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Optimal fuzzy inference for short-term load forecasting

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2 Author(s)
Mori, H. ; Dept. of Electr. Eng., Meiji Univ., Kawasaki, Japan ; Kobayashi, H.

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

Published in:

Power Systems, IEEE Transactions on  (Volume:11 ,  Issue: 1 )

Date of Publication:

Feb 1996

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