| Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunities R Machlev, L Heistrene, M Perl, KY Levy, J Belikov, S Mannor, Y Levron Energy and AI 9, 100169, 2022 | 151 | 2022 |
| Uses of the digital twins concept for energy services, intelligent recommendation systems, and demand side management: A review AE Onile, R Machlev, E Petlenkov, Y Levron, J Belikov Energy Reports 7, 997-1015, 2021 | 121 | 2021 |
| Effects of the COVID-19 pandemic on energy systems and electric power grids—A review of the challenges ahead A Navon, R Machlev, D Carmon, AE Onile, J Belikov, Y Levron Energies 14 (4), 1056, 2021 | 95 | 2021 |
| Modified cross-entropy method for classification of events in NILM systems R Machlev, Y Levron, Y Beck IEEE Transactions on Smart Grid 10 (5), 4962-4973, 2018 | 55 | 2018 |
| Readiness of small energy markets and electric power grids to global health crises: Lessons from the COVID-19 pandemic D Carmon, A Navon, R Machlev, J Belikov, Y Levron Ieee Access 8, 127234-127243, 2020 | 54 | 2020 |
| A review of optimal control methods for energy storage systems-energy trading, energy balancing and electric vehicles R Machlev, N Zargari, NR Chowdhury, J Belikov, Y Levron Journal of Energy Storage 32, 101787, 2020 | 47 | 2020 |
| Measuring explainability and trustworthiness of power quality disturbances classifiers using XAI—Explainable artificial intelligence R Machlev, M Perl, J Belikov, KY Levy, Y Levron IEEE Transactions on Industrial Informatics 18 (8), 5127-5137, 2021 | 40 | 2021 |
| MO-NILM: A multi-objective evolutionary algorithm for NILM classification R Machlev, J Belikov, Y Beck, Y Levron Energy and Buildings 199, 134-144, 2019 | 39 | 2019 |
| Open source dataset generator for power quality disturbances with deep-learning reference classifiers R Machlev, A Chachkes, J Belikov, Y Beck, Y Levron Electric Power Systems Research 195, 107152, 2021 | 34 | 2021 |
| Dimension reduction for NILM classification based on principle component analysis R Machlev, D Tolkachov, Y Levron, Y Beck Electric Power Systems Research 187, 106459, 2020 | 33 | 2020 |
| Applications of game theory to design and operation of modern power systems: A comprehensive review A Navon, G Ben Yosef, R Machlev, S Shapira, N Roy Chowdhury, ... Energies 13 (15), 3982, 2020 | 28 | 2020 |
| Virtual inertia control methods in islanded microgrids V Skiparev, R Machlev, NR Chowdhury, Y Levron, E Petlenkov, J Belikov Energies 14 (6), 1562, 2021 | 27 | 2021 |
| Verification of utility-scale solar photovoltaic plant models for dynamic studies of transmission networks R Machlev, Z Batushansky, S Soni, V Chadliev, J Belikov, Y Levron Energies 13 (12), 3191, 2020 | 16 | 2020 |
| Explainability and transparency of classifiers for air-handling unit faults using explainable artificial intelligence (XAI) M Meas, R Machlev, A Kose, A Tepljakov, L Loo, Y Levron, E Petlenkov, ... Sensors 22 (17), 6338, 2022 | 13 | 2022 |
| A public data-set for synchronous motor electrical faults diagnosis with CNN and LSTM reference classifiers Z Sun, R Machlev, Q Wang, J Belikov, Y Levron, D Baimel Energy and AI 14, 100274, 2023 | 8 | 2023 |
| Harmonic loads classification by means of currents’ physical components Y Beck, R Machlev Energies 12 (21), 4137, 2019 | 8 | 2019 |
| PF-FEDG: An open-source data generator for frequency disturbance event detection with deep-learning reference classifiers Z Sun, M Ram, C Jiang, Q Wang, P Michael, B Juri, L Yoash Energy Reports 9, 397-413, 2023 | 6 | 2023 |
| Distributed storage placement policy for minimizing frequency deviations: A combinatorial optimization approach based on enhanced cross-entropy method R Machlev, NR Chowdhury, J Belikov, Y Levron International Journal of Electrical Power & Energy Systems 134, 107332, 2022 | 6 | 2022 |
| Explaining the decisions of deep learning models for load disaggregation (nilm) based on xai R Machlev, A Malka, M Perl, Y Levron, J Belikov 2022 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2022 | 4 | 2022 |
| Explainable AI based Fault Detection and Diagnosis System for Air Handling Units. J Belikov, M Meas, R Machlev, A Kose, A Tepljakov, L Loo, E Petlenkov, ... ICINCO, 271-279, 2022 | 3 | 2022 |
Yoash LevronElectrical Engineering, Technion Institute of TechnologyVerified email at ee.technion.ac.il
