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U.S. Department of Energy
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Residential demand for electricity and distillate fuel oil

Technical Report ·
DOI:https://doi.org/10.2172/7196681· OSTI ID:7196681
This report documents the development of a forecasting model of the demand for electricity and distillate fuel oil in the residential sector. The model, developed by Oak Ridge National Laboratory (ORNL), is designed to address two needs of the Department of Energy (DOE) Office of Environmental Analyses (OEA): (1) the need for a general framework to conduct analyses of historical trends of energy consumption patterns; and (2) the need for a base for projecting alternative assumptions of national and regional energy consumption and fuel prices. The model is data driven, using fuel consumption data from the Energy Information Administration (EIA) State Energy Data System (SEDS), price data from EIA's State Energy Price System (STEPS) data base and economic and demographic variables, such as population and income, from a previously existing ORNL data base of residential sector-specific variables. The framework uses the data management and statistical analyses capabilities of the Statistical Analysis System (SAS) to perform the data preparation, regression analyses and forecasting. The general framework, in addition to the use of SAS, provides the user the great flexibility in terms of employing alternative forecasting scenarios or extending the model to other sectors (i.e., commercial or industrial).
Research Organization:
Oak Ridge National Lab., TN (USA)
DOE Contract Number:
AC05-84OR21400
OSTI ID:
7196681
Report Number(s):
ORNL/TM-10052; ON: DE87002981
Country of Publication:
United States
Language:
English