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优选组合预测法在短期负荷预测中的应用 被引量：3

Application of an Optimization Combined Forecasting Method in Short-Term Load Forecast
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摘要 采用优选组合预测法将时间序列法、灰色模型法、人工神经网络法进行有效组合,从而提高了预测精度。 The paper adopts an optimization combined frecasting method to efficiontly combine time sequence mothed, graymodel mothed and artifucial nerve network mothed, thus improving foreacst accuracy.
作者 褚金胜 陈宙平
机构地区 广西电网公司永福供电公司 福建省厦门超高压输变电局
出处 《电气开关》 2013年第2期86-87,90,共3页 Electric Switchgear
关键词 短期负荷预测 时间序列 灰色模型 人工神经网络 优选组合 short - term load forecast time sequence gray model artificial nerve network optmization combinetion
分类号 TM71 [电气工程—电力系统及自动化]
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参考文献4

二级参考文献14

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共引文献125

同被引文献54

  • 1于希宁,牛成林,李建强.基于决策树和专家系统的短期电力负荷预测系统[J].华北电力大学学报（自然科学版）,2005,32(5):57-61. 被引量：27
  • 2牛东晓,谷志红,邢棉,王会青.基于数据挖掘的SVM短期负荷预测方法研究[J].中国电机工程学报,2006,26(18):6-12. 被引量：124
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电气开关
2013年 第2期

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