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

Technical Report · Mon Jun 01 04:00:00 EDT 1992

DOI:https://doi.org/10.2172/7001379· OSTI ID:7001379

Eto, J H; Moezzi, M M

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.

• Research Organization: Lawrence Berkeley Lab., CA (United States)
• Sponsoring Organization: DOE; USDOE, Washington, DC (United States)
• DOE Contract Number: AC03-76SF00098
• OSTI ID: 7001379
• Report Number(s): LBL-32118; ON: DE93001539
• Country of Publication: United States
• Language: English

Related Subjects

29 ENERGY PLANNING, POLICY, AND ECONOMY
296000* -- Energy Planning & Policy-- Electric Power
298000 -- Energy Planning & Policy-- Consumption & Utilization
AIR CONDITIONING
COMPILED DATA
DAILY VARIATIONS
DATA
DEMAND
ELECTRIC POWER
ENERGY CONSUMPTION
ENERGY DEMAND
FORECASTING
INFORMATION
LOAD MANAGEMENT
MANAGEMENT
METERING
NUMERICAL DATA
POWER
RESIDENTIAL SECTOR
VARIATIONS