关键词: 人工神经网络, 负荷预测, 电力系统, 联想, 优化算法

Abstract:

The artificial neural network has been applied in electric load forecasting based on the fact that it can process information intelligently by simulating the human brain and adapt to nonstructural and uncertain laws.This thesis analyzes the basic conception of load forecasting and the basic structure of forward modeling and backward modeling based on the prediction principle of the neural network.It also deals with association neural network optimization algorithms.The electric load forecasting model is designed,simulated and tested.The results of the experiment shows that the electric load forecasting which is based on association neural network optimization algorithms can improve the prediction accuracy further.

Key words: artificial neural network;load forecasting;power system;association;optimization algorithms