Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Ram, Machlev"'
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:
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 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:
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
Publikováno v:
IEEE Access, Vol 8, Pp 127234-127243 (2020)
In this paper we explore how the COVID-19 pandemic, also known as Coronavirus pandemic, affected the operation of small electric grids, and what can this event teach us on the readiness of such grids in the face of future global health crises. We foc
Externí odkaz:
https://doaj.org/article/5894df51b9ec400d9f28fcb3090dcdc2
Autor:
Molika Meas, Ram Machlev, Ahmet Kose, Aleksei Tepljakov, Lauri Loo, Yoash Levron, Eduard Petlenkov, Juri Belikov
Publikováno v:
Sensors, Vol 22, Iss 17, p 6338 (2022)
In recent years, explainable artificial intelligence (XAI) techniques have been developed to improve the explainability, trust and transparency of machine learning models. This work presents a method that explains the outputs of an air-handling unit
Externí odkaz:
https://doaj.org/article/69163455913a43cea08ea8704bedf184
Publikováno v:
IEEE Transactions on Industrial Informatics. 18:5127-5137
Advanced machine learning techniques have recently demonstrated outstanding performance when applied to Power Quality Disturbance (PQD) classification. Nevertheless, a possible problem is that power experts may find it hard to trust the results of su
Autor:
Vjatseslav Skiparev, Ram Machlev, Nilanjan Roy Chowdhury, Yoash Levron, Eduard Petlenkov, Juri Belikov
Publikováno v:
Energies, Vol 14, Iss 6, p 1562 (2021)
Although the deployment and integration of isolated microgrids is gaining widespread support, regulation of microgrid frequency under high penetration levels of renewable sources is still being researched. Among the numerous studies on frequency stab
Externí odkaz:
https://doaj.org/article/448eabb704d14f388cc6b358c05a2dc8
Publikováno v:
Energies, Vol 14, Iss 4, p 1056 (2021)
The COVID-19 pandemic represents not just a global health crisis, but may signal the beginning of a new era of economic activity, the potential consequences of which we currently do not fully understand. In this context, the mid-to-long-range impacts
Externí odkaz:
https://doaj.org/article/f38b33b601754936acda81efda4a3a15