DocumentCode :
2515992
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
fYear :
1996
fDate :
15-20 Sep 1996
Firstpage :
608
Lastpage :
614
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 describes 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; fuzzy logic; geographic information systems; inference mechanisms; load forecasting; power system analysis computing; power system planning; anticipated future load growth planning; future economic growth; fuzzy logic technology; geographic information system; inference; information technology; land-usage; spatial load forecasting; urban development; Costs; Customer satisfaction; Distributed computing; Economic forecasting; Fuzzy logic; Geographic Information Systems; Load forecasting; Power generation economics; Power system planning; Power system reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transmission and Distribution Conference, 1996. Proceedings., 1996 IEEE
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-7803-3522-8
Type :
conf
DOI :
10.1109/TDC.1996.547580
Filename :
547580
Link To Document :
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