This paper first introduces the knowledge of the load forecasting and artificial neural network.Then the impacts of various weather factors on short-term load forecasting are comprehensively taken into account.A short-term load forecasting model was designed based on BP neural network.By using the human body amenity indicator and the temperature and humidity index in load forecasting,it was found that the theoretical predictions deviated from the simulation results.Then the research revealed that the error ...