Search Results - "Machlev, Ram"

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

“…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…”
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Uses of the digital twins concept for energy services, intelligent recommendation systems, and demand side management: A review by Onile, Abiodun E., Machlev, Ram, Petlenkov, Eduard, Levron, Yoash, Belikov, Juri

“…Innovative solutions targeting improvements in the behavior of energy consumers will be required to achieve desired efficiency in the use of energy. Among…”
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Readiness of Small Energy Markets and Electric Power Grids to Global Health Crises: Lessons From the COVID-19 Pandemic by Carmon, David, Navon, Aviad, Machlev, Ram, Belikov, Juri, Levron, Yoash

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

“…In recent years, explainable artificial intelligence (XAI) techniques have been developed to improve the explainability, trust and transparency of machine…”
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Harmonic Loads Classification by Means of Currents’ Physical Components by Beck, Yuval, Machlev, Ram

“…Electric load identification and classification for smart grid environment can improve the power service for both consumers and producers. The main concept of…”
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Virtual Inertia Control Methods in Islanded Microgrids by Skiparev, Vjatseslav, Machlev, Ram, Chowdhury, Nilanjan Roy, Levron, Yoash, Petlenkov, Eduard, Belikov, Juri

“…Although the deployment and integration of isolated microgrids is gaining widespread support, regulation of microgrid frequency under high penetration levels…”
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A public data-set for synchronous motor electrical faults diagnosis with CNN and LSTM reference classifiers by Sun, Zhenglong, Machlev, Ram, Wang, Qianchao, Belikov, Juri, Levron, Yoash, Baimel, Dmitry

“…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…”
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PF-FEDG: An open-source data generator for frequency disturbance event detection with deep-learning reference classifiers by Sun, Zhenglong, Ram, Machlev, Jiang, Chao, Wang, Qianchao, Michael, Perl, Juri, Belikov, Yoash, Levron

“…Accurate and fast classification of FDEs is crucial to power systems situation awareness and stability control. However, various database used in recent…”
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Verification of Utility-Scale Solar Photovoltaic Plant Models for Dynamic Studies of Transmission Networks by Machlev, Ram, Batushansky, Zohar, Soni, Sachin, Chadliev, Vladimir, Belikov, Juri, Levron, Yoash

“…In recent years, there has been a growing need for accurate models that describe the dynamics of renewable energy sources, especially photovoltaic sources and…”
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Reinforcement Learning Model-Based and Model-Free Paradigms for Optimal Control Problems in Power Systems: Comprehensive Review and Future Directions by Ginzburg-Ganz, Elinor, Segev, Itay, Balabanov, Alexander, Segev, Elior, Kaully Naveh, Sivan, Machlev, Ram, Belikov, Juri, Katzir, Liran, Keren, Sarah, Levron, Yoash

“…This paper reviews recent works related to applications of reinforcement learning in power system optimal control problems. Based on an extensive analysis of…”
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Applications of Game Theory to Design and Operation of Modern Power Systems: A Comprehensive Review by Navon, Aviad, Ben Yosef, Gefen, Machlev, Ram, Shapira, Shmuel, Roy Chowdhury, Nilanjan, Belikov, Juri, Orda, Ariel, Levron, Yoash

“…In this work, we review papers that employ game theoretic tools to study the operation and design of modern electric grids. We consider four topics in this…”
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Explainability-based Trust Algorithm for electricity price forecasting models by Heistrene, Leena, Machlev, Ram, Perl, Michael, Belikov, Juri, Baimel, Dmitry, Levy, Kfir, Mannor, Shie, Levron, Yoash

“…Advanced machine learning (ML) algorithms have outperformed traditional approaches in various forecasting applications, especially electricity price…”
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EV battery fault diagnostics and prognostics using deep learning: Review, challenges & opportunities by Machlev, Ram

“…The widespread growth of electric vehicles (EV)s has highlighted the need for effective diagnostic and prognostic techniques for EV battery faults. Lately,…”
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Modified Cross-Entropy Method for Classification of Events in NILM Systems by Machlev, Ram, Levron, Yoash, Beck, Yuval

“…Non-intrusive load monitoring is an algorithm or process that disaggregates the total power in a facility to identify consumption of individual appliances. In…”
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Dimension reduction for NILM classification based on principle component analysis by Machlev, Ram, Tolkachov, Dmitri, Levron, Yoash, Beck, Yuval

“…•This paper suggests to use PCA as an efficient dimension reduction method for NILM.•The method can be used with any NILM classification technique, various…”
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Measuring Explainability and Trustworthiness of Power Quality Disturbances Classifiers Using XAI-Explainable Artificial Intelligence by Machlev, Ram, Perl, Michael, Belikov, Juri, Levy, Kfir Yehuda, Levron, Yoash

“…Advanced machine learning techniques have recently demonstrated outstanding performance when applied to power quality disturbance (PQD) classification…”
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MO-NILM: A multi-objective evolutionary algorithm for NILM classification by Machlev, Ram, Belikov, Juri, Beck, Yuval, Levron, Yoash

“…Non-intrusive load monitoring (NILM) techniques estimate the consumption of individual appliances in a household or facility, based on readings of a…”
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A new resonant fault current limiter for improved wind turbine transient stability by Demin, Slava, Sitbon, Moshe, Aharon, Ilan, Barbi, Eli, Machlev, Ram, Belikov, Juri, Levron, Yoash, Baimel, Dmitry

“…•This paper proposes a new resonance-type FCL that limits the fault current for the entire fault period.•The fault current is limited independently of the…”
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PMU placement for fault line location using neural additive models—A global XAI technique by Perl, Michael, Sun, Zhenglong, Machlev, Ram, Belikov, Juri, Levy, Kfir Yehuda, Levron, Yoash

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Neural Architecture Search (NAS) for designing optimal power quality disturbance classifiers by Wang, Qianchao, Kapuza, Itamar, Baimel, Dmitry, Belikov, Juri, Levron, Yoash, Machlev, Ram

“…Deep learning techniques have recently demonstrated outstanding success when used for Power Quality Disturbance (PQD) classification. However, a core obstacle…”
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