Research Article

A Hybrid Forecasting Model Based on Empirical Mode Decomposition and the Cuckoo Search Algorithm: A Case Study for Power Load

Table 8

Comparison of power load forecasting result by using different methods on Saturday, Jun. 28, 2008, from Victoria.

Time0:002:004:006:008:0010:0012:0014:0016:0018:0020:0022:00Average

BPNNAE−74.206988.5026164.3428−94.2384−108.44599.3887−131.822−97.1293132.6263−9.9181−199.55695.9906−25.4772
MAE161.8614176.3894164.3428175.3241219.8255225.0625233.3815229.9635234.7046233.2327199.5555182.4864206.2306
MSE26380.0431503.4627247.6931227.5948517.8751693.0354905.2954093.6155631.9554814.439922.933457.2343708.18
MAPE2.99973.33423.40493.18343.36963.33403.51743.44063.54673.16522.96443.04983.3224

GABPNNAE95.3661152.997370.158595.864321.4256−10.301165.87676.8887−16.0091−14.222497.464519.21113.9264
MAE163.6398152.9973142.3091180.6853192.6446181.9683151.09198.873168.6475242.7444202.9146183.0895178.1422
MSE27233.9423592.2720427.4533187.6137879.3534166.3523242.5540431.0928919.4560044.7941793.5434130.6833502.97
MAPE3.03242.89362.94943.27362.92622.70292.27103.00802.54613.30613.02073.05762.8656

WNNAE175.889627.8588−7.928586.3077139.9775201.23190.723139.910418.8402−108.905−114.363193.15494.4674
MAE175.8896156.0152172.6755164.069207.6373201.231193.4483205.2855183.8711259.0394186.1753193.1549200.6168
MSE31845.6825360.0730586.0327917.845875.742312.9638650.6743776.734700.6369347.1535949.5438952.5142677.08
MAPE3.26042.95073.57512.97663.14922.99882.94273.14252.76263.51882.75913.23853.2301

CSAWNNAE−44.652−131.152−63.016511.4112−9.5339−0.7664171.5844193.78147.9337106.70223.6645−69.781912.6984
MAE124.0692131.1523114.0833146.3165167.5085165.3564171.5844193.7814195.2323191.7276146.8918141.5059156.8164
MSE15804.7717589.313292.6321642.0629014.7927346.8130261.3137723.0338246.5336979.8121623.7520248.9525425.16
MAPE2.29952.47812.36042.65792.53192.48032.57862.92032.95272.61132.18182.36312.5248

ARIMAAE18.5613124.0827−14.7831111.8472−20.6124−19.7243120.304826.1011−146.313−172.19823.3302145.147118.9775
MAE227.3289204.722167.4229212.6136230.4365247.6076230.858253.9037267.5722296.6621255.3748241.6215233.6259
MSE52394.2143176.6428355.6845620.2953698.6662570.8254191.7465290.672666.2390860.4767238.2459345.3356855.39
MAPE4.21743.87413.47183.85043.55983.70943.47993.84334.05574.02173.76274.04333.7716

ENNAE−98.995−95.808117.11726.011690.0902−141.101100.54934.7625−229.62418.1665126.283911.74236.5262
MAE189.6312190.0733171.6852196.7854231.2569235.0732210.1064229.5182229.6243230.8097254.2102198.2688210.274
MSE36109.836258.9829924.1839256.1856148.3556021.7444222.4753380.6252793.3153676.6764753.5239571.8445444.62
MAPE3.51633.59743.55383.56183.46503.49013.18733.45003.48513.13793.75913.31643.3890

RBFNNAE−98.2027−73.241557.359477.13169.461996.7952101.7499−14.9842−97.230697.9996−110.21686.7962−11.4032
MAE172.1148156.3662146.8716171.0673214.0821228.8974212.5963212.2372213.3772228.0278213.4688169.8724196.9359
MSE30159.7124592.222195429579.2447567.1253850.5745459.1445699.9445988.6452566.6445607.0228877.8839869.92
MAPE3.19122.95433.03863.09423.22663.38893.22463.18323.22143.11223.16052.84053.1754

EMD-CSAWNNAE35.062151.593841.9313−56.3883−10.865551.1997−42.395984.131070.183982.823346.4874−55.18946.6501
MAE91.3676100.377381.286392.1573108.8744104.7747119.9606137.012110.6269141.76109.7464115.5855109.712
MSE8629.5110214.746858.9978885.9512543.1611063.3114958.0619196.8812798.0220368.1712301.4613873.7612612.17
MAPE1.69511.89681.68981.65761.62981.57981.81182.05031.66391.93251.63291.91921.7699