGUAGE LEARNING  

E-Print Network [OSTI]

RESIDENTIAL PROGRAM FOR LANGUAGE LEARNING Live on-campus in 2014-15 and participate in a unique as part of a residential community in Arroyo Vista! Open to all undergraduate students with 2-3 years

Loudon, Catherine

145

Forecasting the underlying potential governing climatic time series  

E-Print Network [OSTI]

We introduce a technique of time series analysis, potential forecasting, which is based on dynamical propagation of the probability density of time series. We employ polynomial coefficients of the orthogonal approximation of the empirical probability distribution and extrapolate them in order to forecast the future probability distribution of data. The method is tested on artificial data, used for hindcasting observed climate data, and then applied to forecast Arctic sea-ice time series. The proposed methodology completes a framework for `potential analysis' of climatic tipping points which altogether serves anticipating, detecting and forecasting climate transitions and bifurcations using several independent techniques of time series analysis.

Livina, V N; Mudelsee, M; Lenton, T M

2012-01-01T23:59:59.000Z

146

Sample Residential Program Term Sheet  

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

Goal DRAFT U.S. DOE Sample Residential Program Term Sheet - DRAFT Introduction is seeking to develop an energy...

147

ENSEMBLE RE-FORECASTING : IMPROVING MEDIUM-RANGE FORECAST SKILL  

E-Print Network [OSTI]

5.5 ENSEMBLE RE-FORECASTING : IMPROVING MEDIUM-RANGE FORECAST SKILL USING RETROSPECTIVE FORECASTS, Colorado 1. INTRODUCTION Improving weather forecasts is a primary goal of the U.S. National Oceanic predictions has been to improve the accuracy of the numerical forecast models. Much effort has been expended

Hamill, Tom

148

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

E-Print Network [OSTI]

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

Gray, William

149

Structuring and integrating human knowledge in demand forecasting: a judgmental adjustment approach  

E-Print Network [OSTI]

1 Structuring and integrating human knowledge in demand forecasting: a judgmental adjustment.cheikhrouhou@epfl.ch Abstract Demand forecasting consists of using data of the past demand to obtain an approximation of the future demand. Mathematical approaches can lead to reliable forecasts in deterministic context through

Paris-Sud XI, Université de

150

A collaborative demand forecasting process with event-based fuzzy judgments  

E-Print Network [OSTI]

1 A collaborative demand forecasting process with event-based fuzzy judgments Naoufel Cheikhrouhoua to reliable demand forecast in some environments by extrapolating regular patterns in time-series. However for demand planning purposes. Since forecasters have partial knowledge of the context and of future events

Boyer, Edmond

151

Questions Asked during the Financing Residential Energy Efficiency...  

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

Residential Energy Efficiency with Carbon Offsets Transcript Financing Residential Energy Efficiency with Carbon Offsets SERC Photovoltaics for Residential Buildings Webinar...

152

Residential & Business Services Director's Office  

E-Print Network [OSTI]

Residential & Business Services Director's Office Butts Wynd, North Street, St Andrews, Fife, KY16 by students for students are an integral part of student life and intrinsic to the student residential the residential environment. However, experience tells us that events require careful planning and organisation

Brierley, Andrew

153

STATE OF CALIFORNIA RESIDENTIAL LIGHTING  

E-Print Network [OSTI]

STATE OF CALIFORNIA RESIDENTIAL LIGHTING CEC-CF-6R-LTG-01 (Revised 08/09) CALIFORNIA ENERGY COMMISSION INSTALLATION CERTIFICATE CF-6R-LTG-01 Residential Lighting (Page 1 of 6) Site Address: Enforcement Agency: Permit Number: 2008 Residential Compliance Forms August 2009 1. Kitchen Lighting Does project

154

Permanent Home Number: Residential Number  

E-Print Network [OSTI]

Permanent Home Number: Residential Number: Mobile: Please update my contact details. Signature nominated correspondence address as indicated below. Permanent Home Adress Residential Address Other Address (Must not be a PO Box) Residential Address (Must not be a PO Box) Other - Postal/Optional Address

Viglas, Anastasios

155

Price forecasting for U.S. cattle feeders: which technique to apply?  

E-Print Network [OSTI]

0. 04 0. 10 0. 08 0. 06 0. 06 0. 06 sAdvantaged forecast as it was compiled a calendar annual forecast with six months of actual data. All forecasts assume a January Benchmark. 27 Table 4 is the one-quarter ahead forecast comparison which... 12. 30 MAPE 0. 05 0. 05 0. 04 0. 04 0. 04 "All forecasts assume a July benchmark. 28 Table 5 is the two-quarter ahead forecast comparison which is for the second half of the calendar year (i. e. , July - December). The Futures Market...

Hicks, Geoff Cody

2012-06-07T23:59:59.000Z

156

Adaptive sampling and forecasting with mobile sensor networks  

E-Print Network [OSTI]

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

Choi, Han-Lim

2009-01-01T23:59:59.000Z

157

Pacific Adaptation Strategy Assistance Program Dynamical Seasonal Forecasting  

E-Print Network [OSTI]

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

Lim, Eun-pa

158

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

159

High SEER Residential AC  

SciTech Connect (OSTI)

This article discusses the new offerings of residential air conditioning systems with very high Seasonal Energy Efficiency Ratio (SEER) ratings, the two regional areas dictating operations standards ("hot, humid" and "hot, dry"), and the potential energy savings these new systems can provide. The article concludes with a brief review of current market potential.

Hastbacka, Mildred; Dieckmann, John; Brodrick, James

2012-07-31T23:59:59.000Z

160

STORM WATER Residential  

E-Print Network [OSTI]

STORM WATER QUALITY HOTLINE UCSC Residential Car Washing http THAT MAY CAUSE ENVIRONMENTAL HARM TO THE STORM WATER QUALITY HOTLINE: (831) 459-2553. LIKE US ON FACEBOOK AT UCSC STORM WATER MANAGEMENT PROGRAM! DID YOU KNOW? PRACTICAL SOLUTIONS > USE A COMMERCIAL CAR WASH

California at Santa Cruz, University of

Note: This page contains sample records for the topic "forecasts future residential" 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

Residential Mechanical Precooling  

SciTech Connect (OSTI)

This research conducted by the Alliance for Residential Building Innovation team evaluated mechanical air conditioner pre-cooling strategies in homes throughout the United States. EnergyPlus modeling evaluated two homes with different performance characteristics in seven climates. Results are applicable to new construction homes and most existing homes built in the last 10 years, as well as fairly efficient retrofitted homes.

German, A.; Hoeschele, M.

2014-12-01T23:59:59.000Z

162

Residential Furnace Blower Performance  

E-Print Network [OSTI]

conditioner performance1 , standby power, as well as igniter and combustion air blower power. Energy savings for a typical three-and-a-half ton air conditioner with typical California ducts are 45 kWh. Peak demand combinations of blowers and residential furnaces were tested for air moving performance. The laboratory test

163

CONSULTANT REPORT DEMAND FORECAST EXPERT  

E-Print Network [OSTI]

CONSULTANT REPORT DEMAND FORECAST EXPERT PANEL INITIAL forecast, end-use demand modeling, econometric modeling, hybrid demand modeling, energyMahon, Carl Linvill 2012. Demand Forecast Expert Panel Initial Assessment. California Energy

164

Residential Electricity Demand in China -- Can Efficiency Reverse the Growth?  

SciTech Connect (OSTI)

The time when energy-related carbon emissions come overwhelmingly from developed countries is coming to a close. China has already overtaken the United States as the world's leading emitter of greenhouse gas emissions. The economic growth that China has experienced is not expected to slow down significantly in the long term, which implies continued massive growth in energy demand. This paper draws on the extensive expertise from the China Energy Group at LBNL on forecasting energy consumption in China, but adds to it by exploring the dynamics of demand growth for electricity in the residential sector -- and the realistic potential for coping with it through efficiency. This paper forecasts ownership growth of each product using econometric modeling, in combination with historical trends in China. The products considered (refrigerators, air conditioners, fans, washing machines, lighting, standby power, space heaters, and water heating) account for 90percent of household electricity consumption in China. Using this method, we determine the trend and dynamics of demandgrowth and its dependence on macroeconomic drivers at a level of detail not accessible by models of a more aggregate nature. In addition, we present scenarios for reducing residential consumption through efficiency measures defined at the product level. The research takes advantage of an analytical framework developed by LBNL (BUENAS) which integrates end use technology parameters into demand forecasting and stock accounting to produce detailed efficiency scenarios, thus allowing for a technologically realistic assessment of efficiency opportunities specifically in the Chinese context.

Letschert, Virginie; McNeil, Michael A.; Zhou, Nan

2009-05-18T23:59:59.000Z

165

Negotiating future climates for public policy: a critical assessment of the development of  

E-Print Network [OSTI]

) or of seasonal forecasting (a few months): Earth system models aim to simulate future climatic evolution over

Hulme, Mike

166

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

167

Rainfall-River Forecasting  

E-Print Network [OSTI]

;2Rainfall-River Forecasting Joint Summit II NOAA Integrated Water Forecasting Program · Minimize losses due management and enhance America's coastal assets · Expand information for managing America's Water Resources, Precipitation and Water Quality Observations · USACE Reservoir Operation Information, Streamflow, Snowpack

US Army Corps of Engineers

168

APPLICATION OF PROBABILISTIC FORECASTS: DECISION MAKING WITH FORECAST UNCERTAINTY  

E-Print Network [OSTI]

1 APPLICATION OF PROBABILISTIC FORECASTS: DECISION MAKING WITH FORECAST UNCERTAINTY Rick Katz.isse.ucar.edu/HP_rick/dmuu.pdf #12;2 QUOTES ON USE OF PROBABILITY FORECASTS · Lao Tzu (Chinese Philosopher) "He who knows does and Value of Probability Forecasts (4) Cost-Loss Decision-Making Model (5) Simulation Example (6) Economic

Katz, Richard

169

PowerChoice Residential Customer Response to TOU Rates  

E-Print Network [OSTI]

Savings from Residential Energy Demand Feedback Devices. residential energy consumption, load shifting, consumption feedback

Peters, Jane S.

2010-01-01T23:59:59.000Z

170

Residential commissioning to assess envelope and HVAC system performance  

SciTech Connect (OSTI)

Houses do not perform optimally or even as many codes and forecasts predict. For example, Walker et al. (1998a) found large variations in thermal distribution system efficiency, as much as a factor of two even between side-by-side houses with the same system design and installation crew. This and other studies (e.g., Jump et al. 1996) indicate that duct leakage testing and sealing can readily achieve a 25 to 30% reduction in installed cooling capacity and energy consumption. As another example, consider that the building industry has recognized for at least 20 years the substantial impact that envelope airtightness has on thermal loads, energy use, comfort, and indoor air quality. However, Walker et al. (1998a) found 50% variances in airtightness for houses with the same design and construction crews, within the same subdivision. A substantial reason for these problems is that few houses are now built or retrofitted using formal design procedures, most are field assembled from a large number of components, and there is no consistent process to identify problems or to correct them. Solving the problems requires field performance evaluations of houses using appropriate and agreed upon procedures. Many procedural elements already exist in a fragmented environment; some are ready now to be integrated into a new process called residential commissioning (Wray et al. 2000). For example, California's Title 24 energy code already provides some commissioning elements for evaluating the energy performance of new houses. A house consists of components and systems that need to be commissioned, such as building envelopes, air distribution systems, cooling equipment, heat pumps, combustion appliances, controls, and other electrical appliances. For simplicity and practicality, these components and systems are usually evaluated individually, but we need to bear in mind that many of them interact. Therefore, commissioning must not only identify the energy and non-energy benefits associated with improving the performance of a component, it must also indicate how individual components interact in the complete building system. For this paper, we limit our discussion to diagnostics in areas of particular concern with significant interactions: envelope and HVAC systems. These areas include insulation quality, windows, airtightness, envelope moisture, fan and duct system airflows, duct leakage, cooling equipment charge, and combustion appliance backdrafting with spillage. The remainder of this paper first describes what residential commissioning is, its characteristic elements, and how one might structure its process. Subsequent sections describe a consolidated set of practical diagnostics that the building industry can use now. Where possible, we also discuss the accuracy and usability of these diagnostics, based on recent laboratory work and field studies. We conclude by describing areas in need of research and development, such as practical field diagnostics for envelope thermal conductance and combustion safety. There are several potential benefits for builders, consumers, code officials, utilities, and energy planners of commissioning houses using a consistent set of validated methods. Builders and/or commissioning agents will be able to optimize system performance and reduce consumer costs associated with building energy use. Consumers will be more likely to get what they paid for and builders can show they delivered what was expected. Code officials will be better able to enforce existing and future energy codes. As energy reduction measures are more effectively incorporated into the housing stock, utilities and energy planners will benefit through greater confidence in predicting demand and greater assurance that demand reductions will actually occur. Performance improvements will also reduce emissions from electricity generating plants and residential combustion equipment. Research to characterize these benefits is underway.

Wray, Craig P.; Sherman, Max H.

2001-08-31T23:59:59.000Z

171

Residential Absorption Water Heater  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l LPROJECTS IN RENEWABLE ENERGY FOR HIGH SCHOOL| DepartmentResidential

172

Residential Buildings Integration (RBI)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l LPROJECTS IN RENEWABLE ENERGY FOR HIGH SCHOOL| DepartmentResidential|

173

Detailed residential electric determination  

SciTech Connect (OSTI)

Data on residential loads has been collected from four residences in real time. The data, measured at 5-second intervals for 53 days of continuous operation, were statistically characterized. An algorithm was developed and incorporated into the modeling code SOLCEL. Performance simulations with SOLCEL using these data as well as previous data collected over longer time intervals indicate that no significant errors in system value are introduced through the use of long-term average data.

Not Available

1984-06-01T23:59:59.000Z

174

Lehigh University Office of Residential Services  

E-Print Network [OSTI]

Lehigh University Office of Residential Services Resident Check-Out Form Students are expected and furniture of all personal property. Residential Services is not responsible for any personal items left and residential administration staff for billing purposes. Signature

Napier, Terrence

175

Vanderbilt University Office of Housing & Residential Education  

E-Print Network [OSTI]

Vanderbilt University Office of Housing & Residential Education RESIDENTADVISERRECRUITMENT2015 Adviser (RA) is a paraprofessional student staff member for the Office of Housing and Residential Coordinators, Head Residents, and faculty to create a premiere residential experience where students can learn

Bordenstein, Seth

176

2009 CALIFORNIA RESIDENTIAL APPLIANCE SATURATION STUDY  

E-Print Network [OSTI]

2009 CALIFORNIA RESIDENTIAL APPLIANCE SATURATION STUDY Volume 1 and administered a Residential Appliance Saturation Study that serves as an update to the 2003 RASS, with the same residential enduses and appliance saturations for households. These consumption estimates were developed

177

2009 CALIFORNIA RESIDENTIAL APPLIANCE SATURATION STUDY  

E-Print Network [OSTI]

2009 CALIFORNIA RESIDENTIAL APPLIANCE SATURATION STUDY Executive and administered a Residential Appliance Saturation Study that serves as an update to the 2003 RASS, with the same residential enduses and appliance saturations for households. These consumption estimates were developed

178

Your Resource Guide to WVU's Residential  

E-Print Network [OSTI]

Your Resource Guide to WVU's Residential Learning Communities Eyes&'Eers 2014­ 2015 Academic throughout the summer. welcomeweek.wvu.edu Residential Education Programming Opportunities Volleypalooza Scarehouse Rich's Fright Farm (Haunted House) Kennywood Fright Night Residential Education Octoberfest

Mohaghegh, Shahab

179

http://warren.ucsd.edu 1 Residential  

E-Print Network [OSTI]

http://warren.ucsd.edu 1 Warren Resources Residential Life Student Conduct University Resources Off and Employment 10 Section II: Residential Life Introduction 11 Residential Life Policies 13 Section III: Student

Tsien, Roger Y.

180

RESIDENTIAL BURGLARY DATE: November 25, 2014  

E-Print Network [OSTI]

RESIDENTIAL BURGLARY DATE: November 25, 2014 INCIDENT / LOCATION: Residential Burglary in Vista Del 22, 2014, at approximately 11:07 pm, the UCI Police Department received a report of a residential

Rose, Michael R.

