Small area land-use analysis based on fuzzy neural networks in load forecasting

This paper presents the improvement of spatial load forecasting method of distribution network, and the fuzzy inference on small area land-use analysis is emphatically studied. A fuzzy inference model based on artificial neural networks (ANN) is presented in this method. So it formulates an intelligent system with learning function and it is also characterized by strong self-adapting, high inference efficiency and strong ability to express knowledge. At last, an actual example indicates that this method is very efficient.