Short-Term Demand Forecasting by Using ANN Algorithms

Abstract

Electric power demand prediction is an important task for the efficient, economic, reliable and accurate power system operations which can be unit commitment, maintenance scheduling, etc. Considering importance of load forecasting different models are proposed for power demand forecasting. ANN is the most widely used method for power demand forecast from years. Simulation results obtained show that ANN is capable of forecasting electricity loads effectively. In this paper different ANN has been applied in short-term demand forecasting that is, the one hour-ahead hourly forecast of the electricity power demand using MATLAB R14a. The simulation results have shown highly accurate one hour ahead load forecast.