Short-term load forecasting based on improved BP neural network
GU Yu-gui · Power Demand Side Management · 2005
Scientific and actual short-term load forecasting is benefit to improve electricity power system economically and safely,and provides high quality power energy. The paper brings forth a new type of method of short-term load forecasting based on BP neural network, takes complicative climate sensitive factor into account when establishing model. It discusses the selection of input sample and the construction of forecasting model. The example shows that the method is of high precision and the relative error is less than 3.63%.