Short-Term-Load-Forecasting-for-Electric-Power-Systems

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

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`

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
data		data
model		model
result		result
tools		tools
train		train
README.md		README.md

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