A hybrid intelligent system for electricity price forecasting

In this paper, an efficient method is proposed for electricity price forecasting. The proposed method integrates the GRBFN (Generalized Radial Basis Function) with fuzzy c-means and EPSO (Evolutionary Particle Swarm Optimization). GRBFN is used as an advanced artificial neural network predictor while fuzzy c-means and EPSO are employed as the prefilitering technique and the global optimization techniques, respectively. The effectiveness of the proposed method is demonstrated to real data.