Short Term Load Forecasting using Metaheuristic Techniques

Abstract The power systems are important by using short term load forecasting (STLF) because it predicts the in 24 hours ahead or a week ahead. artificial neural network (ANN) brings good result predicted of its accurateness, easiness processing data, construction model as well excellent performances. optimization value ANN is found different methods which consist some weights. This manuscript explains work with back propagation (BP), genetic algorithm (GA) particle swarm (PSO) for STLF. detailed GA and PSO based BP presenting this paper helps utilization STLF also able to find load. Finally, compared simulation after that, concluded, PSO-BP method ANN.