Application of fuzzy logic technology for spatial load forecasting
Journal Article
·
· IEEE Transactions on Power Systems
- North Carolina State Univ., Raleigh, NC (United States). Dept. of Electrical and Computer Engineering
- ABB Power T and D Company Inc., Cary, NC (United States)
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.
- OSTI ID:
- 538100
- Journal Information:
- IEEE Transactions on Power Systems, Vol. 12, Issue 3; Other Information: DN: Paper presented at the 1996 IEEE transmission and distribution conference, September 15--20, 1996, Los Angeles, CA (US); PBD: Aug 1997
- Country of Publication:
- United States
- Language:
- English
Similar Records
Fuzzy logic multiobjective optimization for stand-alone photovoltaic plants
A fuzzy logic based approach to direct load control
Demand forecasting using fuzzy neural computation, with special emphasis on weekend and public holiday forecasting
Conference
·
Wed Jul 01 00:00:00 EDT 1998
·
OSTI ID:538100
A fuzzy logic based approach to direct load control
Journal Article
·
Wed May 01 00:00:00 EDT 1996
· IEEE Transactions on Power Systems
·
OSTI ID:538100
Demand forecasting using fuzzy neural computation, with special emphasis on weekend and public holiday forecasting
Journal Article
·
Wed Nov 01 00:00:00 EST 1995
· IEEE Transactions on Power Systems
·
OSTI ID:538100