A hybrid fuzzy modeling method for short-term load forecasting

P.A. Mastorocostas, J.B. Theocharis, S.J. Kiartzis and A.G. Bakirtzis

Mathematics and Computers in Simulation (MATCOM), 2000, vol. 51, issue 3, 221-232

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: Short-term load forecasting; Orthogonal least squares; Constrained optimization; Fuzzy systems (search for similar items in EconPapers)
Date: 2000
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:51:y:2000:i:3:p:221-232

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