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1
book article
Day-ahead PV output power forecasting utilizing boosting recursive lightGBM-LSTM framework
Hokmabad, Hossein Nourollahi
;
Husev, Oleksandr
;
Vinnikov, Dmitri
;
Belikov, Juri
;
Petlenkov, Eduard
IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe 2023) : proceedings
2023
/
5 p
https://doi.org/10.1109/ISGTEUROPE56780.2023.10408090
book article
2
journal article
Enhancing PV hosting capacity and mitigating congestion in distribution networks with deep learning based PV forecasting and battery management
Shabbir, Noman
;
Kütt, Lauri
;
Astapov, Victor
;
Daniel, Kamran
;
Jawad, Muhammad
;
Husev, Oleksandr
;
Rosin, Argo
;
Martins, Joao
Applied energy
2024
/
art. 123770
https://doi.org/10.1016/j.apenergy.2024.123770
journal article
3
journal article EST
/
journal article ENG
PF-FEDG : an open-source data generator for frequency disturbance event detection with deep-learning reference classifiers
Sun, Zhenglong
;
Ram, Machlev
;
Jiang, Chao
;
Wang, Qianchao
;
Michael, Perl
;
Belikov, Juri
;
Yoash, Levron
Energy reports
2023
/
p. 397-413
https://doi.org/10.1016/j.egyr.2022.11.182
Journal metrics at Scopus
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journal article EST
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journal article ENG
4
book article
Real-time gait anomaly detection using 1D-CNN and LSTM
Rostovski, Jakob
;
Ahmadilivani, Mohammad Hasan
;
Krivošei, Andrei
;
Kuusik, Alar
;
Alam, Muhammad Mahtab
Digital Health and Wireless Solutions : First Nordic Conference, NCDHWS 2024, Oulu, Finland, May 7–8, 2024 : Proceedings, Part II
2024
/
p. 260-278
https://doi.org/10.1007/978-3-031-59091-7_17
book article
Number of records 4, displaying
1 - 4
keyword
5
1.
CNN LSTM
2.
long short -term memory (LSTM)
3.
long short-term memory (LSTM)
4.
long-short-term memory (LSTM)
5.
LSTM
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