DocumentCode
1286368
Title
Application of fuzzy logic technology for spatial load forecasting
Author
Chow, Mo-Yuen ; Tram, Hahn
Author_Institution
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
Volume
12
Issue
3
fYear
1997
fDate
8/1/1997 12:00:00 AM
Firstpage
1360
Lastpage
1366
Abstract
Utilities are required to provide reliable power to customers. In the design stages, utilities need to plan ahead for anticipated future load growth under different possible scenarios. Their decisions and designs can affect the gain or loss of millions of dollars for their companies as well as customer satisfaction and future economic growth in their territory. This paper proposes and describe the general methodology to use fuzzy logic to fuse the available information for spatial load forecasting. The proposed scheme can provide distribution planners other alternatives to aggregate their information for spatial load forecasting
Keywords
distribution networks; electricity supply industry; fuzzy logic; load forecasting; power system planning; customer satisfaction; distribution network planning; economic growth; electric utilities; fuzzy logic technology; load growth; power systems; spatial load forecasting; Aggregates; Costs; Customer satisfaction; Distributed computing; Economic forecasting; Fuzzy logic; Geographic Information Systems; Load forecasting; Power generation economics; Power system reliability;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/59.630482
Filename
630482
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