Aiming at the low accuracy problem of power system short-term load forecasting by traditional methods,a back-propagation artificial neural network(BP-ANN) based method for short-term load forecasting is presented in this paper.The forecast points are related to prophase adjacent data as well as the periodical long-term historical load data.Then the short-term load forecasting model of Shanxi Power Grid(China) based on BP-ANN method and correlation analysis is established.The simulation model matches well with practical power system load,indicating the BP-ANN method is simple and with higher precision and practicality.
展开▼
