摘要
电力负荷预测是电力系统一项重要的工作。本文应用了灰色预测和人工神经网络相结合的方法进行短期电力负荷预测。首先介绍了灰色预测和神经网络的基础理论,其次利用一个仿真算例来验证灰色神经网络算法的可靠性。
Load forecasting is an important task in power system. In this paper, a combination of grey prediction and artificial neural network method is adopted to forecast short-term electricity load. First basic theories of grey prediction and neural network are introduced, and the following is a simulation example to verify the reliability of grey neural network.
出处
《科技和产业》
2008年第10期57-60,共4页
Science Technology and Industry
关键词
灰色预测
神经网络
电力负荷预测
gray prediction
neural network
electric load forecasting
