罗军;何光宇;张思远;万源;李小锐;

• 1:电力系统及发电设备控制和仿真国家重点实验室(清华大学电机系)
• 2:电力系统及发电设备控制和仿真国家重点实验室(清华大学电机系)
• 3:电力系统及发电设备控制和仿真国家重点实验室(清华大学电机系)
• 4:江西省电力公司

摘要(Abstract)：

提出了一种基于相似点的地区短期负荷预测新方法并形成了基于该算法的专家支持系统,该系统可定量地考虑气象信息、小水电、工作日类型等负荷相关因素。采用该系统对某基荷较小的地区电网进行负荷预测,结果说明了本文算法的正确性和有效性。基于本文算法而编制的软件系统即将投入实际应用。

关键词(KeyWords)： 短期负荷预测;数据挖掘;决策树;遗传算法

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 罗军;何光宇;张思远;万源;李小锐;

Email:

DOI:

参考文献(References)：

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