Short-Term-Load-Forecasting-for-Electric-Power-Systems ENTSO-E : Inputing the ENTSO-E Hourly Load. Models NRMSE MAE MAPE HMM 0.255 1058.75 0.148 ARIMA 0.198 807.97 0.108 DWT-ARIMA 0.0805 565.91 0.0876 SVR 0.0409 146.80 0.0210 GPR 0.0435 162.34 0.0232 FFNN 0.0504 200.59 0.0282 Clustering 0.0684 271.51 0.0384 LSTM 0.0451 167.85 0.0239 Seq2Seq 0.0424 153.74 0.0219 DBN 0.0434 162.38 0.0232 RFR 0.0411 154.94 0.0221 GDRT 0.0424 157.87 0.0225 XGBoost 0.0418 154.14 0.0219 ENTSO-E & NCEI ISD : Inputing the ENTSO-E Hourly Load, Weather and Calendar. Models NRMSE MAE MAPE SVR 0.0390 146.30 0.0209 LSTM 0.0411 155.34 0.0218 DBN 0.0398 142.04 0.0205 Seq2Seq 0.0417 156.29 0.0225 Seq2Seq-LSTM 0.0376 137.02 0.0195 Performance
