In order to improve the precision of electric power system short-term load forecasting, a hybrid fuzzy neural network based short-term load forecasting model is put forward to predict the loads by mixing the merits of fuzzy logic and neural network. And a novel approach to update the parameters of fuzzy neurons is proposed. Some experiential rules are applied to the adjustment procedure of load, which can reduce the forecast error effectively. The result of typical calcu...
