Short Term Load Forecasting Using ANN and Multiple Linear Regression

Energy demand forecasting is of great importance in the management of power systems. In this paper artificial neural network technique (ANN) and multiple linear regressions method is used for forecasting the load curve. Algorithms using these techniques have been programmed using MATLAB and applied to the case study. The efficiency of both the model is determined from the load curve and the load is predicted as a testing sample.