Residential energy consumption: An analysis-of-variance study
In this report, tests of statistical significance of five sets of variables with household energy consumption (at the point of end-use) are described. Five models, in sequence, were empirically estimated and tested for statistical significance by using the Residential Energy Consumption Survey of the US Department of Energy, Energy Information Administration. Each model incorporated additional information, embodied in a set of variables not previously specified in the energy demand system. The variable sets were generally labeled as economic variables, weather variables, household-structure variables, end-use variables, and housing-type variables. The tests of statistical significance showed each of the variable sets to be highly significant in explaining the overall variance in energy consumption. The findings imply that the contemporaneous interaction of different types of variables, and not just one exclusive set of variables, determines the level of household energy consumption.
- Research Organization:
- Argonne National Lab., IL (United States). Energy Systems Div.
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- W-31109-ENG-38
- OSTI ID:
- 10132294
- Report Number(s):
- ANL/ESD-12; ON: DE92009922
- Resource Relation:
- Other Information: PBD: Jan 1992
- Country of Publication:
- United States
- Language:
- English
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POLICY AND ECONOMY
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
RESIDENTIAL BUILDINGS
ENERGY CONSUMPTION
STATISTICAL MODELS
SOCIO-ECONOMIC FACTORS
WEATHER
CLIMATES
MATHEMATICAL MODELS
ENERGY MODELS
SURVEYS
DATA ANALYSIS
COMPILED DATA
STATISTICAL DATA
290100
320100
290200
ENERGY ANALYSIS AND MODELING
BUILDINGS
ECONOMICS AND SOCIOLOGY