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.
|Number of pages||7|
|Publication status||Published - 1 Jan 1995|
|Event||Proceedings of the 1995 IEEE Power Industry Computer Application Conference - Salt Lake City, UT, USA|
Duration: 7 May 1995 → 12 May 1995
|Conference||Proceedings of the 1995 IEEE Power Industry Computer Application Conference|
|City||Salt Lake City, UT, USA|
|Period||7/05/95 → 12/05/95|