摘要
在采用相关度系数分析方法寻找负荷与气象因子间的关系的基础上,提出了用神经网络的方法建立气象敏感负荷与各气象因子间的独立关系模型,最终得到负荷与气象因子的综合模型,并用杭州地区2006年1月至2007年8月的负荷与气象数据对该综合模型进行验证,预测结果表明该方法可行。
Based on the analysis method of coherence indicator,the model for the independent relationship between weather-sensitive load and meteorological factors was proposed with neural networks,and then the integrated model between the load and the meteorological factors was established.The model was verified with the load and meteorological data from Jan.2006 to Aug.2007 in the region of Hangzhou.The predicted results demonstrated the feasibility of the method.
出处
《华东电力》
北大核心
2010年第2期243-246,共4页
East China Electric Power
关键词
短期负荷预测
气象敏感负荷
气象因子
神经网络
short-term load prediction
weather sensitive load
meteorological factors
neural networks
