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北京市气温对电力负荷影响的计量经济分析

吴向阳 张海东

吴向阳, 张海东. 北京市气温对电力负荷影响的计量经济分析. 应用气象学报, 2008, 19(5): 531-538..
引用本文: 吴向阳, 张海东. 北京市气温对电力负荷影响的计量经济分析. 应用气象学报, 2008, 19(5): 531-538.
Wu Xiangyang, Zhang Haidong. Econometric analysis on Beijing temperature influence upon electricity load. J Appl Meteor Sci, 2008, 19(5): 531-538.
Citation: Wu Xiangyang, Zhang Haidong. Econometric analysis on Beijing temperature influence upon electricity load. J Appl Meteor Sci, 2008, 19(5): 531-538.

北京市气温对电力负荷影响的计量经济分析

资助项目: 

国家软科学研究计划 2007GX3B050

Econometric Analysis on Beijing Temperature Influence upon Electricity Load

  • 摘要: 以温度派生变量度日指数为解释变量构建了气温与电力负荷的计量经济模型。模型证明了天气对电力负荷的季节性影响, 且影响显著。通过引入序列相关AR结构和解释变量的动态结构, 模型得到逐步优化, 调整的拟合优度达95%。为了检验模型的预测能力, 利用历史数据对其进行了评估, 评估结果表明模型有较好的中期电力负荷预测能力。该模型对电力企业电力调度、电力建设有较大的参考价值。
  • 图  1  2002-2004年北京市日电力负荷

    Fig. 1  Beijing daily electricity load during 2002-2004

    图  2  2002-2004年北京市日平均气温与电力负荷 (去趋势) 散点图

    Fig. 2  Scatter diagram of daily temperature and electricity load (detrend) of Beijing during 2002-2004

    图  3  2002-2004年一周 (a) 及各月 (b) 平均电力负荷

    Fig. 3  Weekly (a) and monthly (b) fluctuation of average electricity load during 2002-2004

    图  4  2004年第4季度 (a) 及12月 (b) 电力负荷

    Fig. 4  Electricity load of the 4th quarter (a) and December (b) in 2004

    表  1  模型1、模型2、模型3的估计结果

    Table  1  Result of model-1, model-2 and model-3

    表  2  季度和月度预测误差

    Table  2  Quarterly and monthly forecasting error

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出版历程
  • 收稿日期:  2007-05-18
  • 修回日期:  2008-03-18
  • 刊出日期:  2008-10-31

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