Based on RBF Neural Network of the Heat Load Forecasting and Research

The load forecast is the foundation of optium control for heating system. This paper systematicaly discussed the application research of heating system predication which adopted the fuzzy neural networks technology. RBF neural networks are constructed by MATLAB. This method is characterized by higher computing accuracy and fast convergence velocity, it is very suitable in the engineering and may greatly enhance the automation of central heating system and energy-saving effects.