Research Article

Simulation Study on Clustering Approaches for Short-Term Electricity Forecasting

Table 1

Descriptive statistics for the electric load observed at each of the households.

Household numberMissingMinMaxMeanCV

100.057.360.651.24
200.197.411.290.86
300.0113.883.670.65
400.007.891.620.65
500.3912.622.420.72
600.2011.402.070.86
700.1911.101.421.14
800.025.360.481.38
900.275.851.340.63
1000.009.201.061.27
1100.3610.551.770.78
1200.139.161.061.15
1300.086.270.561.08
1400.168.131.030.99
1500.2410.101.410.73
1600.009.531.251.15
1700.195.440.941,04
1800.277,801,330,82
1900.0010.041.590.98
2000.317.331.350.77
2100.6511.212.690.62
2200.114.050.500.65
2300.666.721.500.53
2400.298.061.090.92
2500.084.710.351.32
2600.157.021.110.97
2700.085.700.510.98
2800.007.961.380.83
2900.1810.551.271.09
3000.0014.463.010.77
3100.087.880.761.17
3200.257.231.060.85
3300.157.151.121.11
3400.2610.671.271.01
3500.208.141.640.85
3600.065.100.480.90
3700.2110.151.330.92
3800.003.810.560.67
3900.0011.451.401.16
4000,008,491,031,08
4100,156,580,920,92
4200.103.900.430.89
4300.006.971.060.94
4400.064.310.311.17
4500.4113.772.450.84
4600.105.680.750.91