Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Yoash, Levron"'
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 164, Iss , Pp 110400- (2025)
Three-phase circuits that are Symmetrically Configured in the Narrow Sense (SCNS) have been defined in previous works as circuits which dq0 dynamic model does not depend on the transformation’s reference angle. This property leads to dynamic models
Externí odkaz:
https://doaj.org/article/cba1b05aa7e54a26b0f43dfcb59c2a2b
Autor:
Elinor Ginzburg-Ganz, Itay Segev, Alexander Balabanov, Elior Segev, Sivan Kaully Naveh, Ram Machlev, Juri Belikov, Liran Katzir, Sarah Keren, Yoash Levron
Publikováno v:
Energies, Vol 17, Iss 21, p 5307 (2024)
This paper reviews recent works related to applications of reinforcement learning in power system optimal control problems. Based on an extensive analysis of works in the recent literature, we attempt to better understand the gap between reinforcemen
Externí odkaz:
https://doaj.org/article/abc850d233894bf09cfc94db929cf54c
Autor:
Cai, Guowei, Lei, Xuan, Sun, Zhenglong, Gao, Bo, Wei, Xiaoqiang, Yang, Hao, Juri, Belikov, Yoash, Levron
Publikováno v:
In Renewable Energy March 2024 223
Autor:
Sun, Zhenglong, Ram, Machlev, Jiang, Chao, Wang, Qianchao, Michael, Perl, Juri, Belikov, Yoash, Levron
Publikováno v:
In Energy Reports December 2023 9:397-413
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 434-443 (2023)
Traditional event-driven emergency load shedding determines the quantitative strategy by simulation of a specific set of expected faults, which requires high model accuracy and operation mode matching. However, due to the model complexity of renewabl
Externí odkaz:
https://doaj.org/article/d5cde57309724fe6842e20c19c8d9ab2
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:
IET Renewable Power Generation, Vol 16, Iss 2, Pp 300-312 (2022)
Abstract This paper proposes a power system multimode generator energy loss factor (GELF) based on energy flow method under environmental excitation. This index can evaluate generator damping changes in different oscillation modes in power systems, t
Externí odkaz:
https://doaj.org/article/c2bee927c2df4111b63fe4302506fe5e
Publikováno v:
iScience, Vol 26, Iss 4, Pp 106415- (2023)
Summary: Decreasing costs of distributed generation and storage, alongside increasing network charges, provide consumers with a growing incentive to defect from the main grid. On a large scale, this may lead to price inflation, hindrance of the energ
Externí odkaz:
https://doaj.org/article/ae542bb75ed5459487bab5f01fa778ca
Publikováno v:
Energy Reports, Vol 7, Iss , Pp 997-1015 (2021)
Innovative solutions targeting improvements in the behavior of energy consumers will be required to achieve desired efficiency in the use of energy. Among other measures for stimulating consumers’ behavior changes based on attention triggers, perso
Externí odkaz:
https://doaj.org/article/567b14f3ea124c26b0be1bb522acb628