摘要
预测电力系统未来几分钟到一个星期的负荷对电力系统的经济和安全运行起着重要作用。人工神经网络(ANN)技术的发展提供了一种新的电力系统负荷预测手段。人工神经网络预测模型成功地用于预测电力系统短期负荷,与传统方式不同,ANN不依靠人的经验而是通过训练,自主地学习系统输入和输出之间的函数关系。最初,ANN通过已知结果的历史数据进行学习;完成后,只给ANN输入预测条科即可进行负荷预测。
Short term load forecasting(STLF)with lead time from a few minutes to sever days,Play a key role for the economic and secure operation of Power systems.Various models for STLF have been Proposed in the last few decades.With the development of ANN,a new method of the STLF has been proposed.The forecast model of ANN has been successfully applied to STLF ANN does not rely on human experience but attempt to learn by itself the functional relationship between system inputs and outputs through a training Process....
出处
《四川电力技术》
2008年第6期68-72,共5页
Sichuan Electric Power Technology
关键词
短期负荷预测
模式识别
神经网络
ANN
Short Term Load Forecasting（STLF）
Pattern Recognization
