Research Article

SARIMA-Orthogonal Polynomial Curve Fitting Model for Medium-Term Load Forecasting

Table 6

Electricity consumption forecasting results in 2014.

MonthOriginal dataModel
Seasonal-ARIMACombined seasonal-ARIMA
PredictionRE (%)PredictionRE (%)

Jan. 20144407.064524.872.6504307.64−2.256
Feb. 20143835.003713.78−3.1613821.68−0.347
Mar. 20144544.154439.32−2.3074282.66−5.754
Apr. 20144356.274431.631.7304318.90−0.858
May 20144492.044503.100.2464459.16−0.732
June 20144638.504699.411.3134527.83−2.386
Jul. 20145096.965282.253.6355174.041.512
Aug. 20145025.345348.256.4265175.762.993
Sep. 20144569.734730.723.5234604.440.760
Oct. 20144508.404591.071.8344470.74−0.834
Nov. 20144632.244736.442.2494560.08−1.558