DocumentCode
1171030
Title
Forecasting Distribution system Loads Using Curve Shape Clustering
Author
Willis, H.L. ; Schauer, A.E. ; Northcote-Green, J.E.D. ; Vismor, T.D.
Author_Institution
Advanced Systems Technology Division Westinghouse Electric Corporation
Issue
4
fYear
1983
fDate
4/1/1983 12:00:00 AM
Firstpage
893
Lastpage
901
Abstract
Trending using curve fitting to past small area load growth is an economical but not highly accurate method of forecasting loads for distribution planning. A new trending method uses clustering of historical load at the small area level as the forecast algorithm. This new method has significant performance advantages over normal curve fit methods and can be implemented in 16 bit integer arithmetic on most computers. The method and test results are discussed in detail.
Keywords
Clustering algorithms; Computational modeling; Curve fitting; Digital arithmetic; Economic forecasting; Load forecasting; Power generation economics; Shape; Spatial resolution; Testing;
fLanguage
English
Journal_Title
Power Apparatus and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9510
Type
jour
DOI
10.1109/TPAS.1983.317953
Filename
4112013
Link To Document