Short-Term Load Forecasting Using Artificial Neural Network Technique

Abstract

This project focused on short-term load forecasting [STLF] in power system operations. Load forecasting is future demand prediction, which assumes an essential part ofpower system management. Short term load forecasting [STLF] provides load predictionhelps in generation scheduling, maintenance, and unit commitment decisions. Therefore, [STLF] plays significant role in power system planning, and the performance of the economic system. This project deal with most power ful Artificial Intelligent [AI] whichis Artificial Neural Network [ANN], ANN model designed and compared with one of the statistical methods, which is time series model. MATLAB SIMULINK software is used to accomplish ANN model.This model used Multilayer Feed Forward ANN using MatlabR2016b NN-Tool is trained and examined using data of period from (1/7/2014 to 31/7/2014) . At the end, both methods shows that the STLF using artificial neural network [ANN] more accuratethan the statistical technique