A Development of the Short Term Electrical Load Prediction System Based on the Fuzzy System and the Evolutionary Algorithm

This paper proposes a time series prediction method for the nonlinear system using the fuzzy system and the genetic algorithm. At first, we obtain the optimal fuzzy membership function using the genetic algorithm and the evolutionary strategy. With the optimal fuzzy rules and the input differences, a better time prediction series system may be obtained. We obtain a good result for the time prediction of the electrical load. In addition, we implement the graphic user interface for the proposed algorithm.