Optimal fuzzy inference for short-term load forecasting

Journal Article · Thu Feb 01 00:00:00 EST 1996 · IEEE Transactions on Power Systems

DOI:https://doi.org/10.1109/59.486123· OSTI ID:244772

Mori, Hiroyuki; Kobayashi, Hidenori ^[1]

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1. Meiji Univ., Kawasaki (Japan). Dept. of Electrical Engineering

This paper proposes an optimal fuzzy inference method for short-term load forecasting. The proposed method constructs an optimal structure of the simplified fuzzy inference that minimizes model errors and the number of the membership functions to grasp nonlinear behavior of power system short-term loads. The model is identified by simulated annealing and the steepest descent method. The proposed method is demonstrated in examples.

• OSTI ID: 244772
• Report Number(s): CONF-950525-; ISSN 0885-8950; TRN: IM9627%%94
• Journal Information: IEEE Transactions on Power Systems, Vol. 11, Issue 1; Conference: IEEE power industry computer applications conference, Salt Lake City, UT (United States), 7-12 May 1995; Other Information: PBD: Feb 1996
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
ELECTRIC UTILITIES
LOAD ANALYSIS
POWER DEMAND
EXPERT SYSTEMS
FUZZY LOGIC
FORECASTING