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1
Day-ahead Electricity Price Forecasting for High Proportion..:
, In:
2022 2nd International Conference on Electrical Engineering and Mechatronics Technology (ICEEMT)
,
Dai, Yi
;
Ding, Qia
;
Chang, Li
. - p. 316-320 , 2022
Link:
https://doi.org/10.1109/ICEEMT56362.2022.9862690
RT T1 <cTitle>2022 2nd International Conference on Electrical Engineering and Mechatronics Technology (ICEEMT)</cTitle>: T1 <Title>Day-ahead Electricity Price Forecasting for High Proportion Wind Power Market</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9862690&Exemplar=1&LAN=DE A1 Dai, Yi A1 Ding, Qia A1 Chang, Li A1 Tan, Chao YR 2022 K1 Correlation coefficient K1 Correlation K1 Mechatronics K1 Input variables K1 Neural networks K1 Wind power generation K1 Predictive models K1 electricity price forecast K1 clean energy K1 pearson correlation coefficient K1 long-short term memory neural network K1 attention mechanism SP 316 OP 320 LK http://dx.doi.org/https://doi.org/10.1109/ICEEMT56362.2022.9862690 DO https://doi.org/10.1109/ICEEMT56362.2022.9862690 SF ELIB - SuUB Bremen
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