Title of article
A hybrid fuzzy modeling method for short-term load forecasting Original Research Article
Author/Authors
P.A. Mastorocostas، نويسنده , , J.B. Theocharis، نويسنده , , S.J. Kiartzis، نويسنده , , A.G. Bakirtzis، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2000
Pages
12
From page
221
To page
232
Abstract
This paper presents the development of a hybrid fuzzy modeling method for short-term load forecasting. The new approach employs the orthogonal least squares method to create the fuzzy model and a constrained optimization algorithm to perform the parameter learning. The proposed model is tested using data of the Greek power system, while load forecasts with satisfying accuracy are reported.
Keywords
Fuzzy systems , Constrained optimization , Orthogonal least squares , Short-term load forecasting
Journal title
Mathematics and Computers in Simulation
Serial Year
2000
Journal title
Mathematics and Computers in Simulation
Record number
853585
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