Performance Analysis of a Bayesian Regularization Neural Network for Short-Term Electricity Load Forecasting
Short-term electricity load forecasting (STLF) is important for supporting reliable and efficient power system operation. Bayesian Regularization Neural Network (BRNN) can model nonlinear relationships in electricity load data while controlling model complexity. This study analyzes the performance of a previously devel...