Note: This page contains sample records for the topic "forecasts future residential" 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

Demand Forecast INTRODUCTION AND SUMMARY  

E-Print Network [OSTI]

Demand Forecast INTRODUCTION AND SUMMARY A 20-year forecast of electricity demand is a required of any forecast of electricity demand and developing ways to reduce the risk of planning errors that could arise from this and other uncertainties in the planning process. Electricity demand is forecast

182

Unitil- Residential Energy Efficiency Programs  

Broader source: Energy.gov [DOE]

Unitil offers New Hampshire residential customers a number of programs to encourage more energy efficient homes. The Energy Star Appliance Program provides rebates for clothes washers, air...

183

NYSEG (Gas)- Residential Efficiency Program  

Broader source: Energy.gov [DOE]

NYSEG is offering residential natural gas customers rebates for installing energy efficient equipment. Customers can complete one rebate application for multiple pieces of equipment as long as...

184

SMUD- Residential Solar Loan Program  

Broader source: Energy.gov [DOE]

The Sacramento Municipal Utility District's (SMUD) Residential Loan Program provides 100% financing to customers who install solar water heating systems. All solar water heating systems must meet...

185

Evaluation of evolving residential electricity tariffs  

E-Print Network [OSTI]

residential electricity tariffs Judy Lai, Nicholas DeForest,residential electricity tariffs Judy Lai Senior Researchfrom the current 5-tiered tariff to time variable pricing,

Lai, Judy

2011-01-01T23:59:59.000Z

186

Tacoma Power- Residential Weatherization Rebate Program  

Broader source: Energy.gov [DOE]

Tacoma Power helps residential customers increase the energy efficiency of homes through the utility's residential weatherization program. Weatherization upgrades to windows are eligible for an...

187

Building America Residential Energy Efficiency Research Planning...  

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

Research Planning meeting in October 2011, held in Washington, D.C. Residential Energy Efficiency Planning Meeting Summary Report More Documents & Publications Residential Energy...

188

Residential Energy Efficiency Customer Service Best Practices...  

Energy Savers [EERE]

Residential Energy Efficiency Customer Service Best Practices Peer Exchange Call Residential Energy Efficiency Customer Service Best Practices Peer Exchange Call January 22, 2015...

189

Building America Residential Energy Efficiency Technical Update...  

Energy Savers [EERE]

Residential Energy Efficiency Technical Update Meeting: August 2011 Building America Residential Energy Efficiency Technical Update Meeting: August 2011 On this page, you may link...

190

Residential Tax Credits Boost Maryland Geothermal Business |...  

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

Residential Tax Credits Boost Maryland Geothermal Business Residential Tax Credits Boost Maryland Geothermal Business June 18, 2010 - 12:09pm Addthis Paul Lester Communications...

191

Better Buildings Residential Network Case Study: Partnerships...  

Energy Savers [EERE]

Case Study: Partnerships Better Buildings Residential Network Case Study: Partnerships Better Buildings Residential Network Case Study: Partnerships, from the U.S. Department of...

192

RESIDENTIAL WEATHERIZATION SPECIFICATIONS August 30, 2011  

E-Print Network [OSTI]

RESIDENTIAL WEATHERIZATION SPECIFICATIONS August 30, 2011 Index to Sections Section Page I. GENERAL............................................................................................35 #12;1 I. GENERAL SPECIFICATIONS 1. These specifications apply to existing residential (retro

193

Better Buildings Residential Network Orientation Peer Exchange...  

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

Better Buildings Residential Network Orientation Peer Exchange Webinar Better Buildings Residential Network Orientation Peer Exchange Webinar September 11, 2014 7:00PM to 8:3...

194

Building America Residential Buildings Energy Efficiency Meeting...  

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

Residential Buildings Energy Efficiency Meeting: July 2010 Building America Residential Buildings Energy Efficiency Meeting: July 2010 On this page, you may link to the summary...

195

Quality Assurance for Residential Retrofit Programs | Department...  

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

Quality Assurance for Residential Retrofit Programs Quality Assurance for Residential Retrofit Programs Blue version of the EERE PowerPoint template, for use with PowerPoint 2007....

196

Residential Waste Do not mix in  

E-Print Network [OSTI]

Residential Waste Do not mix in Newspaper Cardboard Paper ScrapsMagazines and Miscellaneous Paper Experiment-Relatedand ResidentialWastebyType #12;

Nakamura, Iku

197

Comparison of Wind Power and Load Forecasting Error Distributions: Preprint  

SciTech Connect (OSTI)

The introduction of large amounts of variable and uncertain power sources, such as wind power, into the electricity grid presents a number of challenges for system operations. One issue involves the uncertainty associated with scheduling power that wind will supply in future timeframes. However, this is not an entirely new challenge; load is also variable and uncertain, and is strongly influenced by weather patterns. In this work we make a comparison between the day-ahead forecasting errors encountered in wind power forecasting and load forecasting. The study examines the distribution of errors from operational forecasting systems in two different Independent System Operator (ISO) regions for both wind power and load forecasts at the day-ahead timeframe. The day-ahead timescale is critical in power system operations because it serves the unit commitment function for slow-starting conventional generators.

Hodge, B. M.; Florita, A.; Orwig, K.; Lew, D.; Milligan, M.

2012-07-01T23:59:59.000Z

198

Probabilistic manpower forecasting  

E-Print Network [OSTI]

PROBABILISTIC MANPOWER FORECASTING A Thesis JAMES FITZHUGH KOONCE Submitted to the Graduate College of the Texas ASSAM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May, 1966 Major Subject...: Computer Science and Statistics PROBABILISTIC MANPOWER FORECASTING A Thesis By JAMES FITZHUGH KOONCE Submitted to the Graduate College of the Texas A@M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May...

Koonce, James Fitzhugh

1966-01-01T23:59:59.000Z

199

Bachelor Thesis Future sustainable terraced houses  

E-Print Network [OSTI]

Cardiff University August 4, 2014 #12;Colophon Title: Future sustainable residential buildings in Cardiff a first introduction about sustainability in the building sector. Collecting data about the future climateBachelor Thesis Future sustainable terraced houses in Cardiff Karin Ernst University of Twente

Vellekoop, Michel

200

Multivariate Forecast Evaluation And Rationality Testing  

E-Print Network [OSTI]

10621088. MULTIVARIATE FORECASTS Chaudhuri, P. (1996): OnKingdom. MULTIVARIATE FORECASTS Kirchgssner, G. , and U. K.2005): Estimation and Testing of Forecast Rationality under

Komunjer, Ivana; OWYANG, MICHAEL

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasts future residential" 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

National Residential Efficiency Measures Database  

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

The National Residential Efficiency Measures Database is a publicly available, centralized resource of residential building retrofit measures and costs for the U.S. building industry. With support from the U.S. Department of Energy, NREL developed this tool to help users determine the most cost-effective retrofit measures for improving energy efficiency of existing homes. Software developers who require residential retrofit performance and cost data for applications that evaluate residential efficiency measures are the primary audience for this database. In addition, home performance contractors and manufacturers of residential materials and equipment may find this information useful. The database offers the following types of retrofit measures: 1) Appliances, 2) Domestic Hot Water, 3) Enclosure, 4) Heating, Ventilating, and Air Conditioning (HVAC), 5) Lighting, 6) Miscellaneous.

202

ASHRAE and residential ventilation  

SciTech Connect (OSTI)

In the last quarter of a century, the western world has become increasingly aware of environmental threats to health and safety. During this period, people psychologically retreated away from outdoors hazards such as pesticides, smog, lead, oil spills, and dioxin to the seeming security of their homes. However, the indoor environment may not be healthier than the outdoor environment, as has become more apparent over the past few years with issues such as mold, formaldehyde, and sick-building syndrome. While the built human environment has changed substantially over the past 10,000 years, human biology has not; poor indoor air quality creates health risks and can be uncomfortable. The human race has found, over time, that it is essential to manage the indoor environments of their homes. ASHRAE has long been in the business of ventilation, but most of the focus of that effort has been in the area of commercial and institutional buildings. Residential ventilation was traditionally not a major concern because it was felt that, between operable windows and envelope leakage, people were getting enough outside air in their homes. In the quarter of a century since the first oil shock, houses have gotten much more energy efficient. At the same time, the kinds of materials and functions in houses changed in character in response to people's needs. People became more environmentally conscious and aware not only about the resources they were consuming but about the environment in which they lived. All of these factors contributed to an increasing level of public concern about residential indoor air quality and ventilation. Where once there was an easy feeling about the residential indoor environment, there is now a desire to define levels of acceptability and performance. Many institutions--both public and private--have interests in Indoor Air Quality (IAQ), but ASHRAE, as the professional society that has had ventilation as part of its mission for over 100 years, is the logical place to provide leadership. This leadership has been demonstrated most recently by the publication of the first nationally recognized standard on ventilation in homes, ASHRAE Standard 62.2-2003, which builds on work that has been part of ASHRAE for many years and will presumably continue. Homeowners and occupants, which includes virtually all of us, will benefit from the application of Standard 62.2 and use of the top ten list. This activity is exactly the kind of benefit to society that the founders of ASHRAE envisioned and is consistent with ASHRAE's mission and vision. ASHRAE members should be proud of their Society for taking leadership in residential ventilation.

Sherman, Max H.

2003-10-01T23:59:59.000Z

203

Residential appliances technology atlas  

SciTech Connect (OSTI)

Residential appliance technology and efficiency opportunities for refrigerators and freezers, cooking appliances, clothes washers and dryers, dishwashers, and some often-ignored household devices such as spas, pool pumps, waterbed heaters, televisions, and home computers are thoroughly covered in this Atlas. The US appliance market, fuel shares, efficiency standards, labeling, and advances in home automation, design for recycling, and CFC issues are also discussed. The resource section contains lists of appliance manufacturers and distributors, and trade, professional, and governmental organizations, a summary of key resources for further information, and an index.

NONE

1994-12-31T23:59:59.000Z

204

Residential propane price decreases  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheatingpropane6, 2014 Residential

205

Residential propane price decreases  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheatingpropane6, 2014 Residential05,

206

Energy Optimization (Electric)- Residential Efficiency Program  

Broader source: Energy.gov [DOE]

The Energy Optimization Programs, administered by WECC, provides residential electric incentives for the following Michigan utilities:

207

Modeling diffusion of electrical appliances in the residential sector  

SciTech Connect (OSTI)

This paper presents a methodology for modeling residential appliance uptake as a function of root macroeconomic drivers. The analysis concentrates on four major energy end uses in the residential sector: refrigerators, washing machines, televisions and air conditioners. The model employs linear regression analysis to parameterize appliance ownership in terms of household income, urbanization and electrification rates according to a standard binary choice (logistic) function. The underlying household appliance ownership data are gathered from a variety of sources including energy consumption and more general standard of living surveys. These data span a wide range of countries, including many developing countries for which appliance ownership is currently low, but likely to grow significantly over the next decades as a result of economic development. The result is a 'global' parameterization of appliance ownership rates as a function of widely available macroeconomic variables for the four appliances studied, which provides a reliable basis for interpolation where data are not available, and forecasting of ownership rates on a global scale. The main value of this method is to form the foundation of bottom-up energy demand forecasts, project energy-related greenhouse gas emissions, and allow for the construction of detailed emissions mitigation scenarios.

McNeil, Michael A.; Letschert, Virginie E.

2009-11-22T23:59:59.000Z

208

New Energy Efficiency Standards for Residential Clothes Washers...  

Office of Environmental Management (EM)

June 2011 - Residential furnaces and residential central air conditioners and heat pumps September 2011 - Residential refrigerators, freezers, and refrigerator-freezers...

209

Residential Forced Air System Cabinet Leakage and Blower Performance  

E-Print Network [OSTI]

CA. CEC(2008b). ResidentialAlternativeCalculationStandardforAirHandlersinResidentialSpaceConditioningofStandardsOptionsforResidentialAirHandlerFans.

Walker, Iain S.

2010-01-01T23:59:59.000Z

210

Financing Non-Residential Photovoltaic Projects: Options and Implications  

E-Print Network [OSTI]

of panel titled Financing Residential and Small CommercialL ABORATORY Financing Non-Residential Photovoltaic Projects:1 2. Policy Support for Non-Residential PV

Bolinger, Mark

2009-01-01T23:59:59.000Z

211

Meeting Residential Ventilation Standards Through Dynamic Control of Ventilation Systems  

E-Print Network [OSTI]

Rudd. 2007. Review of residential ventilation technologies.2009. EISG Final Report: Residential Integrated VentilationDesign and Operation of Residential Cooling Systems. Proc.

Sherman, Max H.

2011-01-01T23:59:59.000Z

212

Residential implementation of critical-peak pricing of electricity  

E-Print Network [OSTI]

L.R. Modeling alternative residential peak-load electricitydemand response to residential critical peak pricing (CPP)analysis of California residential customer response to

Herter, Karen

2006-01-01T23:59:59.000Z

213

Modeling diffusion of electrical appliances in the residential sector  

E-Print Network [OSTI]

Efficiency Standards in the Residential Electricity Sector.France. USDOE (2001). Residential Energy Consumption Survey,long-term response of residential cooling energy demand to

McNeil, Michael A.

2010-01-01T23:59:59.000Z

214

Guide to Benchmarking Residential Program Progress Webcast Slides...  

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

Guide to Benchmarking Residential Program Progress Webcast Slides Guide to Benchmarking Residential Program Progress Webcast Slides Slides from "Guide to Benchmarking Residential...

215

Highly Insulating Residential Windows Using Smart Automated Shading...  

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

Highly Insulating Residential Windows Using Smart Automated Shading Highly Insulating Residential Windows Using Smart Automated Shading Addthis 1 of 3 Residential Smart Window with...

216

Focus Series: Maine-Residential Direct Install Program | Department...  

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

Maine-Residential Direct Install Program Focus Series: Maine-Residential Direct Install Program Better Buildings Neighborhood Program Focus Series: MAINE-Residential Direct Install...

217

Better Buildings Residential Network: Lessons Learned: Peer Exchange...  

Energy Savers [EERE]

Better Buildings Residential Network: Lessons Learned: Peer Exchange Calls Better Buildings Residential Network: Lessons Learned: Peer Exchange Calls Better Buildings Residential...

218

About the Better Buildings Residential Network | Department of...  

Office of Environmental Management (EM)

About the Better Buildings Residential Network About the Better Buildings Residential Network The Better Buildings Residential Network connects energy efficiency programs and...

219

Residential Retrofit Design Guide Overview | Department of Energy  

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

Residential Retrofit Design Guide Overview Residential Retrofit Design Guide Overview Residential Retrofit Design Guide Overview Webinar. Res Retro Design Guide Webinar 5-3-11...

220

Jasper County REMC- Residential Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

Jasper County REMC, in conjunction with Wabash Valley Power Association's Power Moves programs, offers a range of rebates to its residential customers for the purchase and installation of energy...

Note: This page contains sample records for the topic "forecasts future residential" 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

INTERNATIONAL COMPARISON OF RESIDENTIAL ENERGY USE: INDICATORS OF RESIDENTIAL ENERGY USE AND EFFICIENCY PART ONE: THE DATA BASE  

E-Print Network [OSTI]

and Analysis of Swedish Residential Energy Use Data 1960-80.1980. International Residential Energy Use and ConservationInternational Comparison of Residential Energy ! Js~. Report

Schipper, L.

