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Short-term load forecasting(STLF) is of great importance for the safety and stabilization of grids. Based on the historical load data of meritorious power of some area in Guizhou power system, three BP neural networks in steepest descent algorithm back propogation neural network(SDBP), Levenberg -Marquardt algorithm back propogation neural network (LMBP) and Bayesian regularization algorithm back...
Short-Term Load Forecasting (STLF) is a very important aspect of power system to ensure operating safely economically and achieve scientific management in the power system. In this paper, Bayesian - BP Neural Network model has been designed for STLF. We used Bayesian - BP Neural Network to forecast the hour power load of weekdays and weekends. For doing this, Bayesian learning method has been used...
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