Short-Term Load Forecasting By GRF Methodol- ogy

ABSTRACT: Short-term load forecasting method is the basis of optimizing the operation for power systems. Accurate load forecasting is helpful to improve the security and economic effect of power systems and can reduce the cost of generating electricity. Therefore, finding an appropriate load forecasting method to improve accuracy of forecasting has important application value. For this we have proposed a revised radial basis function (RBF) network combined along with the genetic algorithm. Fuzzy inference system is used in addition with this modified RBF network to include the sudden changes in load values. The proposed method is compared with feed forward neural network