DocumentCode
1168693
Title
Design and Implementation of An on-Line Load Forecasting Algorithm
Author
Krogh, B. ; de Llinas, E.S. ; Lesser, D.
Author_Institution
Westinghouse Electric Corporation Industry Systems Division
Issue
9
fYear
1982
Firstpage
3284
Lastpage
3289
Abstract
This paper presents a short-term load forecasting algorithm for Energy Control Center applications. Regression techniques are combined with Auto Regressive Integrated Moving Average (ARIMA) models to produce hourly MW load values for the upcoming seven days. Results of several studies are discussed along with a description of the on-line implementation.
Keywords
Algorithm design and analysis; Design engineering; Humidity; Least squares methods; Load forecasting; Power engineering computing; Power systems; Temperature; Weather forecasting; Wind forecasting;
fLanguage
English
Journal_Title
Power Apparatus and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9510
Type
jour
DOI
10.1109/TPAS.1982.317536
Filename
4111739
Link To Document