2013-01-01T23:59:59.000Z

222

3, 21452173, 2006 Probabilistic forecast  

E-Print Network [OSTI]

HESSD 3, 2145­2173, 2006 Probabilistic forecast verification F. Laio and S. Tamea Title Page for probabilistic forecasts of continuous hydrological variables F. Laio and S. Tamea DITIC ­ Department­2173, 2006 Probabilistic forecast verification F. Laio and S. Tamea Title Page Abstract Introduction

Paris-Sud XI, Université de

223

4, 189212, 2007 Forecast and  

E-Print Network [OSTI]

OSD 4, 189­212, 2007 Forecast and analysis assessment through skill scores M. Tonani et al. Title Science Forecast and analysis assessment through skill scores M. Tonani 1 , N. Pinardi 2 , C. Fratianni 1 Forecast and analysis assessment through skill scores M. Tonani et al. Title Page Abstract Introduction

Paris-Sud XI, Université de

224

Forecast Technical Document Technical Glossary  

E-Print Network [OSTI]

Forecast Technical Document Technical Glossary A document defining some of the terms used in the 2011 Production Forecast technical documentation. Tom Jenkins Robert Matthews Ewan Mackie Lesley in the Forecast documentation. In some cases, the terms and the descriptions are "industry standard", in others

225

Forecast Technical Document Tree Species  

E-Print Network [OSTI]

Forecast Technical Document Tree Species A document listing the tree species included in the 2011 Production Forecast Tom Jenkins Justin Gilbert Ewan Mackie Robert Matthews #12;PF2011 ­ List of tree species The following is the list of species used within the Forecast System. Species are ordered alphabetically

226

TRAVEL DEMAND AND RELIABLE FORECASTS  

E-Print Network [OSTI]

TRAVEL DEMAND AND RELIABLE FORECASTS FOR TRANSIT MARK FILIPI, AICP PTP 23rd Annual Transportation transportation projects § Develop and maintain Regional Travel Demand Model § Develop forecast socio in cooperative review during all phases of travel demand forecasting 4 #12;Cooperative Review Should Include

Minnesota, University of

227

Consensus Coal Production Forecast for  

E-Print Network [OSTI]

in the consensus forecast produced in 2006, primarily from the decreased demand as a result of the current nationalConsensus Coal Production Forecast for West Virginia 2009-2030 Prepared for the West Virginia Summary 1 Recent Developments 2 Consensus Coal Production Forecast for West Virginia 10 Risks

Mohaghegh, Shahab

228

ENERGY DEMAND FORECAST METHODS REPORT  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION ENERGY DEMAND FORECAST METHODS REPORT Companion Report to the California Energy Demand 2006-2016 Staff Energy Demand Forecast Report STAFFREPORT June 2005 CEC-400 .......................................................................................................................................1-1 ENERGY DEMAND FORECASTING AT THE CALIFORNIA ENERGY COMMISSION: AN OVERVIEW

229

Demand Forecasting of New Products  

E-Print Network [OSTI]

Demand Forecasting of New Products Using Attribute Analysis Marina Kang A thesis submitted Abstract This thesis is a study into the demand forecasting of new products (also referred to as Stock upon currently employed new-SKU demand forecasting methods which involve the processing of large

Sun, Yu

230

Improving Inventory Control Using Forecasting  

E-Print Network [OSTI]

EMGT 835 FIELD PROJECT: Improving Inventory Control Using Forecasting By Juan Mario Balandran jmbg@hotmail.com Master of Science The University of Kansas Fall Semester, 2005 An EMGT Field Project report submitted...............................................................................................................................................10 Current Inventory Forecast Process ...........................................................................................10 Development of Alternative Forecast Process...

Balandran, Juan

2005-12-16T23:59:59.000Z

231

Residential Solar Water Heating Rebates  

Broader source: Energy.gov [DOE]

New Hampshire offers a rebate for residential solar water-heating systems and solar space-heating systems. The rebate is equal to $1,500 for systems with an annual estimated output of 5.5 MMBTU to...

232

Residential Solar Sales Tax Exemption  

Broader source: Energy.gov [DOE]

New York enacted legislation in July 2005 exempting the sale and installation of residential solar-energy systems from the state's sales and compensating use taxes. The exemption was extended to...

233

Portland's Residential Solar Permitting Guide  

Broader source: Energy.gov [DOE]

This program guide outlines the application and review procedures for obtaining the necessary permit(s) to install a solar energy system for a new or existing residential building. The guide also...

234

Austin Energy's Residential Solar Rate  

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

Leslie Libby Austin Energy Project Manager 2020 Utility Scale Solar Goal 175 MW 30 MW PPA at Webberville 2020 Distributed Solar Goal 25 MW Residential - 7.0 MW Commercial - 1.4 MW...

235

Residential Renewable Energy Tax Credit  

Broader source: Energy.gov [DOE]

Established by ''The Energy Policy Act of 2005'', the federal tax credit for residential energy property initially applied to solar-electric systems, solar water heating systems and fuel cells. '...

236

Fuel Price Forecasts INTRODUCTION  

E-Print Network [OSTI]

Fuel Price Forecasts INTRODUCTION Fuel prices affect electricity planning in two primary ways and water heating, and other end-uses as well. Fuel prices also influence electricity supply and price because oil, coal, and natural gas are potential fuels for electricity generation. Natural gas

237

Solar forecasting review  

E-Print Network [OSTI]

Quantifying PV power output variability, Solar Energy, vol.each solar sen at node i, P(t) the total power output of theSolar Forecasting Historically, traditional power generation technologies such as fossil and nu- clear power which were designed to run in stable output

Inman, Richard Headen

2012-01-01T23:59:59.000Z

238

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

E-Print Network [OSTI]

Forecasting and Resource Assessment, 1 st Edition, Editors:Forecasting and Resource Assessment, 1 st Edition, Editors:Forecasting and Resource Assessment, 1 st Ed.. Editor: Jan

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

239

Adapting state and national electricity consumption forecasting methods to utility service areas. Final report  

SciTech Connect (OSTI)

This report summarizes the experiences of six utilities (Florida Power and Light Co., Municipal Electric Authority of Georgia, Philadelphia Electric Co., Public Service Co. of Colorado, Sacramento Municipal Utility District, and TVA) in adapting to their service territories models that were developed for forecasting loads on a national or regional basis. The models examined were of both end-use and econometric design and included the three major customer classes: residential, commercial, and industrial.

Swift, M.A.

1984-07-01T23:59:59.000Z

240

Forecast Horizons for Production Planning with Stochastic Demand Alfredo Garcia and Robert L. Smith  

E-Print Network [OSTI]

Forecast Horizons for Production Planning with Stochastic Demand Alfredo Garcia and Robert L. Smith Abstract Forecast horizons, i.e long enough planning horizons that ensure agreement of first period optimal production decisions of finite and infinite horizon problems regardless of changes in future demand

Smith, Robert L.

Note: This page contains sample records for the topic "forecasts future residential" 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

PROGRESS IN RESIDENTIAL ENERGY CONSERVATION - A MULTI COUNTRY PERSPECTIVE -  

E-Print Network [OSTI]

Conference, "New Energy Conservation Technologies", Berlin,IN RESIDENTIAL ENERGY CONSERVATION - A MULTI COUNTRYIN RESIDENTIAL ENERGY CONSERVATION - A MULTI COUNTRY

Schipper, Lee

2013-01-01T23:59:59.000Z

242

Energy Efficiency Program for Residential Products: Energy Conservation Standards for Residential Dishwashers, Reopening of the Comment Period  

Broader source: Energy.gov [DOE]

Energy Efficiency Program for Residential Products: Energy Conservation Standards for Residential Dishwashers, Reopening of the Comment Period

243

Residential Transactive Control Demonstration  

SciTech Connect (OSTI)

Arguably the most exciting aspect of the smart grid vision is the full participation of end-use resources with all forms of generation and energy storage in the reliable and efficient operation of an electric power system. Engaging all of these resources in a collaborative manner that respects the objectives of each resource, is sensitive to the system and local constraints of electricity flow, and scales to the large number of devices and systems participating is a grand challenge. Distributed decision-making system approaches have been presented and experimentation is underway. This paper reports on the preliminary findings of a residential demand response demonstration that uses the bidding transactions of supply and end-use air conditioning resources communicating with a real-time, 5 minute market to balance the various needs of the participants on a distribution feeder. The nature of the demonstration, the value streams being explored, and the operational scenarios implemented to characterize the system response are summarized along with preliminary findings.

Widergren, Steven E.; Fuller, Jason C.; Marinovici, Maria C.; Somani, Abhishek

2014-02-19T23:59:59.000Z

244

Global residential appliance standards  

SciTech Connect (OSTI)

In most countries, residential electricity consumption typically ranges from 20% to 40% of total electricity consumption. This energy is used for heating, cooling, refrigeration and other end-uses. Significant energy savings are possible if new appliance purchases are for models with higher efficiency than that of existing models. There are several ways to ensure or encourage such an outcome, for example, appliance rebates, innovative procurement, and minimum efficiency standards. This paper focuses on the latter approach. At the present time, the US is the only country with comprehensive appliance energy efficiency standards. However, many other countries, such as Australia, Canada, the European Community (EC), Japan and Korea, are considering enacting standards. The greatest potential impact of minimum efficiency standards for appliances is in the developing countries (e.g., China and India), where saturations of household appliances are relatively low but growing rapidly. This paper discusses the potential savings that could be achieved from global appliance efficiency standards for refrigerators and freezers. It also could be achieved from global appliance efficiency standards for refrigerators and freezers. It also discusses the impediments to establishing common standards for certain appliance types, such as differing test procedures, characteristics, and fuel prices. A methodology for establishing global efficiency standards for refrigerators and freezers is described.

Turiel, I.; McMahon, J.E. (Lawrence Berkeley Lab., CA (United States)); Lebot, B. (Agence Francaise pour la Maitrise de l'Energie, Valbonne (France))

1993-03-01T23:59:59.000Z

245

Forecasting oilfield economic performance  

SciTech Connect (OSTI)

This paper presents a general method for forecasting oilfield economic performance that integrates cost data with operational, reservoir, and financial information. Practices are developed for determining economic limits for an oil field and its components. The economic limits of marginal wells and the role of underground competition receive special attention. Also examined is the influence of oil prices on operating costs. Examples illustrate application of these concepts. Categorization of costs for historical tracking and projections is recommended.

Bradley, M.E. (Univ. of Chicago, IL (United States)); Wood, A.R.O. (BP Exploration, Anchorage, AK (United States))

1994-11-01T23:59:59.000Z

246

Similar effects of residential and non-residential vegetation on bird diversity in suburban neighbourhoods  

E-Print Network [OSTI]

Similar effects of residential and non-residential vegetation on bird diversity in suburban the Queen in Right of Canada 2013 Abstract Estimating the relative importance of vegetation on residential land (gardens, yards, and street-trees) and vegetation on non-residential land (parks and other large

Dawson, Jeff W.

247

Wave Impact Study on a Residential Building Wave Impact Study on a Residential Building  

E-Print Network [OSTI]

Wave Impact Study on a Residential Building Paper: Wave Impact Study on a Residential Building John residential light- frame wood buildings and wave and surge loading be- cause often little is left residential structures and wave loading. To do this, one-sixth scale residen- tial building models typical

Cox, Dan

248

2008 Residential2008 Residential Energy Plan ReviewEnergy Plan Reviewe gy la eviewe gy la eview  

E-Print Network [OSTI]

2008 Residential2008 Residential Energy Plan ReviewEnergy Plan Reviewe gy la eviewe gy la eview #12;2008 Residential Energy Plan2008 Residential Energy Plan Review ChecklistReview Checklist Simplification ChecklistsOther Available Checklists 2005 and 2008 Residential Energy Documentation2005 and 2008 Residential

249

Piedmont Natural Gas- Residential Equipment Efficiency Program  

Broader source: Energy.gov [DOE]

Piedmont Natural Gas offers rebates on high-efficiency natural gas tankless water heaters, tank water heaters and furnaces. Customers on the 201-Residential Service Rate or 221-Residential Service...

250

Edmond Electric- Residential Heat Pump Rebate Program  

Broader source: Energy.gov [DOE]

Edmond Electric offers rebates to residential customers who install energy-efficient heat pumps. This program applies to installations in both new and existing residential homes and complexes. Air...

251

Residential Load Management Program and Pilot  

E-Print Network [OSTI]

In 1986 LCRA embarked on residential load management to control peak summer loads. At that time, LCRA was considered a summer peaking utility, and residential air conditioning and water heating systems were selected for control. The program...

Haverlah, D.; Riordon, K.

1994-01-01T23:59:59.000Z

252

Charlotte Green Supply Chain: Residential Retrofitting | Department...  

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

Charlotte Green Supply Chain: Residential Retrofitting Charlotte Green Supply Chain: Residential Retrofitting July 30, 2010 - 10:50am Addthis Joshua DeLung What does this mean for...

253

BINGHAMTON UNIVERSITY OFFICE OF RESIDENTIAL LIFE  

E-Print Network [OSTI]

BINGHAMTON UNIVERSITY OFFICE OF RESIDENTIAL LIFE PROCEDURES FOR THE USE OF HOLIDAY DECORATIONS in a location established by the Office of Residential Life. In these instances, candles and incense may never

Suzuki, Masatsugu

254

BINGHAMTON UNIVERSITY OFFICE OF RESIDENTIAL LIFE  

E-Print Network [OSTI]

BINGHAMTON UNIVERSITY OFFICE OF RESIDENTIAL LIFE PROCEDURES FOR THE USE OF HOLIDAY DECORATIONS by the Office of Residential Life. In these instances, candles and incense may never be left unattended and any

Suzuki, Masatsugu

255

CC: Security, Residential Life Evacuation Assistance Form  

E-Print Network [OSTI]

CC: Security, Residential Life Evacuation Assistance Form Voluntary Self-Identification If you have will be kept confidential and used only by Environmental Health and Safety, Residential Life (if applicable

Mahon, Bradford Z.

256

Department of Residential Life University of Missouri  

E-Print Network [OSTI]

Department of Residential Life University of Missouri may 11 >> halls close, 5 p.m. summer to June 1). Sign up forms are available at 0780 Defoe-Graham in the Residential Life Administration Office

Taylor, Jerry

257

Residential Properties 5100 South Dorchester Avenue  

E-Print Network [OSTI]

Residential Properties 5100 South Dorchester Avenue Chicago, Illinois 60615 T 773.753-2200 F 733 for specific answers to: residential@uchicago.edu. Thank you, in advance, for your patience during this process

He, Chuan

258

Application of Fast Marching Methods for Rapid Reservoir Forecast and Uncertainty Quantification  

E-Print Network [OSTI]

Rapid economic evaluations of investment alternatives in the oil and gas industry are typically contingent on fast and credible evaluations of reservoir models to make future forecasts. It is often important to also quantify inherent risks...

Olalotiti-Lawal, Feyisayo

2013-05-17T23:59:59.000Z

259

E-Print Network 3.0 - america residential system Sample Search...  

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

Services Housing, Dining & Residential Services Housing, Dining... & Residential Services Housing, Dining & Residential ... Source: Balandin, Alexander- Department of...

260

System design and dynamic signature identification for intelligent energy management in residential buildings.  

E-Print Network [OSTI]

for Intelligent Energy Management in Residential Buildingsfor Intelligent Energy Management in Residential Buildingsthat can provide autonomous energy management to residential

Jang, Jaehwi

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasts future residential" 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

Forecast Technical Document Growing Stock Volume  

E-Print Network [OSTI]

Forecast Technical Document Growing Stock Volume Forecasts A document describing how growing stock (`standing') volume is handled in the 2011 Production Forecast. Tom Jenkins Robert Matthews Ewan Mackie Lesley Halsall #12;PF2011 ­ Growing stock volume forecasts Background A forecast of standing volume (or

262

SOLAR IRRADIANCE FORECASTING FOR THE MANAGEMENT OF SOLAR ENERGY SYSTEMS  

E-Print Network [OSTI]

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

Heinemann, Detlev

263

Introduction An important goal in operational weather forecasting  

E-Print Network [OSTI]

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

Haak, Hein

264

Journey data based arrival forecasting for bicycle hire schemes  

E-Print Network [OSTI]

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

Imperial College, London

265

Children in Residential Care: A wicked problem?  

E-Print Network [OSTI]

#12;Children in Residential Care: A wicked problem? Mary McKenna Flinders Law School 29 Nov 11 Mary in residential care · At what level of the system should changes occur? · Numbers in residential care in SA-discovery of child abuse in 1970s · Legislation & policy changes · Reporting and investigation · Types of abuse #12

266

Renovating Residential HVAC Systems HVAC Systems  

E-Print Network [OSTI]

- 1 - LBNL 57406 Renovating Residential HVAC Systems HVAC Systems J.A. McWilliams and I.S. Walker and Air Conditioning), and Stacy Hunt and Ananda Harzell (IBACOS). #12;- 3 - Renovating Residential HVAC Guideline for Residential HVAC Retrofits (http

267

living and learning Department of Residential Life  

E-Print Network [OSTI]

living and learning Accessible housing at Mizzou Department of Residential Life University is important to us. The Department of Residential Life at MU is committed to providing and improving accessible spaces for students with disabilities. Residential Life will help provide appropriate housing

Missouri-Columbia, University of

268

Residential Building Stockg Assessment (RBSA)for  

E-Print Network [OSTI]

9/4/2013 1 Residential Building Stockg Assessment (RBSA)for Multi-Family Housing Tom Eckman Objectives Characterize Residential Sector Building Stock ­ Single Family (Four-plex and below) l if il ( i Pacific Northwest Residential Energy Survey (PNWRES92)Survey (PNWRES92) NEEA Survey of Baseline

269

CC: Security, Residential Life Evacuation Assistance Form  

E-Print Network [OSTI]

CC: Security, Residential Life Evacuation Assistance Form Voluntary Self-Identification If you have will be kept confidential and used only by Environmental Health and Safety, Residential Life (if applicable:_______________________________________________________ ______________________________________________________________________________ ______________________________________________________________________________ #12;CC: Security, Residential Life If this is a temporary request, please provide a date when

Cantlon, Jessica F.

