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Medium-term load prediction based on GA-LightGBM- LSTM:
, In:
2022 9th International Forum on Electrical Engineering and Automation (IFEEA)
,
Cui, Genghao
;
Yu, Saisai
;
Song, Dongming
. - p. 1-5 , 2022
Link:
https://doi.org/10.1109/IFEEA57288.2022.10038071
RT T1 <cTitle>2022 9th International Forum on Electrical Engineering and Automation (IFEEA)</cTitle>: T1 <Title>Medium-term load prediction based on GA-LightGBM- LSTM</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10038071&Exemplar=1&LAN=DE A1 Cui, Genghao A1 Yu, Saisai A1 Song, Dongming A1 You, Yongqiang YR 2022 K1 Training K1 Analytical models K1 Load forecasting K1 Power supplies K1 Predictive models K1 Prediction algorithms K1 Data models K1 Forecasting K1 Load modeling K1 Genetic algorithms K1 component K1 Medium-term load forecast K1 Screening Features K1 Long-term and short-term memory neural networks (LSTM) K1 Light gradient lifter (LightGBM) K1 genetic algorithm (it GA) SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/IFEEA57288.2022.10038071 DO https://doi.org/10.1109/IFEEA57288.2022.10038071 SF ELIB - SuUB Bremen
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