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1 Ergebnisse
1
Enhancing Solar Energy Prognostics: A Machine Learning Base..:
, In:
2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
,
Gurjar, Ameya
;
Kale, Anish
;
Randive, Prajwal
.. - p. 937-944 , 2023
Link:
https://doi.org/10.1109/UPCON59197.2023.10434922
RT T1 <cTitle>2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)</cTitle>: T1 <Title>Enhancing Solar Energy Prognostics: A Machine Learning Based Approach</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10434922&Exemplar=1&LAN=DE A1 Gurjar, Ameya A1 Kale, Anish A1 Randive, Prajwal A1 Basu, Riddhijit A1 Kulkarni, Rohan S. YR 2023 SN 2687-7767 K1 Renewable energy sources K1 Solar energy K1 Machine learning K1 Predictive models K1 Data models K1 Solar radiation K1 Forecasting K1 Long Short-Term Memory (LSTM) K1 Linear Regression K1 Ridge Regression K1 XG Boost SP 937 OP 944 LK http://dx.doi.org/https://doi.org/10.1109/UPCON59197.2023.10434922 DO https://doi.org/10.1109/UPCON59197.2023.10434922 SF ELIB - SuUB Bremen
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