Modeling and weather-normalization of whole-house metered data for residential end-use load shape estimation

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

DOI:https://doi.org/10.1109/59.43201· OSTI ID:6828329

Schick, I C; Usoro, P B; Ruane, M F; Schweppe, F C

A methodology is presented for modeling load shapes in the residential sector by using hourly whole-house metered data and temperature. Individual household-level load data are analyzed to achieve data smoothing (noise rejection) and compression (in the ratio of approximately 150:1), and to disaggregate the weather-dependent and weather-independent components of the load. The weather-independent (lifestyle) component is modeled as a weighted sum of orthogonal functions (primarily sinusoids and boxcars), while the weather-dependent component is modeled as a non-linear dynamic system based upon thermodynamic principles. Numerical examples show efficient representation of data and good model fit.

• Research Organization: Scientific Systems, Inc. (US)
• OSTI ID: 6828329
• Journal Information: IEEE Trans. Power Syst.; (United States), Journal Name: IEEE Trans. Power Syst.; (United States) Vol. 3:1; ISSN ITPSE
• Country of Publication: United States
• Language: English

Related Subjects

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
320107* -- Energy Conservation
Consumption
& Utilization-- Building Systems-- (1987-)
99 GENERAL AND MISCELLANEOUS
990230 -- Mathematics & Mathematical Models-- (1987-1989)
BUILDINGS
DATA ANALYSIS
DYNAMIC LOADS
HOUSES
MATHEMATICAL MODELS
NOISE POLLUTION
NONLINEAR PROBLEMS
NUMERICAL SOLUTION
PARTICLE MODELS
POLLUTION
RESIDENTIAL BUILDINGS
RESIDENTIAL SECTOR
STATISTICAL MODELS
THERMODYNAMIC MODEL
WEATHERIZATION