基于灰色系统和人工神经网络的负荷预测综合模型
Integrated Model of Load Forecasting based on Grey Theory and Artificial Neural Network
灰色系统、人工神经网络作为行之有效的负荷预测工具有着各自的优缺点，本文通过研究两者的互补性，分析了两者的结合方式，给出了基于灰色系统和人工神经网络的负荷预测综合模型。通过算例初步进行了验证。
Gray system and artificial neural network both are the methods of load forecasting. They have advantages and disadvantages. In this article, by analyzing the complementary quality of them we can give the integrated model of load forecasting based on grey theory and artificial neural network. It is testified by the experiment.
程鹏、方静、孙长银、唐智育、鄢安河、鞠平、李新炜
输配电工程
负荷预测 灰色系统 人工神经网络 综合模型
Load Forecasting Grey Theory Artificial Neural Network Integrated Model
程鹏,方静,孙长银,唐智育,鄢安河,鞠平,李新炜.基于灰色系统和人工神经网络的负荷预测综合模型[EB/OL].(2007-03-27)[2025-08-03].http://www.paper.edu.cn/releasepaper/content/200703-464.点此复制
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