Forecasting and modeling time-of-day and seasonal electricity demands

Conference · Thu Dec 01 04:00:00 EST 1977

OSTI ID:5195319

Lawrence, A.

The papers published in these proceedings were presented at the Workshop on Methodologies for Forecasting Time-of-Day and Seasonal Electricity Loads, sponsored by the Electric Power Research Institute (EPRI), and held in Aspen, Colorado, from March 30 through April 1. This workshop provided a forum for the presentation of empirical results from several new econometric models of electricity demand and new research and theoretical analyses of issues relevant to measuring, forecasting, and modeling the demand for electricity by the time of day and by season. Three of the empirical studies on the Connecticut peak-load-pricing experiment were sponsored by EPRI to develop better methods for modeling and forecasting residential electricity loads. The fourth empirical paper on the Connecticut experiment was done in-house at EPRI. In addition to the EPRI-supported research, the workshop included several contributed papers on the theoretical and empirical problems of modeling electricity demand. Two papers were contributed by Federal Energy Administration staff economists, three by Bell Laboratories economists, one by staff members of The Rand Corporation, and the remainder by several university researchers. The papers were divided into three main categories: econometric papers that deal with modeling and forecasting individual households' demand for electricity with time-of-day pricing; econometric and statistical time-series papers that deal with forecasting the peak load of utility systems; and papers that provide insights into previous experience with peak-load pricing, benefit/cost analysis, model specification, and experimental design related to load forecasting and load control.

• Research Organization: Electric Power Research Inst., Palo Alto, Calif. (USA)
• OSTI ID: 5195319
• Report Number(s): EPRI-EA-578-SR; CONF-770391-
• Country of Publication: United States
• Language: English

Related Subjects

29 ENERGY PLANNING, POLICY, AND ECONOMY
290100 -- Energy Planning & Policy-- Energy Analysis & Modeling
296000* -- Energy Planning & Policy-- Electric Power
CHARGES
CONNECTICUT
COST BENEFIT ANALYSIS
DEMAND FACTORS
ECONOMETRICS
ECONOMICS
ELECTRIC POWER
ELECTRIC UTILITIES
ENERGY MODELS
EPRI
FORECASTING
LOAD MANAGEMENT
MANAGEMENT
MEETINGS
NORTH AMERICA
PEAK-LOAD PRICING
POWER
POWER DEMAND
PUBLIC UTILITIES
RESIDENTIAL SECTOR
SEASONAL VARIATIONS
SIMULATION
USA
VARIATIONS