Application of Adaptive Neuro-Fuzzy Inference System for Modeling of Electricity Prices

Adaptive neuro-fuzzy inference system is one of the most practical and accurate methods for modeling and prediction of complex systems which covers broad areas in science and engineering. This method can be used for solver of complex and non-linear problems. Since the prediction and modeling of electricity prices is one of the important factors in the electricity market, so according to complex dynamics of the prices fluctuation, using a method based on computational intelligence seems necessary. In this paper, electricity prices have been modeled using the adaptive neuro-fuzzy inference system.The results showed which the method can be used for modeling and prediction factors in the electricity market.

Keywords:

prices , forcasting , nonlinear systems