| A Machine Learning and Wavelet-Based Fault Location Method for Hybrid Transmission Lines H Livani, CY Evrenosoglu IEEE Transaction on Smart Grid, 2013 | 318 | 2013 |
| Traveling Wave-Based Fault Location Algorithm for Hybrid Multi-Terminal Circuits RJ Hamidi, H Livani IEEE Transactions on Power Delivery, 1-10, 2016 | 195 | 2016 |
| A Fault Classification and Localization Method for Three-Terminal Circuits Using Machine Learning H Livani, CY Evrenosoglu IEEE Transaction on Power Delivery, 2013 | 158 | 2013 |
| A single-ended fault location method for segmented HVDC transmission line H Livani, CY Evrenosoglu Electric Power Systems Research 107, 190-198, 2014 | 110 | 2014 |
| Fuzzy logic control of doubly fed induction generator wind turbine H Karimi-Davijani, A Sheikholeslami, H Livani, M Karimi-Davijani World Applied Sciences Journal 6 (4), 499-508, 2009 | 110 | 2009 |
| A PMU-data-driven disruptive event classification in distribution systems I Niazazari, H Livani Electric Power Systems Research 157, 251-260, 2018 | 71 | 2018 |
| An economic-reliability security-constrained optimal dispatch for microgrids V Sarfi, H Livani IEEE Transactions on Power Systems 33 (6), 6777-6786, 2018 | 68 | 2018 |
| Distributed cooperative control system for smart microgrids R Jalilzadeh Hamidi, H Livani, SH Hosseinian, GB Gharehpetian Electric Power Systems Research 130, 241-250, 2015 | 68* | 2015 |
| Traveling-Wave Detection Technique using Short-Time Matrix Pencil Method R Jalilzadeh Hamidi, H Livani, R Rezaiesarlak IEEE Transactions on Power Delivery, 2017 | 54 | 2017 |
| Disruptive event classification using PMU data in distribution networks I Niazazari, H Livani 2017 IEEE Power & Energy Society General Meeting, 1-5, 2017 | 52 | 2017 |
| A fault classification method in power systems using DWT and SVM classifier H Livani, CY Evrenosoğlu Pes T&d 2012, 1-5, 2012 | 52 | 2012 |
| Robust event classification using imperfect real-world PMU data Y Liu, L Yang, A Ghasemkhani, H Livani, VA Centeno, PY Chen, J Zhang IEEE Internet of Things Journal 10 (9), 7429-7438, 2022 | 51 | 2022 |
| Distribution system state estimation using compressive sensing M Majidi, M Etezadi-Amoli, H Livani International Journal of Electrical Power & Energy Systems 88, 175-186, 2017 | 48 | 2017 |
| Attack on grid event cause analysis: An adversarial machine learning approach I Niazazari, H Livani 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2020 | 42 | 2020 |
| A new control method for Dynamic Voltage Restorer with asymmetrical inverter legs based on fuzzy logic controller H Ezoji, A Sheikholeslami, M Rezanezhad, H Livani Elsevier, Simulation Modelling Practice and Theory 18 (6), 806-819, 2010 | 41 | 2010 |
| Block-phasor: A decentralized blockchain framework to enhance security of synchrophasor A Bhattacharjee, S Badsha, AR Shahid, H Livani, S Sengupta 2020 IEEE Kansas Power and Energy Conference (KPEC), 1-6, 2020 | 39 | 2020 |
| Distribution systems state estimation using sparsified voltage profile M Majidi, M Etezadi-Amoli, H Livani, MS Fadali Electric Power Systems Research 136, 69-78, 2016 | 39 | 2016 |
| Waveform measurement unit-based fault location in distribution feeders via short-time matrix pencil method and graph neural network M MansourLakouraj, H Hosseinpour, H Livani, M Benidris IEEE Transactions on Industry Applications 59 (2), 2661-2670, 2022 | 36 | 2022 |
| Adaptive neural network based intelligent secondary control for microgrids M Jafari, V Sarfi, A Ghasemkhani, H Livani, L Yang, H Xu, R Koosha 2018 IEEE Texas Power and Energy Conference (TPEC), 1-6, 2018 | 36 | 2018 |
| Myopic real-time decentralized charging management of plug-in hybrid electric vehicles RJ Hamidi, H Livani Electric Power Systems Research 143, 522-532, 2017 | 36 | 2017 |
Cansin Yaman EvrenosogluPrincipal Expert in Research Center for Energy Networks, ETH ZürichVerified email at fen.ethz.ch
