Residential end-use load shape estimation from whole-house metered data

Journal Article · Mon Aug 01 04:00:00 EDT 1988 · IEEE Trans. Power Syst.; (United States)

DOI:https://doi.org/10.1109/59.14551· OSTI ID:6795010

Schick, I C; Usoro, P B; Ruane, M F; Hausman, J A ^[1]

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1. Scientific Systems, Inc. (US)

A methodology for estimating end-use load shapes using hourly whole-house metered load data, household demographic survey data, and weather data (temperature) is presented. Although the focus of the project was on the residential sector, the techniques developed can also be applied to the industrial and commercial sectors. The load shape for each member of a set of customers is first compressed into a small number of representative parameters. These are then related to customer characteristics, such as appliance holdings, demographic and socio-economic data, and information on the dwelling. The results obtained show that the overall methodology provides an effective means for end-use load shape modeling and estimation.

• OSTI ID: 6795010
• Journal Information: IEEE Trans. Power Syst.; (United States), Journal Name: IEEE Trans. Power Syst.; (United States) Vol. 3:3; ISSN ITPSE
• 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
320106* -- Energy Conservation
Consumption
& Utilization-- Building Equipment-- (1987-)
APPLIANCES
COMMERCIAL SECTOR
DATA ANALYSIS
DEMOGRAPHY
ELECTRIC APPLIANCES
ELECTRIC MEASURING INSTRUMENTS
ELECTRICAL EQUIPMENT
EQUIPMENT
HOUSEHOLDS
LOAD ANALYSIS
LOAD MANAGEMENT
MANAGEMENT
MEASURING INSTRUMENTS
METERS
POWER METERS
RESIDENTIAL SECTOR
SURVEYS