Ram Machlev
Ram Machlev
Electrical & Computer Engineering, Technion, Israel Institute of Technology, General Motors
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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
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
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
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
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
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
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
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
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
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
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
Virtual inertia control methods in islanded microgrids
V Skiparev, R Machlev, NR Chowdhury, Y Levron, E Petlenkov, J Belikov
Energies 14 (6), 1562, 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
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
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
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
Harmonic loads classification by means of currents’ physical components
Y Beck, R Machlev
Energies 12 (21), 4137, 2019
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
EV battery fault diagnostics and prognostics using deep learning: Review, challenges & opportunities
R Machlev
Journal of Energy Storage 83, 110614, 2024
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
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