Figure 10个  Table 5
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    • Figure 2. 

    • Figure 3. 

    • Figure 4. 

    • Figure 5. 

    • Figure 6. 

    • Figure 7. 

    • Figure 8. 

    • Figure 9. 

    • Figure 10. 

    • 电力数据
      日电量(亿千瓦时)日最大负荷(万千瓦)日最小负荷(万千瓦)
      年份平均数中位数标准差平均数中位数标准差平均数中位数标准差
      全样本2.983.020.981463.901467.60487.48948.24973.10307.48
      20001.501.450.19744.24723.35103.45473.24461.1554.08
      20011.581.530.21785.58761.10115.92498.15485.6055.79
      20021.721.700.23857.91841.20127.10540.20533.0059.70
      20031.991.910.29989.06958.70152.90626.09603.4081.39
      20042.202.130.291083.481051.40148.94699.87679.3579.86
      20052.472.390.341214.751175.80174.12785.26762.1091.54
      20062.692.580.421321.521272.50216.65857.28826.00114.22
      20072.922.800.461436.361385.60242.58931.12903.30127.84
      20083.092.960.471520.581446.65245.22990.15952.40132.74
      20093.143.070.471544.851509.20246.671001.10983.90133.02
      20103.533.330.571727.291629.30298.741137.281080.70164.08
      20113.663.530.531794.481740.90283.991174.521139.00149.32
      20123.683.590.551821.171772.10291.651171.921138.35154.95
      20133.853.590.721894.931774.40376.321220.781141.00207.40
      20143.733.670.501820.761789.90269.921183.281168.70136.23
      20153.833.740.551877.141832.70295.011219.601196.00149.15
      20164.033.840.711977.621877.05378.351290.491227.35202.47
      20174.183.980.882037.561945.70453.691337.441275.00264.59
      数据来源:笔者依据上海市电力公司用电负荷数据整理所得。
    • 温度数据
      日最高温度(摄氏度)日最低温度(摄氏度)
      年份平均数中位数标准差平均数中位数标准差
      全样本21.5922.709.3215.0615.88.74
      200023.5624.607.7617.1118.007.41
      200121.3723.009.1014.8915.508.51
      200221.6621.608.5315.0415.607.91
      200321.5522.509.8514.7915.009.07
      200421.9623.159.0715.1215.658.62
      200521.5823.2010.2614.6516.109.61
      200622.1723.409.3715.5516.208.65
      200722.2722.408.9815.6815.308.33
      200821.3822.209.6914.6515.009.15
      200921.5524.209.4914.9216.708.90
      201021.2321.009.4914.6414.109.07
      201121.0022.009.8314.4316.009.28
      201220.6322.459.7414.5415.808.97
      201321.8122.409.9915.0815.209.33
      201420.8421.908.3314.8515.808.08
      201520.9523.208.5414.8016.008.00
      201621.4822.109.2615.4616.058.72
      201722.3022.9010.0115.3716.309.14
      数据来源:笔者依据上海市电力公司温度数据整理所得。
    • 两期移动平均的估计值三期移动平均的估计值四期移动平均的估计值
      α0.2553[0.1504]0.6860***[0.1872]1.1076***[0.2166]
      γ1.0067***[0.0210]1.0022***[0.0274]1.0072***[0.0334]
      K11−0.0015 [0.0112]0.0077[0.0130]−0.0008[0.0143]
      K120.0287**[0.0128]0.0293*[0.0150]0.0399**[0.0166]
      调整的R20.99480.99110.9865
      p-value1.151e-153.926e-133.915e-11
      注:* 表示90%水平显著,**表示95%水平显著,***表示99%水平显著。
    • 两期移动平均三期移动平均四期移动平均
      MSE2662.1622919.6493318.067
    • GDP一产GDP二产GDP三产GDP
      估计值0.7662***[0.0774]0.3819***[0.1113]0.7057***[0.0853]0.7794***[0.0754]
      调整的 R20.58100.13350.49080.6018
      p-value6.953e-150.00106.291e-121.18e-15
      注:* 表示90%水平显著,**表示95%水平显著,***表示99%水平显著。