270

Housing & Residential Life Contracts, Assignments & Billing  

E-Print Network [OSTI]

Housing & Residential Life Contracts, Assignments & Billing Comstock Hall-East 210 Delaware St. SE.housing.umn.edu/contractbook. I hereby agree to comply with all University of Minnesota and Housing & Residential Life policies to promptly notify Housing & Residential Life of any felony or misdemeanor charge or conviction prior

Amin, S. Massoud

271

Residential Life Luggage Program Summer 2014  

E-Print Network [OSTI]

Residential Life Luggage Program Summer 2014 International and out-of-state students who should be addressed as follows: Residential Life Luggage Program Physical Plant/CDS University. · Residential Life will not be held responsible for items lost or damaged in handling. We advise against sending

Massachusetts at Amherst, University of

272

Graduate Hall Director Office of Residential Programs  

E-Print Network [OSTI]

Page 1 Graduate Hall Director Office of Residential Programs Housing Guidelines #12;Page 2 Graduate Hall Director for Residential Programs Guidelines for Residence This document is intended for the Office of Residential Programs Graduate Hall Directors (GHDs) who obtain housing on campus as part

Hone, James

273

NORTHWESTERN UNIVERSITY DEPARTMENT OF RESIDENTIAL SERVICES  

E-Print Network [OSTI]

NORTHWESTERN UNIVERSITY DEPARTMENT OF RESIDENTIAL SERVICES FALL 2013/WINTER 2014/SPRING 2014 of the Contract by the Executive Director of Residential Services ("Director") or their designee and receipt for residence in the premises, I am responsible to advise the Department of Residential Services immediately

Reber, Paul J.

274

Housing & Residential Life Contracts, Assignments & Billing  

E-Print Network [OSTI]

Housing & Residential Life Contracts, Assignments & Billing Comstock Hall-East 210 Delaware St. SE & Residential Life. For the fall semester, I will cancel on or before August 7. For the spring semester, I day until Housing & Residential Life is able to fill my assigned space with a student from the waiting

Minnesota, University of

275

Characterizing Residential Broadband Networks Marcel Dischinger  

E-Print Network [OSTI]

Characterizing Residential Broadband Networks Marcel Dischinger MPI for Software Systems mdischin and rapidly growing proportion of users connect to the Internet via residential broadband networks such as Dig- ital Subscriber Lines (DSL) and cable. Residential networks are often the bottleneck in the last mile

Saroiu, Stefan

276

WARREN RESIDENTIAL LIFE RESIDENT ASSISTANT POSITION DESCRIPTION  

E-Print Network [OSTI]

WARREN RESIDENTIAL LIFE RESIDENT ASSISTANT POSITION DESCRIPTION The position of Resident Assistant for students living within the Warren College residential community. Resident Assistant's (RA's) are principle members of the Warren Residential Life staff. In accordance with the University of California's Personnel

Russell, Lynn

277

Residential Lighting: Title 24 and Technology Update  

E-Print Network [OSTI]

Residential Lighting: Title 24 and Technology Update Best practices in lighting design to comply;INTRODUCTION Course Topics Part 1: Technology Overview · Common lighting terminology · Residential lighting residential lighting regulation · Design examples to reach or exceed code Part 5: Compliance Process · Step

California at Davis, University of

278

Siena College Office of Residential Life  

E-Print Network [OSTI]

Siena College Office of Residential Life New Student Housing Application Instructions #12;Welcome students who are admitted as "Residential" students. Commuters DO NOT need to complete the application for "Residential Life (My Housing)" is under the "Personal Information" Tab #12;Within the "Personal Information

279

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

E-Print Network [OSTI]

Forecast System Southwest Florida Forecast Region Maps 0 20 4010 Miles #12;Bay-S Pinellas Bay-UPR Bay 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

280

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

Note: This page contains sample records for the topic "forecasts future residential" 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

UWIG Forecasting Workshop -- Albany (Presentation)  

SciTech Connect (OSTI)

This presentation describes the importance of good forecasting for variable generation, the different approaches used by industry, and the importance of validated high-quality data.

Lew, D.

2011-04-01T23:59:59.000Z

282

Arnold Schwarzenegger INTEGRATED FORECAST AND  

E-Print Network [OSTI]

Arnold Schwarzenegger Governor INTEGRATED FORECAST AND RESERVOIR MANAGEMENT (INFORM) FOR NORTHERN Manager Joseph O' Hagan Project Manager Kelly Birkinshaw Program Area Manager ENERGY-RELATED ENVIRONMENTAL

283

Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets  

SciTech Connect (OSTI)

This paper evaluates the accuracy of two methods to forecast natural gas prices: using the Energy Information Administration's ''Annual Energy Outlook'' forecasted price (AEO) and the ''Henry Hub'' compared to U.S. Wellhead futures price. A statistical analysis is performed to determine the relative accuracy of the two measures in the recent past. A statistical analysis suggests that the Henry Hub futures price provides a more accurate average forecast of natural gas prices than the AEO. For example, the Henry Hub futures price underestimated the natural gas price by 35 cents per thousand cubic feet (11.5 percent) between 1996 and 2003 and the AEO underestimated by 71 cents per thousand cubic feet (23.4 percent). Upon closer inspection, a liner regression analysis reveals that two distinct time periods exist, the period between 1996 to 1999 and the period between 2000 to 2003. For the time period between 1996 to 1999, AEO showed a weak negative correlation (R-square = 0.19) between forecast price by actual U.S. Wellhead natural gas price versus the Henry Hub with a weak positive correlation (R-square = 0.20) between forecasted price and U.S. Wellhead natural gas price. During the time period between 2000 to 2003, AEO shows a moderate positive correlation (R-square = 0.37) between forecasted natural gas price and U.S. Wellhead natural gas price versus the Henry Hub that show a moderate positive correlation (R-square = 0.36) between forecast price and U.S. Wellhead natural gas price. These results suggest that agencies forecasting natural gas prices should consider incorporating the Henry Hub natural gas futures price into their forecasting models along with the AEO forecast. Our analysis is very preliminary and is based on a very small data set. Naturally the results of the analysis may change, as more data is made available.

Wong-Parodi, Gabrielle; Lekov, Alex; Dale, Larry

2005-02-09T23:59:59.000Z

284

Conservation The Northwest ForecastThe Northwest Forecast  

E-Print Network [OSTI]

& Resources Creating Mr. Toad's Wild Ride for the PNW's Energy Efficiency InCreating Mr. Toad's Wild RideNorthwest Power and Conservation Council The Northwest ForecastThe Northwest Forecast Energy EfficiencyEnergy Efficiency Dominates ResourceDominates Resource DevelopmentDevelopment Tom EckmanTom Eckman

285

NATIONAL AND GLOBAL FORECASTS WEST VIRGINIA PROFILES AND FORECASTS  

E-Print Network [OSTI]

· NATIONAL AND GLOBAL FORECASTS · WEST VIRGINIA PROFILES AND FORECASTS · ENERGY · HEALTHCARE Research West Virginia University College of Business and Economics P.O. Box 6527, Morgantown, WV 26506 EXPERT OPINION PROVIDED BY Keith Burdette Cabinet Secretary West Virginia Department of Commerce

Mohaghegh, Shahab

286

CORPORATE GOVERNANCE AND MANAGEMENT EARNINGS FORECAST  

E-Print Network [OSTI]

1 CORPORATE GOVERNANCE AND MANAGEMENT EARNINGS FORECAST QUALITY: EVIDENCE FROM FRENCH IPOS Anis attributes, ownership retained, auditor quality, and underwriter reputation and management earnings forecast quality measured by management earnings forecast accuracy and bias. Using 117 French IPOs, we find

Paris-Sud XI, Université de

287

STAFF FORECAST OF 2007 PEAK STAFFREPORT  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION STAFF FORECAST OF 2007 PEAK DEMAND STAFFREPORT June 2006 CEC-400....................................................................... .................11 Tables Table 1: Revised versus September 2005 Peak Demand Forecast ......................... 2.............................................................................................. 10 #12;Introduction and Background This document describes staff's updated 2007 peak demand forecasts

288

2009 CAPS Spring Forecast Program Plan  

E-Print Network [OSTI]

package. · Two 18 UTC update forecasts on demand basis, with the same domain and configuration, running2009 CAPS Spring Forecast Experiment Program Plan April 20, 2009 #12;2 Table of Content 1. Overview .......................................................................................................4 3. Forecast System Configuration

Droegemeier, Kelvin K.

289

Perceptions of compact fluorescent lamps in the residential market  

SciTech Connect (OSTI)

Compact fluorescent lamps offer significant energy savings over other forms of residential lighting and last up to 10 times longer than conventional incandescent bulbs. In order to better understand existing barriers to acceptance and future opportunities for growth of compact fluorescent lighting in the residential retrofit sector, a three stage research project was designed and conducted by MACRO Consulting, Inc. Assessment of whether or not the benefits of compact fluorescent lamps are sufficient to overcome price resistance was one of the major purposes of this project. Residential customers were interviewed in focus group sessions to help determine key issues and motivating forces in the lighting/energy saving/cost saving equation. Residential customers in 5 major market areas were contacted by telephone, and data about their awareness, knowledge and use of compact fluorescent lighting were collected. These customers also participated in an attribute rating exercise in which compact fluorescent lamps were compared with fluorescent tubes and incandescent bulbs on a series of product attributes. A price elasticity exercise was also conducted. Teleconferences with retailers of compact fluorescent lamps were conducted in order to explore their knowledge of and attitudes towards compact fluorescent lamps. Customers agree that energy savings and longer life are both positive attributes for residential lighting products, but they are not yet ready to make the switch away from inexpensive, versatile and readily available incandescent bulbs to compact fluorescent lamps. Compact fluorescent lamps are rated poorly (even by satisfied'' users) on each of seven positive attributes of home lighting. Major barriers to increased use of compact fluorescent lamps include price, convenience, and performance. Prices above $10 are considered outrageous''. Product improvements are needed for appearance, light output and versatility.

Weiner, J.; Campbell, C.J. (Macro Consulting, Inc., Mountain View, CA (United States))

1992-07-01T23:59:59.000Z

290

CALIFORNIA ENERGY Residential Duct Placement  

E-Print Network [OSTI]

through the integrated design, construction, and operation of building systems. The Integrated Energy Systems Integrated Design of Commercial Building Ceiling Systems Integrated Design of Residential Ducting;#12;ACKNOWLEDGEMENTS The products and outcomes presented in this report are part of the Integrated Design

291

Comparing Residential Furnace Blowers for  

E-Print Network [OSTI]

of air conditioner performance, standby power, as well as igniter and combustion air blower power results in 10% lower air conditioner efficiency. For heating, the advantage of the BPM blower was to assess the performance of residential furnace blowers for both heating, cooling and air distribution

292

Sixth Northwest Conservation and Electric Power Plan Appendix D: Wholesale Electricity Price Forecast  

E-Print Network [OSTI]

Forecast Introduction.................................................................................................................................... 6 Demand................................................................... 16 The Base Case Forecast

293

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

294

Regional-seasonal weather forecasting  

SciTech Connect (OSTI)

In the interest of allocating heating fuels optimally, the state-of-the-art for seasonal weather forecasting is reviewed. A model using an enormous data base of past weather data is contemplated to improve seasonal forecasts, but present skills do not make that practicable. 90 references. (PSB)

Abarbanel, H.; Foley, H.; MacDonald, G.; Rothaus, O.; Rudermann, M.; Vesecky, J.

1980-08-01T23:59:59.000Z

295

Improving the thermal performance of the US residential window stock  

SciTech Connect (OSTI)

Windows have typically been the least efficient thermal component in the residential envelope, but technology advances over the past decade have helped to dramatically improve the energy efficiency of window products. While the thermal performance of these advanced technology windows can be easily characterized for a particular building application, few precise estimates exist of their aggregate impact on national or regional energy use. Policy-makers, utilities, researchers and the fenestration industry must better understand these products` ultimate conservation potential in order to determine the value of developing new products and initiating programs to accelerate their market acceptance. This paper presents a method to estimate the conservation potential of advanced window technologies, combining elements of two well-known modeling paradigms: supply curves of conserved energy and residential end-use forecasting. The unique features include: detailed descriptions of the housing stock by region and vintage, state-of-the-art thermal descriptions of window technologies, and incorporation of market effects to calculate achievable conservation potential and timing. We demonstrate the methodology by comparing, for all new houses built between 1990 and 2010, the conservation potential of very efficient, high R-value ``superwindows`` in the North Central federal region and spectrally-selective low-emissivity (moderate Revalue and solar transmittance) windows in California.

Brown, R.E.; Arasteh, D.K.; Eto, J.H.

1992-05-01T23:59:59.000Z

296

Atmospheric Lagrangian coherent structures considering unresolved turbulence and forecast uncertainty  

E-Print Network [OSTI]

Atmospheric Lagrangian coherent structures considering unresolved turbulence and forecast structures Stochastic trajectory Stochastic FTLE field Ensemble forecasting Uncertainty analysis a b s t r of the forecast FTLE fields is analyzed using ensemble forecasting. Unavoidable errors of the forecast velocity

Ross, Shane

297

Residential Services Area Missing Students living in University Managed Accommodation  

E-Print Network [OSTI]

Residential Services Area Missing Students living in University Managed Accommodation 1.0 Where then report to the Building Manager or to the Residential Student Support Team or the Residential Services issues Residential Student Support Manager or the Residential Services Manager should be contacted

Sussex, University of

298

A Method for Modeling Household Occupant Behavior to Simulate Residential Energy Consumption  

SciTech Connect (OSTI)

This paper presents a statistical method for modeling the behavior of household occupants to estimate residential energy consumption. Using data gathered by the U.S. Census Bureau in the American Time Use Survey (ATUS), actions carried out by survey respondents are categorized into ten distinct activities. These activities are defined to correspond to the major energy consuming loads commonly found within the residential sector. Next, time varying minute resolution Markov chain based statistical models of different occupant types are developed. Using these behavioral models, individual occupants are simulated to show how an occupant interacts with the major residential energy consuming loads throughout the day. From these simulations, the minimum number of occupants, and consequently the minimum number of multiple occupant households, needing to be simulated to produce a statistically accurate representation of aggregate residential behavior can be determined. Finally, future work will involve the use of these occupant models along side residential load models to produce a high-resolution energy consumption profile and estimate the potential for demand response from residential loads.

Johnson, Brandon J [ORNL] [ORNL; Starke, Michael R [ORNL] [ORNL; Abdelaziz, Omar [ORNL] [ORNL; Jackson, Roderick K [ORNL] [ORNL; Tolbert, Leon M [University of Tennessee, Knoxville (UTK)] [University of Tennessee, Knoxville (UTK)

2014-01-01T23:59:59.000Z

299

User-needs study for the 1993 residential energy consumption survey  

SciTech Connect (OSTI)

During 1992, the Energy Information Administration (EIA) conducted a user-needs study for the 1993 Residential Energy Consumption Survey (RECS). Every 3 years, the RECS collects information on energy consumption and expenditures for various classes of households and residential buildings. The RECS is the only source of such information within EIA, and one of only a few sources of such information anywhere. EIA sent letters to more than 750 persons, received responses from 56, and held 15 meetings with users. Written responses were also solicited by notices published in the April 14, 1992 Federal Register and in several energy-related publications. To ensure that the 1993 RECS meets current information needs, EIA made a specific effort to get input from policy makers and persons needing data for forecasting efforts. These particular needs relate mainly to development of the National Energy Modeling System and new energy legislation being considered at the time of the user needs survey.

