Power system short-term load forecasting based on BP neural network

Electric energy plays an important role in the development of national industries. Based on the characteristics of China’s electricity load, this paper uses the signal decomposition of BP neural network, deep learning neural network and intelligent optimization basis to conduct research on short-term electricity load forecasting of Chinese national electricity consumption.