Research Article

Functional Data Approach for Short-Term Electricity Demand Forecasting

Table 4

Hourly forecasting errors for the electricity demand using FAR (p), FARX (p), and AR (7) models.

HourErrorsFAR (p)FARX (p)AR (7)

1MAE959.445703.9081148.178
MAPE4.6221.9626.883
RMSE1298.152896.1261570.79

2MAE882.311651.4841096.252
MAPE4.30781.8378.107
RMSE1157.836856.8421586.941

3MAE972.551694.9331079.363
MAPE5.3351.96910.089
RMSE1231.743919.4931563.431

4MAE1239.432723.0641813.955
MAPE6.2482.04410.190
RMSE1271.563966.1331912.950

5MAE1006.819770.7351518.308
MAPE7.2692.1468.461
RMSE1484.1611122.1341545.184

6MAE907.918877.4361068.968
MAPE7.8963.37610.272
RMSE1643.7871162.1241980.238

7MAE1432.7251198.6241972.094
MAPE7.1193.0159.938
RMSE1786.4851630.9142363.881

8MAE1693.7341428.4192078.932
MAPE6.1743.47.917
RMSE2299.9921677.4272824.99

9MAE1870.8951380.5342068.726
MAPE5.1773.2146.686
RMSE1918.8161317.0622392.004

10MAE1727.9771303.5221995.832
MAPE4.5773.0076.538
RMSE2024.7481791.1352576.147

11MAE1641.9291278.961937.907
MAPE4.8052.9525.295
RMSE1931.6041332.2592379.148

12MAE1712.4081279.8192070.237
MAPE4.7522.9698.598
RMSE1956.9121699.012492.603

13MAE1504.9711250.9541835.173
MAPE4.6842.925.283
RMSE1983.9861642.1442452.337

14MAE1689.1841240.9221910.258
MAPE4.8772.9036.259
RMSE2106.1951657.0132541.691

15MAE1369.6191026.7131574.099
MAPE5.892.8749.283
RMSE1778.6691373.8662319.12

16MAE1445.2841020.281737.731
MAPE4.7282.8527.031
RMSE1768.3461650.8322249.522

17MAE1340.768922.1931711.119
MAPE5.7313.825.927
RMSE1621.0131123.7762061.409

18MAE1401.9591204.1521662.161
MAPE6.1442.7586.775
RMSE1812.9231566.0422338.134

19MAE1314.4331151.8991657.877
MAPE5.9522.626.732
RMSE1790.0241564.7452149.795

20MAE1405.251227.0781648.65
MAPE3.9552.7535.77
RMSE2213.6711685.0732643.688

21MAE1526.5281292.2261989.541
MAPE4.2732.9527.782
RMSE2273.4981773.1762931.271

22MAE1540.7231316.0391971.014
MAPE4.4323.097.624
RMSE1954.121765.1612354.609

23MAE1721.7271280.9232252.269
MAPE4.8293.1246.978
RMSE1851.8481686.1582360.295

24MAE1820.8981391.1922567.675
MAPE7.793.10210.543
RMSE1781.0211532.952145.987