Study of Electricity Short-term Load Forecast Based on BP Neural Network
Bian Xue-fen · Electrical Measurement & Instrumentation · 2011
In order to obtain an automatic forecasting model which can reflect the power net short-term load wave,the paper combines BP neural network and Matlab logic toolbox with the weather conditions,the type of power supply dates and so on as the constraint of the BP neural network;joints the holidays,power limits and so on as the external intervention options of the adaptive control system.Through the model to obtain an adaptive learning rate automatically short-term load forecasting model of electric power system.BP neural network model improves the efficiency and accuracy of the short-term load wave forecast,which can get the accuracy data of the 24 hours load wave cure as an important research topic of the power marketing strategy.