Research Article

A New Hybrid Model Based on Data Preprocessing and an Intelligent Optimization Algorithm for Electrical Power System Forecasting

Table 3

The actual and forecasted value and APE obtained from MFA-BP, E-BP, and E-MFA-BP and the value of evaluation criteria.

TimeActualMFA-BPE-BPE-MFA-BP
ForecastedAPE (%)ForecastedAPE (%)ForecastedAPE (%)

Short-term wind speed time series

0:007.88.58.97%7.91.28%8.13.85%
4:009.68.88.33%9.42.08%9.33.12%
8:007.779.09%7.35.19%7.43.90%
12:009.510.27.37%9.94.21%9.32.11%
16:0011.310.38.85%126.19%11.84.42%
20:0011.910.98.40%11.44.20%11.53.36%

MAPE (%)6.62%4.31%3.86%
MAE0.5200.4970.468
MSE 0.4720.3920.389
MPE11.03%6.20%4.51%

Electrical load time series

0:009185.19441.22.79%9315.21.42%9289.71.14%
4:007144.97338.22.71%7280.61.90%7253.01.51%
8:0010356.910579.22.15%10488.61.27%10502.51.41%
12:009950.710273.23.24%10215.32.66%10111.41.61%
16:009708.89962.42.61%9871.51.67%9797.50.91%
20:0011073.110724.13.15%10835.62.15%10801.12.46%

MAPE (%)2.97%1.48%1.23%
MAE103.090100.40195.919
MSE (104)2.0141.6511.488
MPE3.56%2.93%2.51%

Electricity price time series

0:0026.629.289.91%28.256.04%27.985.03%
4:0018.820.6810.00%19.956.12%19.835.48%
8:0033.730.828.60%31.735.90%32.015.07%
12:0028.931.338.22%30.966.94%30.455.18%
16:0029.932.478.49%31.635.68%31.635.68%
20:0034.431.847.55%33.064.01%32.655.20%

MAPE (%)8.75%5.92%5.96%
MAE3.8942.5122.505
MSE 57.02530.13311.788
MPE11.31%7.07%5.98%