摘要
电力负荷的准确预测对电力系统安全、可靠、经济运行起着重要作用。本文着重对人工神经网络负荷预测的方法进行了研究,很好地解决了传统模型收敛速度、收敛稳定性及初值优化等问题。通过模糊控制理论,提高了处理不确定性问题的能力。
Accurately predict the power load is very important for the power system safe, reliable and economic operation. This article focuses on the research of artificial neural network load forecasting method. It 's a good solution to the traditional model of convergence speed, convergence stability and the initial optimization problem. The ability of dealing with the uncertain problem has improved through the fuzzy control theory.
出处
《科技信息》
2014年第1期94-95,共2页
Science & Technology Information
关键词
电力负荷
人工神经网络
模糊控制理论
The power load
Artificial neural network
Fuzzy control theory