Risultati della ricerca - Ram Machlev

Measuring Peak Shaving Efficiency of an Energy Storage Device Under Load Uncertainty with Machine Learning-Based Forecasting Techniques di Lidor Goldshmidt, Tom Dovlekaev, Ram Machlev

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A public data-set for synchronous motor electrical faults diagnosis with CNN and LSTM reference classifiers di Zhenglong Sun, Ram Machlev, Qianchao Wang, Juri Belikov, Yoash Levron, Dmitry Baimel

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Verification of Utility-Scale Solar Photovoltaic Plant Models for Dynamic Studies of Transmission Networks di Ram Machlev, Zohar Batushansky, Sachin Soni, Vladimir Chadliev, Juri Belikov, Yoash Levron

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Technical Challenges of AI Data Center Integration into Power Grids—A Survey di Elinor Ginzburg-Ganz, Pavel Lifshits, Ram Machlev, Juri Belikov, Ziv Krieger, Yoash Levron

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Virtual Inertia Control Methods in Islanded Microgrids di Vjatseslav Skiparev, Ram Machlev, Nilanjan Roy Chowdhury, Yoash Levron, Eduard Petlenkov, Juri Belikov

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Effects of the COVID-19 Pandemic on Energy Systems and Electric Power Grids—A Review of the Challenges Ahead di Aviad Navon, Ram Machlev, David Carmon, Abiodun Emmanuel Onile, Juri Belikov, Yoash Levron

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Statistical Foundations of Generative AI for Optimal Control Problems in Power Systems: Comprehensive Review and Future Directions di Elinor Ginzburg-Ganz, Eden Dina Horodi, Omar Shadafny, Uri Savir, Ram Machlev, Yoash Levron

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Explainability-based Trust Algorithm for electricity price forecasting models di Leena Heistrene, Ram Machlev, Michael Perl, Juri Belikov, Dmitry Baimel, Kfir Levy, Shie Mannor, Yoash Levron

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Explainability and Transparency of Classifiers for Air-Handling Unit Faults Using Explainable Artificial Intelligence (XAI) di Molika Meas, Ram Machlev, Ahmet Kose, Aleksei Tepljakov, Lauri Loo, Yoash Levron, Eduard Petlenkov, Juri Belikov

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Applications of Game Theory to Design and Operation of Modern Power Systems: A Comprehensive Review di Aviad Navon, Gefen Ben Yosef, Ram Machlev, Shmuel Shapira, Nilanjan Roy Chowdhury, Juri Belikov, Ariel Orda, Yoash Levron

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Reinforcement Learning Model-Based and Model-Free Paradigms for Optimal Control Problems in Power Systems: Comprehensive Review and Future Directions di Elinor Ginzburg-Ganz, Itay Segev, Alexander Balabanov, Elior Segev, Sivan Kaully Naveh, Ram Machlev, Juri Belikov, Liran Katzir, Sarah Keren, Yoash Levron

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