Zobrazeno 1 - 10
of 447
pro vyhledávání: '"Baimel A"'
Autor:
Ginzburg-Ganz, Elinor, Eyal, Ittay, Machlev, Ram, Baimel, Dmitry, Santosh, Leena, Belikov, Juri, Levron, Yoash
We propose an extended demand response program, based on ancillary service for supplying flexible electricity demand. In our proposed scheme, we suggest a broader management model to control the scheduling and power consumption of Bitcoin mining mach
Externí odkaz:
http://arxiv.org/abs/2411.11119
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 220-225 (2023)
This paper presents an extension of a 5-level T-Type inverter to a high-power multi-level inverter that can be implemented in electric vehicles and trucks. The proposed inverter possesses several advantages over standard topologies such as Neutral Po
Externí odkaz:
https://doaj.org/article/51a0aa15f1e74180a411b322108f3641
Autor:
Aharon, Ilan, Shmaryahu, Aaron, Sitbon, Moshe, Dagan, Kfir Jack, Baimel, Dmitry, Amar, Nissim
Publikováno v:
In International Journal of Electrical Power and Energy Systems June 2024 157
Akademický článek
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Publikováno v:
In Energy and AI October 2023 14
Autor:
Heistrene, Leena, Machlev, Ram, Perl, Michael, Belikov, Juri, Baimel, Dmitry, Levy, Kfir, Mannor, Shie, Levron, Yoash
Publikováno v:
In Energy and AI October 2023 14
Publikováno v:
Sensors, Vol 24, Iss 9, p 2866 (2024)
This paper presents a novel method for forecasting the impact of cloud cover on photovoltaic (PV) fields in the nowcasting term, utilizing PV panels as sensors in a combination of physical and persistence models and integrating energy storage system
Externí odkaz:
https://doaj.org/article/4139215fd98c4c128c69edeb7749a42c
Publikováno v:
Energy and AI, Vol 14, Iss , Pp 100274- (2023)
In the last two decades, motor operation monitoring tools have become a necessity, and many studies focus on the detection and diagnosis of motor electrical faults. However, at present, a core obstacle that prevents the direct comparison of such clas
Externí odkaz:
https://doaj.org/article/8923eb7ca0ed464785af048f2b0b5962
Autor:
Leena Heistrene, Ram Machlev, Michael Perl, Juri Belikov, Dmitry Baimel, Kfir Levy, Shie Mannor, Yoash Levron
Publikováno v:
Energy and AI, Vol 14, Iss , Pp 100259- (2023)
Advanced machine learning (ML) algorithms have outperformed traditional approaches in various forecasting applications, especially electricity price forecasting (EPF). However, the prediction accuracy of ML reduces substantially if the input data is
Externí odkaz:
https://doaj.org/article/11eb963bb8844d9caeb7ef96ebe7f27f
Publikováno v:
In Journal of Energy Storage 1 September 2023 67