Short-term power load forecasting based on autocorrelation function optimization

Author

Paarmann, Larry D. ; Najar, Mohamed D.

Author_Institution

Dept. of Electr. Eng., Wichita State Univ., KS, USA

Volume

2

fYear

1994

fDate

3-5 Aug 1994

Firstpage

1475

Abstract

Reliable, short-term load forecasting by computer has been a topic of considerable interest. In this paper, a method to accomplish this that automatically adapts to changing conditions, requiring very little human intervention, is on-line, and is reliable, Is presented. It makes use of time-series models, automatically adjusting the model parameters, to forecast the load. One thing that is unique in this method is the autocorrelation optimization used for incorporating daily and weekly periodicities

Keywords

correlation methods; electric power generation; load forecasting; optimisation; power system analysis computing; power system planning; time series; autocorrelation function optimization; daily periodicities; model parameters; power generation; short-term power load forecasting; time-series models; weekly periodicities; Autocorrelation; Energy management; Filters; Humans; Load forecasting; Optimization methods; Power generation; Power system management; Predictive models; Weather forecasting;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on

Conference_Location

Lafayette, LA

Print_ISBN

0-7803-2428-5

Type

conf

DOI

10.1109/MWSCAS.1994.519085

Filename

519085