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

Abstract

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.

Authors:
;
Publication Date:
Research Org.:
Lawrence Berkeley Lab., CA (United States)
Sponsoring Org.:
USDOE; USDOE, Washington, DC (United States)
OSTI Identifier:
7001379
Report Number(s):
LBL-32118
ON: DE93001539
DOE Contract Number:
AC03-76SF00098
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY AND ECONOMY; ELECTRIC POWER; METERING; ENERGY CONSUMPTION; FORECASTING; RESIDENTIAL SECTOR; AIR CONDITIONING; COMPILED DATA; DAILY VARIATIONS; ENERGY DEMAND; LOAD MANAGEMENT; DATA; DEMAND; INFORMATION; MANAGEMENT; NUMERICAL DATA; POWER; VARIATIONS; 296000* - Energy Planning & Policy- Electric Power; 298000 - Energy Planning & Policy- Consumption & Utilization

Citation Formats

Eto, J.H., and Moezzi, M.M.. Analysis of PG E's residential end-use metered data to improve electricity demand forecasts. United States: N. p., 1992. Web. doi:10.2172/7001379.
Eto, J.H., & Moezzi, M.M.. Analysis of PG E's residential end-use metered data to improve electricity demand forecasts. United States. doi:10.2172/7001379.
Eto, J.H., and Moezzi, M.M.. Mon . "Analysis of PG E's residential end-use metered data to improve electricity demand forecasts". United States. doi:10.2172/7001379. https://www.osti.gov/servlets/purl/7001379.
@article{osti_7001379,
title = {Analysis of PG E's residential end-use metered data to improve electricity demand forecasts},
author = {Eto, J.H. and Moezzi, M.M.},
abstractNote = {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.},
doi = {10.2172/7001379},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jun 01 00:00:00 EDT 1992},
month = {Mon Jun 01 00:00:00 EDT 1992}
}

Technical Report:

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