Not Available

1993-09-24T23:59:59.000Z

300

PROBLEMS OF FORECAST1 Dmitry KUCHARAVY  

E-Print Network [OSTI]

1 PROBLEMS OF FORECAST1 Dmitry KUCHARAVY dmitry.kucharavy@insa-strasbourg.fr Roland DE GUIO roland for the purpose of Innovative Design. First, a brief analysis of problems for existing forecasting methods of the forecast errors. Second, using a contradiction analysis, a set of problems related to technology forecast

Paris-Sud XI, Université de

Note: This page contains sample records for the topic "forecasts future residential" 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

Using reforecasts for probabilistic forecast calibration  

E-Print Network [OSTI]

1 Using reforecasts for probabilistic forecast calibration Tom Hamill NOAA Earth System Research that is currently operational. #12;3 Why compute reforecasts? · For many forecast problems, such as long-lead forecasts or high-precipitation events, a few past forecasts may be insufficient for calibrating

Hamill, Tom

302

Forecast Combination With Outlier Protection Gang Chenga,  

E-Print Network [OSTI]

Forecast Combination With Outlier Protection Gang Chenga, , Yuhong Yanga,1 a313 Ford Hall, 224 Church St SE, Minneapolis, MN 55455 Abstract Numerous forecast combination schemes with distinct on combining forecasts with minimizing the occurrence of forecast outliers in mind. An unnoticed phenomenon

Yuhong, Yang

303

Forecast Technical Document Felling and Removals  

E-Print Network [OSTI]

Forecast Technical Document Felling and Removals Forecasts A document describing how volume fellings and removals are handled in the 2011 Production Forecast system. Tom Jenkins Robert Matthews Ewan Mackie Lesley Halsall #12;PF2011 ­ Felling and removals forecasts Background A fellings and removals

304

Assessing Forecast Accuracy Measures Department of Economics  

E-Print Network [OSTI]

Assessing Forecast Accuracy Measures Zhuo Chen Department of Economics Heady Hall 260 Iowa State forecast accuracy measures. In the theoretical direction, for comparing two forecasters, only when the errors are stochastically ordered, the ranking of the forecasts is basically independent of the form

305

Load Forecast For use in Resource Adequacy  

E-Print Network [OSTI]

-term Electricity Demand Forecasting System 1) Obtain Daily Regional Temperatures 6) Estimate Daily WeatherLoad Forecast 2019 For use in Resource Adequacy Massoud Jourabchi #12;In today's presentation d l­ Load forecast methodology ­ Drivers of the forecast f i­ Treatment of conservation

306

Paper presented at EWEC 2008, Brussels, Belgium (31 March-03 April) Uncertainty Estimation of Wind Power Forecasts  

E-Print Network [OSTI]

-Antipolis, France Abstract--Short-term wind power forecasting tools providing "single-valued" (spot) predictions associated to the future wind power produc- tion for performing more efficiently functions such as reserves and modelling architec- tures for probabilistic wind power forecasting. Then, a comparison is carried out

Paris-Sud XI, Université de

307

Current status of ForecastCurrent status of Forecast 2005 EPACT is in the model  

E-Print Network [OSTI]

1 1 Current status of ForecastCurrent status of Forecast 2005 EPACT is in the model 2007 Federal prices are being inputted into the model 2 Sales forecast Select yearsSales forecast Select years --Draft 0.53% Irrigation 2.76% Annual Growth Rates Preliminary Electricity ForecastAnnual Growth Rates

308

Can earnings forecasts be improved by taking into account the forecast bias?  

E-Print Network [OSTI]

Can earnings forecasts be improved by taking into account the forecast bias? François DOSSOU allow the calculation of earnings adjusted forecasts, for horizons from 1 to 24 months. We explain variables. From the forecast evaluation statistics viewpoints, the adjusted forecasts make it possible quasi

Paris-Sud XI, Université de

309

Revised Economic andRevised Economic and Demand ForecastsDemand Forecasts  

E-Print Network [OSTI]

Revised Economic andRevised Economic and Demand ForecastsDemand Forecasts April 14, 2009 Massoud,000 MW #12;6 Demand Forecasts Price Effect (prior to conservation) - 5,000 10,000 15,000 20,000 25,000 30 Jourabchi #12;2 Changes since the Last Draft ForecastChanges since the Last Draft Forecast Improved

310

PowerChoice Residential Customer Response to TOU Rates  

E-Print Network [OSTI]

Dennis J. 1985. The Residential Electricity Time-of-Use1989. Self-Selection in Residential Electricity Time-of-UseAnalysis of California Residential Critical Peak Pricing of

Peters, Jane S.

2010-01-01T23:59:59.000Z

311

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network [OSTI]

J.E. 1986. The LBL Residential Energy Model. LawrenceInc. MEANS. 1992. Residential Cost Data: 11th Annual EditionInstitute. 1989. Residential End-Use Energy Consumption: A

Wenzel, T.P.

2010-01-01T23:59:59.000Z

312

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

38 3.2.1. SDG&E Residential Electric Rates and TheirFootprint of Single-Family Residential New Construction.Solar photovoltaic financing: residential sector deployment,

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

313

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network [OSTI]

of Residential Source Heat Pump Gas Furnace HeatingResidential Heating Equipment (1) Database Year Minimum Type Code Fuel Effective (2) Efficiency (3) Heat Pumpheating technology of choice for almost 40% of the residential sector. Heat pumps

Wenzel, T.P.

2010-01-01T23:59:59.000Z

314

THE PENNSYLVANIA STATE UNIVERSITY HANKIN CHAIR IN RESIDENTIAL BUILDING CONSTRUCTION  

E-Print Network [OSTI]

research in the areas of residential building design and construction, sustainable buildings, energy issues in residential buildings, lifecycle analysis of buildings and related infrastructure, and sustainable landTHE PENNSYLVANIA STATE UNIVERSITY HANKIN CHAIR IN RESIDENTIAL BUILDING CONSTRUCTION The College

Guiltinan, Mark

315

RESIDENTIAL LOCATION CHOICE AND TRAVEL BEHAVIOR: IMPLICATIONS FOR AIR QUALITY  

E-Print Network [OSTI]

RESIDENTIAL LOCATION CHOICE AND TRAVEL BEHAVIOR: IMPLICATIONS FOR AIR QUALITY UC Davis-Caltrans Air control measure. #12;RESIDENTIAL LOCATION CHOICE AND TRAVEL BEHAVIOR: IMPLICATIONS FOR AIR QUALITY.......................................................... 3 2.2 The Role of Residential Location Choice

Levinson, David M.

316

Residential Landscapes Synthesis of the Literature and Preliminary Survey Results  

E-Print Network [OSTI]

Residential Landscapes Synthesis of the Literature and Preliminary Survey Results Elizabeth M. Cook comprehensive understanding of residential landscapes in urban ecosystems. · Highlight the social, ecological and integrated socio- ecological themes and current findings about residential landscapes. · Identify gaps

Hall, Sharon J.

317

Office for Residential Life & Housing Services University of Rochester  

E-Print Network [OSTI]

Office for Residential Life & Housing Services University of Rochester RESIDENT ADVISOR POSITION DESCRIPTION Resident Advisors help build healthy and inclusive residential communities that complement and extend classroom learning. RAs are expected to create intellectually active residential environments

Cantlon, Jessica F.

318

Modeling diffusion of electrical appliances in the residential sector  

E-Print Network [OSTI]

in forecasting electricity consumption in the residentialmodeling, since household electricity consumption is largelyup forecasting of electricity consumption by combining

McNeil, Michael A.

2010-01-01T23:59:59.000Z

319

Ameren Illinois (Gas)- Residential Energy Efficiency Rebates  

Broader source: Energy.gov [DOE]

Ameren Illinois Utilities (AmerenIP, AmerenCIPS, and AmerenCILCO) offer residential customers incentives for certain energy efficiency upgrades and improvements. Incentives are currently available...

320

Xcel Energy (Gas)- Residential Conservation Programs  

Broader source: Energy.gov [DOE]

Xcel Energy offers its Wisconsin residential natural gas customers rebates for high efficiency heating equipment. Currently, rebates are available for tankless and storage water heaters, furnaces,...

Note: This page contains sample records for the topic "forecasts future residential" 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

Entergy Arkansas- Residential Energy Efficiency Program (Arkansas)  

Broader source: Energy.gov [DOE]

Entergy Arkansas offers the Home Energy Solutions Program to help residential customers understand and make energy efficiency improvements in participating homes. Customers can call a toll-free...

322

Chelan County PUD- Residential Weatherization Rebate Program  

Broader source: Energy.gov [DOE]

Chelan County PUD offers cash rebates to residential customers who make energy efficient weatherization improvements to eligible homes. Eligible measures include efficient windows doors as well as...

323

Lincoln Electric System (Residential)- Sustainable Energy Program  

Broader source: Energy.gov [DOE]

Lincoln Electric System (LES) offers several rebates to residential customers who are interested in upgrading to energy efficient household equipment. The program includes rebates for insulation...

324

Better Buildings Residential Network Orientation | Department...  

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

Summary More Documents & Publications How Can the Network Meet Your Needs? Better Buildings Residential Program - 2014 BTO Peer Review Outreach to Multifamily Landlords and Tenants...

325

Collaborating With Utilities on Residential Energy Efficiency...  

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

Collaborating With Utilities on Residential Energy Efficiency, Call Slides and Discussion Summary, June 12, 2014. Call Slides and Discussion Summary More Documents & Publications...

326

Optional Residential Program Benchmarking | Department of Energy  

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

Data and Evaluation Peer Exchange Call Series: Optional Residential Program Benchmarking, Call Slides and Discussion Summary, January 23, 2014. Call Slides and Discussion Summary...

327

Building America Residential Energy Efficiency Stakeholders Meeting...  

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

2011, held in Atlanta, Georgia. Summary of Needs and Opportunities from the 2011 Residential Energy Efficiency Stakeholders Meeting More Documents & Publications Summary of...

328

CPS Energy- Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

CPS Energy offers a variety of rebates for energy efficiency related improvements to residential homes, including: appliances, HVAC equipment, insulation, and equipment recycling.. Rebate...

329

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

0 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

330

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

2001 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

331

Residential Energy Efficiency Research Planning Meeting Summary...  

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

Meeting Summary Report Residential Energy Efficiency Research Planning Meeting Summary Report This report summarizes key findings and outcomes from the U.S. Department of Energy's...

332

Tampa Electric- Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

Tampa Electric provides a variety of financial incentives to promote energy efficiency in the residential sector. The Ductwork Rebate Program gives Tampa Electric customers the opportunity to have...

333

Duquesne Light Company- Residential Energy Efficiency Program  

Broader source: Energy.gov [DOE]

Duquesne Light provides rebates to its residential customers for purchasing and installing energy-saving equipment. Eligible equipment includes dehumidifiers, freezers, refrigerators, air...

334

Vermont Gas- Residential Energy Efficiency Program  

Broader source: Energy.gov [DOE]

The Equipment Replacement program offers rebates for residential customers who replace existing heating equipment or water heater with a more energy efficient one. Rebates vary depending on...

335

Residential Energy Star Appliance Rebate Program  

Broader source: Energy.gov [DOE]

Energy Trust of Oregon offers rebates for Energy Star refrigerators, freezers and clothes washers to Oregon residential electric service customers of Portland General Electric (PGE) and Pacific...

336

Tacoma Power- Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

Tacoma Power offers a variety of incentives for residential customers to improve the energy efficiency in participating homes. Prescriptive rebates are available for equipment such as heat pumps,...

337

Better Buildings Residential Network Program Sustainability Series...  

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

Call: Connecting the Dots Between the Real Estate Market and Residential Energy Efficiency Featuring Host: Rich Dooley, Arlington County, VA Call Slides and Discussion Summary...

338

Empire District Electric- Residential Energy Efficiency Rebate  

Broader source: Energy.gov [DOE]

The Empire District Electric Company offers rebates for customers who construct highly efficient homes and purchase efficient central air conditioners. Eligible customers include residential...

339

Black Hills Power- Residential Customer Rebate Program  

Broader source: Energy.gov [DOE]

Black Hills Power offers cash rebates to residential customers who purchase and install energy efficient equipment in their homes. Incentives exist for water heaters, demand control units, air...

340

Idaho Falls Power- Residential Weatherization Loan Program  

Broader source: Energy.gov [DOE]

Residential customers with permanently installed electric heat who receive service from the City of Idaho Falls, are eligible for 0% weatherization loans. City Energy Service will conduct an...

Note: This page contains sample records for the topic "forecasts future residential" 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

Farmers RECC- Residential Insulation Rebate Program  

Broader source: Energy.gov [DOE]

The Farmers Rural Electric Cooperative (RECC) Button-Up Program provides free energy audits and rebates for insulation upgrades to its residential customers. Farmers RECC's energy advisor will...

342

Entergy New Orleans- Residential Energy Efficiency Program  

Broader source: Energy.gov [DOE]

Entergy New Orleans has designed an incentive program to help residential customers understand and make energy efficiency improvements in eligible homes. Incentives are geared towards both...

343

Covered Product Category: Residential Electric Resistance Water...  

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

Electric Resistance Water Heaters Covered Product Category: Residential Electric Resistance Water Heaters The Federal Energy Management Program (FEMP) sets Federal efficiency...

344

El Paso Electric Company- Residential Solutions Program  

Broader source: Energy.gov [DOE]

'''The El Paso Electric Residential Solutions Program funding has been expended in Texas for 2012. New funding will be available January 1, 2013. '''

345

MassSAVE (Electric)- Residential Retrofit Programs  

Broader source: Energy.gov [DOE]

MassSAVE organizes residential conservation services for programs administered by Massachusetts electric companies, gas companies and municipal aggregators. These utilities include Columbia Gas of...

346

MassSAVE (Gas)- Residential Rebate Program  

Broader source: Energy.gov [DOE]

MassSAVE, through Gas Networks, organizes residential conservation services for programs administered by Massachusetts electric companies, gas companies and municipal aggregators. These utilities...

347

Sawnee EMC- Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

Sawnee EMC provides a variety of rebates for residential customers building new energy efficient homes or making energy efficiency improvements to existing homes....

348

OTEC- Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

Oregon Trail Electric Cooperative (OTEC) assists residential members in reducing electric consumption by providing rebates for energy efficient equipment. Rebates are for appliances, heat pumps,...

349

Questar Gas- Residential Energy Efficiency Rebate Programs  

Broader source: Energy.gov [DOE]

Questar Gas provides rebates for residential customers who make their homes more energy efficient by installing certain energy saving appliances, efficient heating equipment, and certain...

350

PSNH- Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

Public Service of New Hampshire, in collaboration with [http://www.nhsaves.com/ nhsaves], provides incentives for residential customers to increase the energy efficiency of participating homes....

351

Ameren Illinois (Electric)- Residential Energy Efficiency Rebates  

Broader source: Energy.gov [DOE]

Ameren Illinois Utilities (AmerenIP, AmerenCIPS, and AmerenCILCO) offer residential customers incentives for certain energy efficiency upgrades and improvements. Incentives are currently available...

352

Residential Energy Efficiency Stakeholders Meeting: March 2011...  

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

Stakeholders Meeting: March 2011 Residential Energy Efficiency Stakeholders Meeting: March 2011 On this page, you may link to the summary report and presentations for the Building...

353

Residential Energy Efficiency Technical Update Meeting: August...  

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

Technical Update Meeting: August 2011 Residential Energy Efficiency Technical Update Meeting: August 2011 On this page, you may link to the summary report and presentations for the...

354

Residential Energy Efficiency Research Planning Meeting: October...  

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

Meeting: October 2011 Residential Energy Efficiency Research Planning Meeting: October 2011 On this page, you may link to the summary report and presentations for the Building...

355

Better Buildings Residential Network Membership Form  

Energy Savers [EERE]

Membership Form BETTER BUILDINGS RESIDENTIAL NETWORK Type of Organization (Check all that apply) ConsultantAdvisor Manufacturer ContractorTrade ally Nonprofit organization...

356

Kenergy- Residential Energy Efficiency Rebate Program (Kentucky)  

Broader source: Energy.gov [DOE]

Kenergy is an electric cooperative that serves 51,000 households and commercial customers in 14 western Kentucky counties. Currently, Kenergy offers three rebate programs for residential customers...

357

Meade County RECC- Residential Rebate Program  

Broader source: Energy.gov [DOE]

Meade County RECC offers rebates to residential members who install energy-efficient systems and equipment. New homebuilders can also access rebates for installing energy-efficient equipment...

358

RESIDENTIAL THERMOSTATS: COMFORT CONTROLS IN CALIFORNIA HOMES  

E-Print Network [OSTI]

Measures on Residential Air Conditioner Loads. Proc. ACEEEDeterminants of Central Air Conditioner Duty Cycles. Proc.at the number of air conditioners that might actually

Meier, Alan K.

