Optimal fuzzy inference for short-term load forecasting

Hiroyuki Mori, Hidenori Kobayashi

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages312-318
Number of pages7
Publication statusPublished - 1 Jan 1995
EventProceedings of the 1995 IEEE Power Industry Computer Application Conference - Salt Lake City, UT, USA
Duration: 7 May 199512 May 1995

Conference

ConferenceProceedings of the 1995 IEEE Power Industry Computer Application Conference
CitySalt Lake City, UT, USA
Period7/05/9512/05/95

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Cite this

Mori, H., & Kobayashi, H. (1995). Optimal fuzzy inference for short-term load forecasting. 312-318. Paper presented at Proceedings of the 1995 IEEE Power Industry Computer Application Conference, Salt Lake City, UT, USA, .