Long-term residential load forecasting. Final report

Technical Report · Wed Feb 01 04:00:00 EST 1978

DOI:https://doi.org/10.2172/5127281· OSTI ID:5127281

Granger, C. W.J.; Engle, R. F.; Ramanathan, R.; Andersen, A.

The main objective of this study was to isolate and evaluate the importance of various factors, many of which are household characteristics and weather conditions, that determine the demand for electricity at different times of day. A second purpose was to investigate one of the factors in detail, namely, prices, which was feasible because half of the households in the sample were subjected to time-of-day pricing. Substantial differences between the load curves of the experimental and control groups were found. Households in the experimental group significantly decreased electricity usage when its price was high, the consumption being shifted partly into the early morning hours but more heavily into the evening. The importance of certain appliances in shifting the load curve is also clearly brought out. For example, households with a dishwasher or electric heating appeared to change the timing of use of these appliances under peak-load pricing. Other appliances were also important in determining the load curve for both groups. Swimming pool pumps and air conditioning, for instance, were important determinants in the summer, whereas in the winter, electric heating and dishwashers substantially increased consumption levels.

• Research Organization: California Univ., San Diego, La Jolla (USA). Dept. of Economics; Econometric Research Associates, Del Mar, Calif. (USA)
• OSTI ID: 5127281
• Report Number(s): EPRI-EA-584(Vol.1)
• Country of Publication: United States
• Language: English

Related Subjects

29 ENERGY PLANNING, POLICY, AND ECONOMY
296000* -- Energy Planning & Policy-- Electric Power
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
320101 -- Energy Conservation
Consumption
& Utilization-- Residential Buildings-- (-1987)
APPLIANCES
CHARGES
CONSUMPTION RATES
DAILY VARIATIONS
DATA ACQUISITION
DATA COMPILATION
DISHWASHERS
ELECTRIC APPLIANCES
ELECTRIC POWER
ENERGY MODELS
EPRI
EVALUATION
FORECASTING
GAS APPLIANCES
HEATING
LOAD MANAGEMENT
MANAGEMENT
PEAK-LOAD PRICING
POWER
POWER DEMAND
RESIDENTIAL SECTOR
SPACE HEATING
VARIATIONS
WEATHER