2008-01-01T23:59:59.000Z

359

East Central Electric Cooperative- Residential Rebate Program  

Broader source: Energy.gov [DOE]

East Central Electric Cooperative offers rebates to residential customers to install energy-efficient ground source heat pumps, electric water heaters, and appliances. To qualify for the rebate...

360

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

Note: This page contains sample records for the topic "forecasts future residential" 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

Arnold Schwarzenegger INTEGRATED FORECAST AND  

E-Print Network [OSTI]

Arnold Schwarzenegger Governor INTEGRATED FORECAST AND RESERVOIR MANAGEMENT (INFORM) FOR NORTHERN with primary contributions in the area of decision support for reservoir planning and management Commission Energy-Related Environmental Research Joseph O' Hagan Contract Manager Joseph O' Hagan Project

362

Arnold Schwarzenegger INTEGRATED FORECAST AND  

E-Print Network [OSTI]

Arnold Schwarzenegger Governor INTEGRATED FORECAST AND RESERVOIR MANAGEMENT (INFORM) FOR NORTHERN: California Energy Commission Energy-Related Environmental Research Joseph O' Hagan Contract Manager Joseph O' Hagan Project Manager Kelly Birkinshaw Program Area Manager ENERGY-RELATED ENVIRONMENTAL RESEARCH Martha

363

Value of Wind Power Forecasting  

SciTech Connect (OSTI)

This study, building on the extensive models developed for the Western Wind and Solar Integration Study (WWSIS), uses these WECC models to evaluate the operating cost impacts of improved day-ahead wind forecasts.

Lew, D.; Milligan, M.; Jordan, G.; Piwko, R.

2011-04-01T23:59:59.000Z

364

An innovative educational program for residential energy efficiency. Final report  

SciTech Connect (OSTI)

Recognizing the importance of energy conservation, under sponsorship of the US Department of Energy, Cornell University conducted a research and demonstration project entitled An Innovative Educational Program for Residential Energy Efficiency. The research project examined the amount of residential energy that can be saved through changes in behavior and practices of household members. To encourage these changes, a workshop was offered to randomly-selected households in New York State. Two surveys were administered to household participants (Survey 1 and Survey 2, Appendix A) and a control group; and a manual was developed to convey many easy but effective ways to make a house more energy efficient (see Residential Manual, Appendix B). Implementing methods of energy efficiency will help reduce this country`s dependence on foreign energy sources and will also reduce the amount of money that is lost on inefficient energy use. Because Cornell Cooperative Extension operates as a component of the land-grant university system throughout the US, the results of this research project have been used to develop a program that can be implemented by the Cooperative Extension Service nationwide. The specific goals and objectives for this project will be outlined, the population and sample for the research will be described, and the instruments utilized for the survey will be explained. A description of the workshop and manual will also be discussed. This report will end with a summary of the results from this project and any observed changes and/or recommendations for future surveys pertaining to energy efficiency.

Laquatra, J.; Chi, P.S.K.

1996-09-01T23:59:59.000Z

365

ASSOCIATED RESIDENTIAL COMMUNITY HOUSING (ARCH) PROGRAM UC San Diego's Associated Residential Community Housing (ARCH) is committed to supporting the academic  

E-Print Network [OSTI]

ASSOCIATED RESIDENTIAL COMMUNITY HOUSING (ARCH) PROGRAM I. MISSION UC San Diego's Associated Residential Community Housing (ARCH) is committed to supporting the academic mission of the university, Associated Residential Community Housing (ARCH) offers campus housing to graduate and professional students

California at San Diego, University of

366

CALIFORNIA ENERGY COMMISSION0 Annual Update to the Forecasted  

E-Print Network [OSTI]

Values in TWh forthe Year2022 Formula Mid Demand Forecast Renewable Net High Demand Forecast Renewable Net Low Demand Forecast Renewable Net #12;CALIFORNIA ENERGY COMMISSION5 Demand Forecast · Retail Sales Forecast from California Energy Demand 2012 2022(CED 2011), Adopted Forecast* ­ Form 1.1c · Demand Forecast

367

Sustainable Energy Resources for Consumers Webinar on Residential...  

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

Publications Sustainable Energy Resources for Consumers (SERC) - GeothermalGround-Source Heat Pumps Residential Retrofit Program Design Guide Overview Transcript.doc Residential...

368

awaiting residential aged: Topics by E-print Network  

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

of human... Willis, Gary 2011-12-16 14 Meeting Residential Ventilation Standards Energy Storage, Conversion and Utilization Websites Summary: LBNL 4591E Meeting Residential...

369

Philadelphia Gas Works- Residential and Small Business Equipment Rebate Program  

Broader source: Energy.gov [DOE]

Philadelphia Gas Works' (PGW) Residential Heating Equipment rebates are available to all PGW residential or small business customers installing high efficiency boilers and furnaces, and...

370

Preliminary/Sample Residential EE Loan Term Sheet and Underwriting...  

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

sample or preliminary term sheet for single family residential energy efficiency loans. Author: Energy Efficiency Finance Corp. PreliminarySample Residential Energy Efficiency...

371

Alliant Energy Interstate Power and Light (Electric) - Residential...  

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

Multi-Family Residential Residential Savings Category Heat Pumps Lighting Program Info State Iowa Program Type Utility Rebate Program Rebate Amount Central Air Conditioners: 100 -...

372

Energy Efficiency Trends in Residential and Commercial Buildings...  

Energy Savers [EERE]

Energy Efficiency Trends in Residential and Commercial Buildings - August 2010 Energy Efficiency Trends in Residential and Commercial Buildings - August 2010 Overview of building...

373

2011 Residential Energy Efficiency Technical Update Meeting Summary...  

Energy Savers [EERE]

2011 Residential Energy Efficiency Technical Update Meeting Summary Report: Denver, Colorado - August 9-11, 2011 2011 Residential Energy Efficiency Technical Update Meeting Summary...

374

Energy Department Announces $5 Million for Residential Building...  

Office of Environmental Management (EM)

Announces 5 Million for Residential Building Energy Efficiency Research and University-Industry Partnerships Energy Department Announces 5 Million for Residential Building Energy...

375

2014-04-11 Issuance: Test Procedures for Residential Clothes...  

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

Test Procedures for Residential Clothes Washers; Notice of Proposed Rulemaking 2014-04-11 Issuance: Test Procedures for Residential Clothes Washers; Notice of Proposed Rulemaking...

376

Colorado Springs Utilities- Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

Colorado Springs Utilities offers a variety of energy and water efficiency incentives to its residential customers through the Residential Rebate Program. Rebates are offered for single and multi...

377

2014-06-25 Issuance: Energy Conservation Standards for Residential...  

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

6-25 Issuance: Energy Conservation Standards for Residential Furnace Fans; Final Rule 2014-06-25 Issuance: Energy Conservation Standards for Residential Furnace Fans; Final Rule...

378

Laclede Gas Company- Residential High Efficiency Heating Rebate Program  

Broader source: Energy.gov [DOE]

Laclede Gas Company offers various rebates to residential customers for investing in energy efficient equipment and appliances. Residential customers can qualify for rebates on boilers, furnaces,...

379

Black Hills Energy (Electric)- Residential Energy Efficiency Program  

Broader source: Energy.gov [DOE]

Black Hills Energy (BHE) offers rebates for residential Colorado customers who purchase energy efficient residential equipment. This program offers rebates for customers who purchase and install...

380

Cape Light Compact- Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

Cape Light Compact (CLC) offers a variety of financial incentives to customers for purchasing energy efficient residential equipment. Residential customers can take advantage of incentives on...

Note: This page contains sample records for the topic "forecasts future residential" 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

El Paso Electric Company- Residential Efficiency Program (New Mexico)  

Broader source: Energy.gov [DOE]

EPE offers incentives to residential customers in its New Mexico service territory that purchase and install high efficiency equipment for residential use. Eligible equipment includes air...

382

Efficient Residential Water Heaters Webinar | Department of Energy  

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

Weatherization Assistance Program Pilot Projects Efficient Residential Water Heaters Webinar Efficient Residential Water Heaters Webinar On Feb. 22, 2011, Jerone Gagliano,...

383

Detroit Public Lighting Department- Residential Energy Wise Program  

Broader source: Energy.gov [DOE]

The Detroit Public Lighting Department (PLD) offers residential customers rebates for energy efficient lights. In addition, low-income residential customers may qualify for free compact fluorescent...

384

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network [OSTI]

Test Procedures for Water Heaters; Kitchen Ranges, Ovens,Use of Residential Water Heaters. Lawrence Berkeley NationalEnergy Use of Residential Water Heaters. Lawrence Berkeley

Wenzel, T.P.

2010-01-01T23:59:59.000Z

385

Urgent Action on Energy Conservation Standards for Residential...  

Energy Savers [EERE]

Urgent Action on Energy Conservation Standards for Residential Water Heaters (Docket Number: EERE-2012-BT-STD-0022) Urgent Action on Energy Conservation Standards for Residential...

386

Sample Residential Program Term Sheet | Department of Energy  

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

Sample Residential Program Term Sheet Sample Residential Program Term Sheet A sample for defining and elaborating on the specifics of a clean energy loan program. Sample...

387

Residential Building Audits and Retrofits | Department of Energy  

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

Residential Building Audits and Retrofits Residential Building Audits and Retrofits Blue version of the EERE PowerPoint template, for use with PowerPoint 2007. Transcript...

388

Break-out Discussion i: Modeling Consumer Behavior Residential...  

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

Break-out Discussion i: Modeling Consumer Behavior Residential Scale Break-out Discussion i: Modeling Consumer Behavior Residential Scale This presentaion summarizes the...

389

Webinar: Residential Energy Code Compliance | Department of Energy  

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

Webinar: Residential Energy Code Compliance Webinar: Residential Energy Code Compliance View the Code Compliance Funding Opportunity video or see the slides below. This webinar...

390

WESLEYAN UNIVERSITY OFFICES OF PHYSICAL PLANT & RESIDENTIAL LIFE  

E-Print Network [OSTI]

WESLEYAN UNIVERSITY OFFICES OF PHYSICAL PLANT & RESIDENTIAL LIFE MURAL REQUEST FORM ***SMALL SCALE SIGNATURE: DATE: APPROVED BY: **Area Coordinator: DATE: Associate Director of Residential Life: DATE

Royer, Dana

391

Residential Windows and Window Coverings: A Detailed View of...  

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

Residential Windows and Window Coverings: A Detailed View of the Installed Base and User Behavior Residential Windows and Window Coverings: A Detailed View of the Installed Base...

392

AVTA: ARRA EV Project Residential Charging Infrastructure Maps...  

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

Residential Charging Infrastructure Maps AVTA: ARRA EV Project Residential Charging Infrastructure Maps The Vehicle Technologies Office's Advanced Vehicle Testing Activity carries...

393

Presentation Slides: Solar Finance for Residential and Commercial...  

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

Presentation Slides: Solar Finance for Residential and Commercial Customers and Potential Roles of State and Local Government Presentation Slides: Solar Finance for Residential and...

394

Financing Residential Energy Efficiency with Carbon Offsets Transcript...  

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

Residential Energy Efficiency with Carbon Offsets Transcript Financing Residential Energy Efficiency with Carbon Offsets Transcript This document contains the transcript for the...

395

Nonresidential Construction: Past, Present, and Future  

E-Print Network [OSTI]

Nonresidential Construction: Past, Present, and Future James Wood, Director Over the past 15 years permit-authorized nonresidential construction in Utah has averaged $1.54 billion per year (in constant 2009 dollars); almost exactly half of the $3.16 billion average for residential construction.1

396

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

397

AVTA: ARRA EV Project Residential Charging Infrastructure Maps  

Broader source: Energy.gov [DOE]

The Vehicle Technologies Office's Advanced Vehicle Testing Activity carries out testing on a wide range of advanced vehicles and technologies on dynamometers, closed test tracks, and on-the-road. These results provide benchmark data that researchers can use to develop technology models and guide future research and development. The American Recovery and Reinvestment Act supported a number of projects that together made up the largest ever deployment of plug-in electric vehicles and charging infrastructure in the U.S. The following maps describe where the EV Project deployed thousands of residential chargers.

398

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...

399

FINAL DEMAND FORECAST FORMS AND INSTRUCTIONS FOR THE 2007  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION FINAL DEMAND FORECAST FORMS AND INSTRUCTIONS FOR THE 2007 INTEGRATED Table of Contents General Instructions for Demand Forecast Submittals.............................................................................. 4 Protocols for Submitted Demand Forecasts

400

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

Note: This page contains sample records for the topic "forecasts future residential" 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

U.S. Department of Energy Workshop Report: Solar Resources and Forecasting  

SciTech Connect (OSTI)

This report summarizes the technical presentations, outlines the core research recommendations, and augments the information of the Solar Resources and Forecasting Workshop held June 20-22, 2011, in Golden, Colorado. The workshop brought together notable specialists in atmospheric science, solar resource assessment, solar energy conversion, and various stakeholders from industry and academia to review recent developments and provide input for planning future research in solar resource characterization, including measurement, modeling, and forecasting.

Stoffel, T.

2012-06-01T23:59:59.000Z

402

SIMULATION OF RESIDENTIAL HVAC SYSTEM PERFORMANCE  

E-Print Network [OSTI]

1 LBNL-47622 SIMULATION OF RESIDENTIAL HVAC SYSTEM PERFORMANCE Walker, I., Siegel, J ..................................................... 9 #12;3 ABSTRACT In many parts of North America residential HVAC systems are installed outside of the simulations is that they are dynamic - which accounts for cyclic losses from the HVAC system and the effect

403

Tips For Residential Heating Oil Tank Owners  

E-Print Network [OSTI]

· · · · · · · · · · · · · · · · · · · · · · Tips For Residential Heating Oil Tank Owners Source: DEP Fact Sheet Residential heating oil tanks are used to store fuel for furnaces or boilers to heat homes. The tanks can either be aboveground tanks, normally located in basements or utility rooms

Maroncelli, Mark

404

Ozone Reductions Using Residential Building Envelopes  

SciTech Connect (OSTI)

Ozone is an air pollutant with that can have significant health effects and a significant source of ozone in some regions of California is outdoor air. Because people spend the vast majority of their time indoors, reduction in indoor levels of ozone could lead to improved health for many California residents. Ozone is removed from indoor air by surface reactions and can also be filtered by building envelopes. The magnitude of the envelope impact depends on the specific building materials that the air flows over and the geometry of the air flow paths through the envelope that can be changes by mechanical ventilation operation. The 2008 Residential Building Standards in California include minimum requirements for mechanical ventilation by referencing ASHRAE Standard 62.2. This study examines the changes in indoor ozone depending on the mechanical ventilation system selected to meet these requirements. This study used detailed simulations of ventilation in a house to examine the impacts of different ventilation systems on indoor ozone concentrations. The simulation results showed that staying indoors reduces exposure to ozone by 80percent to 90percent, that exhaust ventilation systems lead to lower indoor ozone concentrations, that opening of windows should be avoided at times of high outdoor ozone, and that changing the time at which mechanical ventilation occurs has the ability to halve exposure to ozone. Future work should focus on the products of ozone reactions in the building envelope and the fate of these products with respect to indoor exposures.

Walker, Iain S.; Sherman, Max; Nazaroff, William W.

2009-02-01T23:59:59.000Z

405

Chapter 17: Residential Behavior Protocol  

SciTech Connect (OSTI)

Residential behavior-based (BB) programs use strategies grounded in the behavioral social sciences to influence household energy use. Strategies may include providing households with real-time or delayed feedback about their energy use; supplying energy-efficiency education and tips; rewarding households for reducing their energy use; comparing households to their peers; and establishing games, tournaments, and competitions. BB programs often target multiple energy end uses and encourage energy savings, demand savings, or both. Savings from BB programs are usually a small percentage of energy use, typically less than 5%.

Stewart, J.; Todd, A.

2015-01-01T23:59:59.000Z

406

NREL: Buildings Research - Residential Capabilities  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the Contributions and Achievements of WomenEvents Below are upcoming eventsResidential

407

A Cosmology Forecast Toolkit -- CosmoLib  

E-Print Network [OSTI]

The package CosmoLib is a combination of a cosmological Boltzmann code and a simulation toolkit to forecast the constraints on cosmological parameters from future observations. In this paper we describe the released linear-order part of the package. We discuss the stability and performance of the Boltzmann code. This is written in Newtonian gauge and including dark energy perturbations. In CosmoLib the integrator that computes the CMB angular power spectrum is optimized for a $\\ell$-by-$\\ell$ brute-force integration, which is useful for studying inflationary models predicting sharp features in the primordial power spectrum of metric fluctuations. The numerical code and its documentation are available at http://www.cita.utoronto.ca/~zqhuang/CosmoLib.

