Short-term Load Forecasting Based on Fuzzy Neural Network

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. After analyzing the meaning and methods of power system load forecasting, this paper explains the general theory of Artificial Neural Network (ANN) and Fuzzy Inference System (FIS), and builds a load forecasting method based on Fuzzy Neural Network.