Short-term Load Forecasting Based on Improved BP Neural Network Algorithm
Pan Xue-tao · Journal of Shanghai University of Electric Power · 2012
The principles of BP network are firstly analyzed,and then several means of improving BP network are discussed with emphasis on its learning rate.Finally,the proposed BP natural network algorithm is tested by load forecasting with historical data of California.Simulation results show that the forecasting precision of the proposed method is enhanced by 0.445%,while the time is reduced,indicating that the improved algorithm could gain better forecasting effect.