Zhiqi Huang

2012-06-11T23:59:59.000Z

408

Vision 2020 |LSU Residential Colleges Program Vision 2020  

E-Print Network [OSTI]

Vision 2020 |LSU Residential Colleges Program Vision 2020 Residential Colleges Program Department of Residential Life Louisiana State University Strategic Plan 24 November 2011 Robert V. Rohli Faculty Director #12;Vision 2020 | LSU Residential Colleges Program 11.24.2011 Page | - 2 - Mission Statement MISSION

Harms, Kyle E.

409

Bryant Residential Scholarships This Scholarship is not currently  

E-Print Network [OSTI]

Bryant Residential Scholarships 1 This Scholarship is not currently open as the regulations have;Bryant Residential Scholarships 2 BRYANT RESIDENTIAL SCHOLARSHIPS REGULATIONS FOR 2013 BACKGROUND The D, Bryant Hall has provided a supportive residential environment for first-year students and has also

Waikato, University of

410

Energy Efficiency & On-Bill Financing for Samll Business & Residential  

Office of Energy Efficiency and Renewable Energy (EERE)

Details on Connecticut Energy Efficiency Fund and its benefits to small businesses and residential customers.

411

Residential ventilation standards scoping study  

SciTech Connect (OSTI)

The goals of this scoping study are to identify research needed to develop improved ventilation standards for California's Title 24 Building Energy Efficiency Standards. The 2008 Title 24 Standards are the primary target for the outcome of this research, but this scoping study is not limited to that timeframe. We prepared this scoping study to provide the California Energy Commission with broad and flexible options for developing a research plan to advance the standards. This document presents the findings of a scoping study commissioned by the Public Interest Energy Research (PIER) program of the California Energy Commission to determine what research is necessary to develop new residential ventilation requirements for California. This study is one of three companion efforts needed to complete the job of determining the ventilation needs of California residences, determining the bases for setting residential ventilation requirements, and determining appropriate ventilation technologies to meet these needs and requirements in an energy efficient manner. Rather than providing research results, this scoping study identifies important research questions along with the level of effort necessary to address these questions and the costs, risks, and benefits of pursuing alternative research questions. In approaching these questions and corresponding levels of effort, feasibility and timing were important considerations. The Commission has specified Summer 2005 as the latest date for completing this research in time to update the 2008 version of California's Energy Code (Title 24).

McKone, Thomas E.; Sherman, Max H.

2003-10-01T23:59:59.000Z

412

DAYLIGHTING METRICS FOR RESIDENTIAL BUILDINGS  

E-Print Network [OSTI]

It is now widely accepted that the standard method for daylighting evaluation- the daylight factor- is due for replacement with metrics founded on absolute values for luminous quantities predicted over the course of a full year using sun and sky conditions derived from standardised climate files. The move to more realistic measures of daylighting introduces significant levels of additional complexity in both the simulation of the luminous quantities and the reduction of the simulation data to readily intelligible metrics. The simulation component, at least for buildings with standard glazing materials, is reasonably well understood. There is no consensus however on the composition of the metrics, and their formulation is an ongoing area of active research. Additionally, non-domestic and residential buildings present very different evaluation scenarios and it is not yet clear if a single metric would be applicable to both. This study uses a domestic dwelling as the setting to investigate and explore the applicability of daylighting metrics for residential buildings. In addition to daylighting provision for task and disclosing the potential for reducing electric lighting usage, we also investigate the formulation of metrics for non-visual effects such as entrainment of the circadian system.

unknown authors

413

Aggregate vehicle travel forecasting model  

SciTech Connect (OSTI)

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

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

1995-05-01T23:59:59.000Z

414

Management forecast credibility and underreaction to news  

E-Print Network [OSTI]

In this paper, we first document evidence of underreaction to management forecast news. We then hypothesize that the credibility of the forecast influences the magnitude of this underreaction. Relying on evidence that more ...

Ng, Jeffrey

415

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

416

Weather forecast-based optimization of integrated energy systems.  

SciTech Connect (OSTI)

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

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

2009-03-01T23:59:59.000Z

417

Improving week two forecasts with multi-model re-forecast ensembles  

E-Print Network [OSTI]

Improving week two forecasts with multi-model re-forecast ensembles Jeffrey S. Whitaker and Xue Wei NOAA-CIRES Climate Diagnostics Center, Boulder, CO Fr´ed´eric Vitart Seasonal Forecasting Group, ECMWF dataset of ensemble 're-forecasts' from a single model can significantly improve the skill

Whitaker, Jeffrey S.

418

Economics of residential gas furnaces and water heaters in United States new construction market  

E-Print Network [OSTI]

Experiences of residential consumers and utilities. OakStar (2008). Energy Star Residential Water Heaters: Finalefficiency improvements for residential gas furnaces in the

Lekov, Alex B.

2010-01-01T23:59:59.000Z

419

Violent Crime, Residential Instability and Mobility: Does the Relationship Differ in Minority Neighborhoods?  

E-Print Network [OSTI]

PAPER Violent Crime, Residential Instability and Mobility:violent crime and residential stability in neighborhoods. Wea traditional index of residential stability and a novel

Boggess, Lyndsay N.; Hipp, John R.

2010-01-01T23:59:59.000Z

420

Economics of residential gas furnaces and water heaters in US new construction market  

E-Print Network [OSTI]

appliance_standards/residential/water_ pool_heaters_prelim_Star (2008). Energy star residential water heaters: Finalefficiency improvements for residential gas furnaces in the

Lekov, Alex B.; Franco, Victor H.; Wong-Parodi, Gabrielle; McMahon, James E.; Chan, Peter

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasts future residential" 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

Shaking Up the Residential PV Market: Implications of Recent Changes to the ITC  

E-Print Network [OSTI]

E NERGY Shaking Up the Residential PV Market: Implicationsthe Revised Residential Credit ..ITC (capped at $2,000) for residential solar systems. Both

Bolinger, Mark

2008-01-01T23:59:59.000Z

422

The impact of residential density on vehicle usage and fuel consumption  

E-Print Network [OSTI]

characteristics on household residential choice and auto2009. The impact of residential density on vehicle usage and2010-05) The impact of residential density on vehicle usage

Kim, Jinwon; Brownstone, David

2010-01-01T23:59:59.000Z

423

Strategies for Low Carbon Growth In India: Industry and Non Residential Sectors  

E-Print Network [OSTI]

Efficiency Scenario (non-residential sector only) AssumesIndia: Industry and Non Residential Sectors Jayant Sathaye,and support. The Non Residential sector analysis benefited

Sathaye, Jayant

2011-01-01T23:59:59.000Z

424

Residential mobility and location choice: a nested logit model with sampling of alternatives  

E-Print Network [OSTI]

Waddell, P. : Modeling residential location in UrbanSim. In:D. (eds. ) Modelling Residential Location Choice. Springer,based model system and a residential location model. Urban

Lee, Brian H.; Waddell, Paul

2010-01-01T23:59:59.000Z

425

Country Review of Energy-Efficiency Financial Incentives in the Residential Sector  

E-Print Network [OSTI]

Financial Incentives in the Residential Sector Stephane deFinancial Incentives in the Residential Sector Stephane desavings achieved in the residential sector. In contrast,

Can, Stephane de la Rue du

2011-01-01T23:59:59.000Z

426

Optimizing Energy Savings from Direct-DC in U.S. Residential Buildings  

E-Print Network [OSTI]

average residential electricity consumption by end-use inaverage residential electricity consumption by end-use inU.S. residential electricity consumption for 2010 for 32

Garbesi, Karina

2012-01-01T23:59:59.000Z

427

Quantifying the Effect of the Principal-Agent Problem on US Residential Energy Use  

E-Print Network [OSTI]

of the Residential Water Heater Market in the Northwest. Residential Water Heaters. http://www.eere.energy.gov/for Residential Water Heaters, Final Letter. http://

Murtishaw, Scott; Sathaye, Jayant

2006-01-01T23:59:59.000Z

428

5, 183218, 2008 A rainfall forecast  

E-Print Network [OSTI]

HESSD 5, 183­218, 2008 A rainfall forecast model using Artificial Neural Network N. Q. Hung et al An artificial neural network model for rainfall forecasting in Bangkok, Thailand N. Q. Hung, M. S. Babel, S Geosciences Union. 183 #12;HESSD 5, 183­218, 2008 A rainfall forecast model using Artificial Neural Network N

Paris-Sud XI, Université de

429

Ensemble Forecast of Analyses With Uncertainty Estimation  

E-Print Network [OSTI]

Ensemble Forecast of Analyses With Uncertainty Estimation Vivien Mallet1,2, Gilles Stoltz3 2012 Mallet, Stoltz, Zhuk, Nakonechniy Ensemble Forecast of Analyses November 2012 1 / 14 hal-00947755,version1-21Feb2014 #12;Objective To produce the best forecast of a model state using a data assimilation

Boyer, Edmond

430

(1) Ensemble forecast calibration & (2) using reforecasts  

E-Print Network [OSTI]

1 (1) Ensemble forecast calibration & (2) using reforecasts Tom Hamill NOAA Earth System Research · Calibration: ; the statistical adjustment of the (ensemble) forecast ­ Rationale 1: Infer large-sample probabilities from small ensemble. ­ Rationale 2: Remove bias, increase forecast reliability while preserving

Hamill, Tom

431

Load forecast and treatment of conservation  

E-Print Network [OSTI]

conservation is implicitly incorporated in the short-term demand forecast? #12;3 Incorporating conservationLoad forecast and treatment of conservation July 28th 2010 Resource Adequacy Technical Committee in the short-term model Our short-term model is an econometric model which can not explicitly forecast

432

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST Volume 1: Statewide Electricity forecast is the combined product of the hard work and expertise of numerous staff members in the Demand prepared the peak demand forecast. Ravinderpal Vaid provided the projections of commercial floor space

433

FINAL STAFF FORECAST OF 2008 PEAK DEMAND  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION FINAL STAFF FORECAST OF 2008 PEAK DEMAND STAFFREPORT June 2007 CEC-200 of the information in this paper. #12;Abstract This document describes staff's final forecast of 2008 peak demand demand forecasts for the respective territories of the state's three investor-owned utilities (IOUs

434

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

435

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

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office of Audit|Department of Energy56Executive Summit onTransforming

436

Residential  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A B C D EHistorical Resources

437

Residential  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared atEffect ofNational Laboratory This bar N coarse grained, s

438

Japan's Residential Energy Demand Outlook to 2030 Considering Energy Efficiency Standards"Top-Runner Approach"  

SciTech Connect (OSTI)

As one of the measures to achieve the reduction in greenhouse gas emissions agreed to in the"Kyoto Protocol," an institutional scheme for determining energy efficiency standards for energy-consuming appliances, called the"Top-Runner Approach," was developed by the Japanese government. Its goal is to strengthen the legal underpinnings of various energy conservation measures. Particularly in Japan's residential sector, where energy demand has grown vigorously so far, this efficiency standard is expected to play a key role in mitigating both energy demand growth and the associated CO2 emissions. This paper presents an outlook of Japan's residential energy demand, developed by a stochastic econometric model for the purpose of analyzing the impacts of the Japan's energy efficiency standards, as well as the future stochastic behavior of income growth, demography, energy prices, and climate on the future energy demand growth to 2030. In this analysis, we attempt to explicitly take into consideration more than 30 kinds of electricity uses, heating, cooling and hot water appliances in order to comprehensively capture the progress of energy efficiency in residential energy end-use equipment. Since electricity demand, is projected to exhibit astonishing growth in Japan's residential sector due to universal increasing ownership of electric and other appliances, it is important to implement an elaborate efficiency standards policy for these appliances.

Lacommare, Kristina S H; Komiyama, Ryoichi; Marnay, Chris

2008-05-15T23:59:59.000Z

439

ELECTRICITY DEMAND FORECAST COMPARISON REPORT  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION ELECTRICITY DEMAND FORECAST COMPARISON REPORT STAFFREPORT June 2005 Gorin Principal Authors Lynn Marshall Project Manager Kae C. Lewis Acting Manager Demand Analysis Office Valerie T. Hall Deputy Director Energy Efficiency and Demand Analysis Division Scott W. Matthews Acting

440

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

Note: This page contains sample records for the topic "forecasts future residential" 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

Residential solar home resale analysis  

SciTech Connect (OSTI)

One of the determinants of the market acceptance of solar technologies in the residential housing sector is the value placed upon the solar property at the time of resale. The resale factor is shown to be an important economic parameter when net benefits of the solar design are considered over a typical ownership cycle rather than the life cycle of the system. Although a study of solar resale in Davis, Ca, indicates that those particular homes have been appreciating in value faster than nonsolar market comparables, no study has been made that would confirm this conclusion for markets in other geograhical locations with supporting tests of statistical significance. The data to undertake such an analysis is available through numerous local sources; however, case by case data collection is prohibitively expensive. A recommended alternative approach is to make use of real estate market data firms who compile large data bases and provide multi-variate statistical analysis packages.

Noll, S.A.

1980-01-01T23:59:59.000Z

442

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

SciTech Connect (OSTI)

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

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

2013-11-01T23:59:59.000Z

443

Turkish residential real estate investment analysis  

E-Print Network [OSTI]

This paper examines the investment potential for Turkish Residential Real Estate Market, focusing mainly on Istanbul. With a stable economy since 2002, dynamic population, geo-political location and the potential accession ...

Ciller, Berk (Berk U.)

2007-01-01T23:59:59.000Z

444

,"New Mexico Natural Gas Residential Consumption (MMcf)"  

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

,,"(202) 586-8800",,,"3292015 10:01:29 PM" "Back to Contents","Data 1: New Mexico Natural Gas Residential Consumption (MMcf)" "Sourcekey","N3010NM2" "Date","New...

445

Piedmont Natural Gas- Residential Equipment Efficiency Program  

Broader source: Energy.gov [DOE]

Piedmont Natural Gas offers rebates on high-efficiency natural gas tankless water heaters, tank water heaters and furnaces. Customers on the 101-Residential Service rate are eligible for these...

446

Stronger Manufacturers' Energy Efficiency Standards for Residential...  

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

2006 - 11:09am Addthis WASHINGTON, DC -- To increase the energy efficiency of residential air conditioners, the U.S. Department of Energy (DOE) has issued new manufacturing...

447

,"New York Natural Gas Residential Consumption (MMcf)"  

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

,,"(202) 586-8800",,,"182015 12:45:53 PM" "Back to Contents","Data 1: New York Natural Gas Residential Consumption (MMcf)" "Sourcekey","N3010NY2" "Date","New...

448

Property Tax Exemption for Residential Solar Systems  

Broader source: Energy.gov [DOE]

[http://www.nmlegis.gov/Sessions/10%20Regular/final/HB0233.pdf HB 233 of 2010] exempted residential solar energy systems from property tax assessments. According to state law, for the purposes of...

449

CPS Energy- New Residential Construction Incentives  

Broader source: Energy.gov [DOE]

CPS Energy offers incentives for new residential construction that is at least 15% more efficient than required by the [http://dsireusa.org/incentives/incentive.cfm?Incentive_Code=TX29R&re=1...

450

Cedar Falls Utilities- Residential New Construction Program  

Broader source: Energy.gov [DOE]

Cedar Falls Utilities offers incentives to residential customers who construct new energy efficient homes. A rate discount of 25% is available to customers who meet the 5 Star Home Program criteria...

451

Xcel Energy- Residential Energy Efficiency Rebate Programs  

Broader source: Energy.gov [DOE]

In addition to home energy audits, Xcel Energy offers rebates to North Dakota residential customers for the purchase of energy efficient heating and water heating technologies. Xcel offers rebates...

452

Austin Energy- Residential Solar PV Rebate Program  

Broader source: Energy.gov [DOE]

Austin Energy's Solar Rebate Program offers a $1.50 per watt incentive to eligible residential who install photovoltaic (PV) systems on their homes. Rebates are limited to $15,000 per home...

