Research Article
SARIMA-Orthogonal Polynomial Curve Fitting Model for Medium-Term Load Forecasting
Table 6
Electricity consumption forecasting results in 2014.
| Month | Original data | Model | Seasonal-ARIMA | Combined seasonal-ARIMA | Prediction | RE (%) | Prediction | RE (%) |
| Jan. 2014 | 4407.06 | 4524.87 | 2.650 | 4307.64 | −2.256 | Feb. 2014 | 3835.00 | 3713.78 | −3.161 | 3821.68 | −0.347 | Mar. 2014 | 4544.15 | 4439.32 | −2.307 | 4282.66 | −5.754 | Apr. 2014 | 4356.27 | 4431.63 | 1.730 | 4318.90 | −0.858 | May 2014 | 4492.04 | 4503.10 | 0.246 | 4459.16 | −0.732 | June 2014 | 4638.50 | 4699.41 | 1.313 | 4527.83 | −2.386 | Jul. 2014 | 5096.96 | 5282.25 | 3.635 | 5174.04 | 1.512 | Aug. 2014 | 5025.34 | 5348.25 | 6.426 | 5175.76 | 2.993 | Sep. 2014 | 4569.73 | 4730.72 | 3.523 | 4604.44 | 0.760 | Oct. 2014 | 4508.40 | 4591.07 | 1.834 | 4470.74 | −0.834 | Nov. 2014 | 4632.24 | 4736.44 | 2.249 | 4560.08 | −1.558 |
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