DocumentCode :
1166763
Title :
A Hierarchical Recursive Method for Substantially Improving Trending of Small Area Load Forecasts
Author :
Willis, H.L. ; Northcote-Green, J.E.D.
Author_Institution :
Advanced Systems Technology Westinghouse Electric Company
Issue :
6
fYear :
1982
fDate :
6/1/1982 12:00:00 AM
Firstpage :
1776
Lastpage :
1783
Abstract :
A spatially recursive technique for structuring the trending of a small area load forecast is described. The method employs trending of more than just the individual small area loads. Computer implementation of the technique is simple and straightforward, and requires only slightly more computer time and memory than previous trending methods, while maintaining the low data requirements and ease of use common to such techniques. Forecasts obtained using the new method have only from one half to one fourth of the error of forecasts obtained from other trending methods.
Keywords :
Computational modeling; Computer errors; Computer industry; Demand forecasting; Extrapolation; History; Load forecasting; Power industry; Predictive models; Substations;
fLanguage :
English
Journal_Title :
Power Apparatus and Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9510
Type :
jour
DOI :
10.1109/TPAS.1982.317231
Filename :
4111518
Link To Document :
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