453

Addressing endogeneity in residential location models  

E-Print Network [OSTI]

Some empirical residential location choice models have reported dwelling-unit price estimated parameters that are small, not statistically significant, or even positive. This would imply that households are non-sensitive ...

Guevara-Cue, Cristin Angelo

2005-01-01T23:59:59.000Z

454

LBNL -47412 Residential Commissioning to Assess  

E-Print Network [OSTI]

LBNL - 47412 Residential Commissioning to Assess Envelope and HVAC System Performance1 Craig P Scientist and Group Leader at LBNL in its Energy Performance of Buildings Group. #12;i TABLE OF CONTENTS

455

May 1999 LBNL -42975 ASHRAE'S RESIDENTIAL VENTILATION  

E-Print Network [OSTI]

May 1999 LBNL - 42975 ASHRAE'S RESIDENTIAL VENTILATION STANDARD: EXEGESIS OF PROPOSED STANDARD 62 standard. 1 Max Sherman is a Senior Scientist at LBNL and the group leader of its Energy Performance

456

SMUD- PV Residential Retrofit Buy-Down  

Broader source: Energy.gov [DOE]

SMUD offers an incentive of $0.20 per watt (W) AC to residential customers who install grid-connected photovoltaic (PV) systems. Customers do not have to contract directly with SMUD-approved...

457

Oklahoma Natural Gas- Residential Efficiency Rebates (Oklahoma)  

Broader source: Energy.gov [DOE]

To encourage customers to install high-efficiency natural gas equipment in homes, Oklahoma Natural Gas offers rebates to residential customers and builders for furnace, water heating, or space...

458

Spatial and Temporal Dynamics: Residential Development Process  

E-Print Network [OSTI]

to examine neighborhood and residential development patterns and investigate dynamic processes in northwest Harris County, Texas, along the U.S. Highway 290 transportation corridor from 1945 to 2006. Researchers have identified different patterns of land...

Park, Joung Im

2012-02-14T23:59:59.000Z

459

Kirkwood Electric- Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

Kirkwood Electric offers rebates to its residential customers who install energy-efficient heat pumps and electric hot water heaters in their new and existing homes. Customers will be given a...

460

Kentucky Power- Residential Efficient HVAC Rebate Program  

Broader source: Energy.gov [DOE]

Kentucky Power's High Efficiency Heat Pump Program offers a $400 rebate to residential customers living in existing (site-built) homes who upgrade electric resistance heating systems with a new,...

Note: This page contains sample records for the topic "forecasts future residential" 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

Connexus Energy- Residential Efficient HVAC Rebate Program  

Broader source: Energy.gov [DOE]

Connexus Energy offers rebates for residential customers to improve the energy efficiency of homes. Rebates are available for air source heat pumps, ductless heat pumps and ground-source heat pumps...

462

Modeling of Residential Attics with Radiant Barriers  

E-Print Network [OSTI]

This paper gives a summary of the efforts at ORNL in modeling residential attics with radiant barriers. Analytical models based on a system of macroscopic heat balances have been developed. Separate models have been developed for horizontal radiant...

Wilkes, K. E.

1988-01-01T23:59:59.000Z

463

Cowlitz County PUD- Residential Weatherization Plus Program  

Broader source: Energy.gov [DOE]

Cowlitz County PUD offers an incentive to residential customers who weatherize their homes. Eligible residences can be either site-built or manufactured homes, but must have a permanently installed...

464

Chicopee Electric Light- Residential Solar Rebate Program  

Broader source: Energy.gov [DOE]

Chicopee Electric Light offered rebates to residential customers who install solar photovoltaic systems on their homes. Customer rebates are $0.50 per watt for a maximum of $2,500 per installation.

465

Clark Energy- Residential Energy Efficiency Rebate Programs  

Broader source: Energy.gov [DOE]

Clark Energy offers a free energy audit to provide residential customers with suggestions on ways to improve the energy efficiency of participating homes. Rebates are available for customers who...

466

Lakeland Electric- Residential Conservation Rebate Program  

Broader source: Energy.gov [DOE]

Lakeland Electric offers a conservation program for residential customers to save energy in homes. Rebates are available for Heat Pumps, HVAC tune-ups, attic insulation upgrades, and Energy Star...

467

Evaluation of evolving residential electricity tariffs  

E-Print Network [OSTI]

its residential customers to Smart Meters and laying theencountered with its Smart Meter roll out, and evaluates the3 of 7 The introduction of Smart Meters One of the necessary

Lai, Judy

2011-01-01T23:59:59.000Z

468

Lumbee River EMC- Residential Weatherization Loan Program  

Broader source: Energy.gov [DOE]

Lumbee River Electric Membership Corporation (LREMC) offers low interest loans to help its residential members increase the energy efficiency of their homes. Loans up to $10,000 are available for...

469

New Mexico Gas Company- Residential Efficiency Programs  

Broader source: Energy.gov [DOE]

The New Mexico Gas Company provides incentives for energy saving measures and improvements to residential homes. Rebates are available for adding insulation and for homes which attain Energy Star...

470

SCE- Non-Residential Energy Efficiency Programs  

Broader source: Energy.gov [DOE]

Southern California Edison (SCE) offers incentives for non-residential customers, regardless of size and energy usage. [http://asset.sce.com/Documents/Business%20-%20Energy%20Management%20Solu......

471

Residential photovoltaic worth : a summary assessment  

E-Print Network [OSTI]

Two critical perspectives have been addressed by the analyses of residential photovoltaic worth. For the researcher and designer have been established allowable costs. For the homeowner and institutional decision-makers ...

Dinwoodie, Thomas L.

1982-01-01T23:59:59.000Z

472

Unitil (Gas)- Residential Energy Efficiency Programs  

Broader source: Energy.gov [DOE]

Unitil offers its New Hampshire residential customers a number of programs to encourage more energy efficient homes. The Home Performance with Energy Star Program can help to improve the energy...

473

EWEB- Residential Solar Water Heating Loan Program  

Broader source: Energy.gov [DOE]

Eugene Water and Electric Board (EWEB) offers residential customers a loan and cash discount program called, "The Bright Way To Heat Water." The program is designed to promote the installation of...

474

Solar Energy Option Requirement for Residential Developments  

Broader source: Energy.gov [DOE]

In March 2009 New Jersey enacted legislation ([http://www.njleg.state.nj.us/2008/Bills/PL09/33_.PDF A.B. 1558]) designed to support the integration of solar energy systems into new residential...

475

Berkshire Gas- Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

Berkshire Gas offers all commercial customers various energy efficiency rebates. Berkshire Gas will pay residential customers that use gas to heat their homes 75% of the installed cost (up to $2...

476

Residential Refrigerator Recycling Ninth Year Retention Study  

E-Print Network [OSTI]

Residential Refrigerator Recycling Ninth Year Retention Study Study ID Nos. 546B, 563 Prepared RECYCLING PROGRAMS Study ID Nos. 546B and 563 Prepared for Southern California Edison Rosemead, California

477

The College Station Residential Energy Compliance Code  

E-Print Network [OSTI]

The City of College Station, Texas adopted a new residential Energy Compliance Code in January, 1988. The code, which strengthens compliance requirements in several areas, has received broadly based support and acceptance from all major constituent...

Claridge, D. E.; Schrock, D.

1988-01-01T23:59:59.000Z

478

Asian residential segregation in Houston, Texas  

E-Print Network [OSTI]

and Asians as it did previously for European immigrant groups, but does not apply to African Americans. 6 Previous research on Asian residential segregation has mostly focused on the broad racial category of the Asian population instead...

Yoon, Bo Hee

2009-06-02T23:59:59.000Z

479

Austin Energy- Residential Solar Loan Program (Texas)  

Broader source: Energy.gov [DOE]

Austin Energy offers two types of loans for residential customers to finance solar water heater and and solar PV systems in eligible homes. [http://www.austinenergy.com/Energy%20Efficiency/Programs...

480

Residential Alternative Energy System Tax Credit  

Broader source: Energy.gov [DOE]

Residential taxpayers who install an energy system using a recognized non-fossil form of energy on their home after December 31, 2001 are eligible for a tax credit equal to the amount of the cost...

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


481

Residential Wood Heating Fuel Exemption (New York)  

Broader source: Energy.gov [DOE]

New York exempts retail sales of wood used for residential heating purposes from the state sales tax. The law also permits local governments (municipalities and counties) to grant an exemption from...

482

Rating of Mixed Split Residential Air Conditioners  

E-Print Network [OSTI]

A methodology is presented for rating the performance of mixed, split residential air conditioners. The method accounts for the impact on system performance of the indoor evaporator, expansion device and fan; three major components that are likely...

Domanski, P. A.

1988-01-01T23:59:59.000Z

483

PNM- Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

PNM offers incentives for residential customers to improve the efficiency of eligible homes. PNM will provide a $50 rebate for the proper recycling of old refrigerators or freezers. Customers who...

484

Choosing an electrical energy future for the Pacific Northwest: an Alternative Scenario  

SciTech Connect (OSTI)

An Alternative Scenario for the electric energy future of the Pacific Northwest is presented. The Scenario includes an analysis of each major end use of electricity in the residential, commercial, manufacturing, and agricultural sectors. This approach affords the most direct means of projecting the likely long-term growth in consumption and the opportunities for increasing the efficiency with which electricity is used in each instance. The total demand for electricity by these end uses then provides a basis for determining whether additional central station generation is required to 1995. A projection of total demand for electricity depends on the combination of many independent variables and assumptions. Thus, the approach is a resilient one; no single assumption or set of linked assumptions dominates the analysis. End-use analysis allows policymakers to visualize the benefits of alternative programs, and to make comparison with the findings of other studies. It differs from the traditional load forecasts for the Pacific Northwest, which until recently were based largely on straightforward extrapolations of historical trends in the growth of electrical demand. The Scenario addresses the supply potential of alternative energy sources. Data are compiled for 1975, 1985, and 1995 in each end-use sector.

Cavanagh, R.C.; Mott, L.; Beers, J.R.; Lash, T.L.

1980-08-01T23:59:59.000Z

485

Forecasting Distributions with Experts Advice  

E-Print Network [OSTI]

) is the probability forecast based on an arbitrary vector wE in the unit simplex, experts forecasts ?E , and model {p?} . Remark 2 In most cases, we can choose c = 1/?, implying in the result below that c? = 1. Example 3 The prediction function is a mixture... 0 = 1, and #IT (k) = tk+1 ? tk. Define ek ? E. Theorem 12 Under Conditions 1 and 7, R1,...,t (pW ) ? c? K? k=0 Rt(k),...,t(k+1)?1 ( p?(e(k)) ) + c ln (#E) ?c K? k=1 ln ut(k) (ek, ek?1)? c K? k=0 t(k+1)?2? s=t(k) ln (us+1 (ek, ek)) . 9 Remark 13...

Sancetta, Alessio

2006-03-14T23:59:59.000Z

486

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

487

Detailed cost estimate of reference residential photovoltaic designs  

SciTech Connect (OSTI)

This report presents estimated installation costs for four reference residential photovoltaic designs. Installation cost estimates ranged from $1.28 to $2.12/W/sub p/ for arrays installed by union labor (4.1 to 6.07 kW/sub p/-systems), and from $1.22 to $1.83 W/sub p/ for non-union installations. Standoff mounting was found to increase costs from $1.63/W/sub p/ to $2.12/W/sub p/ for a representative case, whereas 25 kWh of battery storage capacity increased installation costs from $1.44/W/sub p/ to $2.08/W/sub p/. Overall system costs (union-based were $6000 to $7000 for a 4.1 kW array in the northeast, to approx. $9000 for a 6.07 kW/sub p/ array in the southwest. This range of installation costs, approx. $1 to $2/W/sub p/ (in 1980 dollars), is representative of current installation costs for residential PV systems. Any future cost reductions are likely to be small and can be accomplished only by optimization of mounting techniques, module efficiencies, and module reliability in toto.

Palmer, R.S.; Penasa, D.A.; Thomas, M.G.

1983-04-01T23:59:59.000Z

488

Forecast Energy | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating Solar Power Basics (TheEtelligence (SmartHome Kyoung's pictureFlintFlowerForecast

489

The 1986 residential occupant survey  

SciTech Connect (OSTI)

In 1986, Pacific Northwest Laboratory developed the Residential Occupant Survey-Spring '86, which was implemented. The overall purpose of the study was to collect demographic, attitudinal, and behavioral data related to the use and conservation of electricity in dwellings participating in the Bonneville Power Administration's End-Use Load and Conservation Assessment Program (ELCAP). Information was collected on the respondents' perceptions of the energy efficiency of their dwelling, temperature the dwelling was kept when people were at home and awake during the last heating season, which rooms, if any, were not heated during the last heating season, number of times the dwelling was unoccupied for at least one week, number of times pets were let out of the dwelling per day, attitudes toward energy use and conservation and several socio-demographic variables such as age, sex, and total household income. The results of the data analyses showed age to be an important factor for reported indoor temperature and perceived energy efficiency of the dwelling. The results also showed that almost 60% of the ELCAP occupants do not heat one or more rooms during the heating season, and almost 45% of the ELCAP dwellings were unoccupied for at least one week during the reporting period. In terms of the reported allocation of household income for household energy expenses, the results showed that the reported dollar amount spent for the expenses remained relatively constant over income levels.

Ivey, D.L.; Alley, P.K.

1987-04-01T23:59:59.000Z

490

Residential gas-fired sorption heat Test and technology evaluation  

E-Print Network [OSTI]

..........................................................................................10 1.3.2 Adsorption heat pumpsResidential gas-fired sorption heat pumps Test and technology evaluation Energiforskningsprogram EFP05 Journal nr: 33031-0054 December 2008 #12;Residential gas-fired sorption heat pumps Test

491

Interventions into old residential quarters : the case of Shahjahanabad  

E-Print Network [OSTI]

The thesis develops design guidelines for interventions into residential quarters of the old core cities in the Third World. Their purpose is to provide a suitable framework for developing residential designs maintaining ...

Badshah, Akhtar

1983-01-01T23:59:59.000Z

492

Lane Electric Cooperative- Residential and Commercial Weatherization Grant Program  

Broader source: Energy.gov [DOE]

Lane Electric Cooperative offers energy efficient Weatherization Grant Programs to Lane Electric residential and commercial members: a residential cash grant for 25% of measure costs up to $1,000,...

493

Solar access of residential rooftops in four California cities  

E-Print Network [OSTI]

H. Akbari. Shade trees reduce building energy use and CO 2uence of tree shading on residential energy use for heatingestimates of tree-shade e?ects on residential energy use.

Levinson, Ronnen

2010-01-01T23:59:59.000Z

494

MidAmerican Energy (Gas)- Residential Energy Efficiency Rebate Programs  

Broader source: Energy.gov [DOE]

MidAmerican Energy offers a variety of incentives for residential customers to improve the energy efficiency of eligible homes. The Residential Equipment Brochure on the program web site above...

495

MidAmerican Energy (Electric)- Residential Energy Efficiency Rebate Programs  

Broader source: Energy.gov [DOE]

MidAmerican Energy offers a variety of incentives for residential customers to improve the energy efficiency of eligible homes. The Residential Equipment Brochure on the program web site above...

496

DOE Publishes Final Rule for Residential Furnace Fan Test Procedure...  

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

Residential Furnace Fan Test Procedure DOE Publishes Final Rule for Residential Furnace Fan Test Procedure January 3, 2014 - 12:00am Addthis The Department of Energy (DOE) has...

497

Residential Blink Charging Units Reporting Data in The EV Project  

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

500 62.5 Miles Idaho National Laboratory 812013 INLMIS-12-26074 All EV Project residential charging units are AC Level 2. Residential Blink Charging Units Reporting Data in...

498

Department of Residential Facilities Facilities Student Employment Office  

E-Print Network [OSTI]

Department of Residential Facilities Facilities Student Employment Office 1205E Leonardtown Service Updated 3/09 #12;EMPLOYMENT HISTORY Have you worked for Residential Facilities before? Yes No If so list

Hill, Wendell T.

499

Networking Call for Residential Network Members Peer Exchange...  

Office of Environmental Management (EM)

Networking Call for Residential Network Members Peer Exchange Call Networking Call for Residential Network Members Peer Exchange Call March 12, 2015 12:30PM to 2:00PM EDT...

500

Residential Blink Charging Units Reporting Data in The EV Project  

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

62.5 Miles Idaho National Laboratory 10162012 INLMIS-12-26074 All EV Project residential charging units are AC Level 2. Residential Blink Charging Units Reporting Data in...