A hybrid fuzzy modeling method for short-term load forecasting

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.

MoreLess

Year of publication:	2000
Authors:	Mastorocostas, P.A. ; Theocharis, J.B. ; Kiartzis, S.J. ; Bakirtzis, A.G.
Published in:	Mathematics and Computers in Simulation (MATCOM). - Elsevier, ISSN 0378-4754. - Vol. 51.2000, 3, p. 221-232
Publisher:	Elsevier
Subject:	Short-term load forecasting \| Orthogonal least squares \| Constrained optimization \| Fuzzy systems

More details

Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010749380