成都大学学报：自然科学版2012，Vol.31Issue(2)：167-169,3.
基于BP神经网络的电力系统短期负荷预测
Short-term Load Forecasting of Power System Based on BP Neural Network
熊永胜1
作者信息
- 1. 四川理工学院自动化与电子信息学院,四川自贡643000
- 折叠
摘要
Abstract
The accuracy of short-tenn electric load forecasting is very important for real-time operation in the power system. BP neural network was used to study short-term electric load in this paper. Structure of the model was detemained according to the power system load factors of temperature and weather. Genetic algorithm was used to optimize the BP neural network. The examples show that genetic algorithm optimized by BP neural network is effective in the short-term load forecasting of power system.关键词
负荷预测/神经网络/遗传算法Key words
load forecasting/neural network/genetic algorithm分类
信息技术与安全科学引用本文复制引用
熊永胜..基于BP神经网络的电力系统短期负荷预测[J].成都大学学报：自然科学版,2012,31(2):167-169,3.
