| Detecting stealthy false data injection using machine learning in smart grid M Esmalifalak, L Liu, N Nguyen, R Zheng, Z Han IEEE Systems Journal 11 (3), 1644-1652, 2014 | 714 | 2014 |
| Detecting false data injection attacks on power grid by sparse optimization L Liu, M Esmalifalak, Q Ding, VA Emesih, Z Han IEEE Transactions on Smart Grid 5 (2), 612-621, 2014 | 509 | 2014 |
| Bad Data Injection Attack and Defense in Electricity Market Using Game Theory Study M Esmalifalak, G Shi, Z Han, L Song Transaction on Smart Grid 4 (1), 160-169, 2013 | 236 | 2013 |
| Bad data injection in smart grid: attack and defense mechanisms Y Huang, M Esmalifalak, H Nguyen, R Zheng, Z Han, H Li, L Song IEEE Communications Magazine 51 (1), 27-33, 2013 | 194 | 2013 |
| Stealth false data injection using independent component analysis in smart grid M Esmalifalak, H Nguyen, R Zheng, Z Han 2011 IEEE international conference on smart grid communications …, 2011 | 180 | 2011 |
| A data mining approach for fault diagnosis: An application of anomaly detection algorithm A Purarjomandlangrudi, AH Ghapanchi, M Esmalifalak Measurement 55, 343-352, 2014 | 162 | 2014 |
| Autonomous demand response using stochastic differential games N Forouzandehmehr, M Esmalifalak, H Mohsenian-Rad, Z Han IEEE Transactions on Smart Grid 6 (1), 291-300, 2014 | 86 | 2014 |
| Effect of stealthy bad data injection on network congestion in market based power system M Esmalifalak, Z Han, L Song 2012 IEEE wireless communications and networking conference (WCNC), 2468-2472, 2012 | 57 | 2012 |
| A stealthy attack against electricity market using independent component analysis M Esmalifalak, H Nguyen, R Zheng, L Xie, L Song, Z Han IEEE Systems Journal 12 (1), 297-307, 2015 | 49 | 2015 |
| Detection of false data injection in power grid exploiting low rank and sparsity L Liu, M Esmalifalak, Z Han 2013 IEEE international conference on communications (ICC), 4461-4465, 2013 | 46 | 2013 |
| A machine learning approach for collusion detection in electricity markets based on nash equilibrium theory P Razmi, MO Buygi, M Esmalifalak Journal of Modern Power Systems and Clean Energy 9 (1), 170-180, 2020 | 36 | 2020 |
| Fault detection in wind turbine: a systematic literature review A Purarjomandlangrudi, G Nourbakhsh, M Esmalifalak, A Tan Wind engineering 37 (5), 535-547, 2013 | 28 | 2013 |
| Adaptive quickest estimation algorithm for smart grid network topology error Y Huang, M Esmalifalak, Y Cheng, H Li, KA Campbell, Z Han IEEE Systems Journal 8 (2), 430-440, 2013 | 19 | 2013 |
| Implementing SVPWM technique to axial flux permanent magnet synchronous motor drive with internal model current controller A Darba, M Esmalifalak, ES Barazandeh 2010 4th International Power Engineering and Optimization Conference (PEOCO …, 2010 | 12 | 2010 |
| Collusion strategy investigation and detection for generation units in electricity market using supervised learning paradigm P Razmi, MO Buygi, M Esmalifalak IEEE Systems Journal 15 (1), 146-157, 2020 | 10 | 2020 |
| Generation expansion planning in IEEE power system using probabilistic production simulation A Yaghooti, GA Khanbeigi, M Esmalifalak 2010 IEEE International Energy Conference, 769-774, 2010 | 6 | 2010 |
| Attack against electricity market-attacker and defender gaming M Esmalifalak, G Shi, Z Han, L Song 2012 IEEE Global Communications Conference (GLOBECOM), 3147-3152, 2012 | 4 | 2012 |
| Market oriented reactive power expansion planning using locational marginal price ME Falak, MO Buygi, A Karimpour 2008 IEEE 2nd International Power and Energy Conference, 1323-1328, 2008 | 3 | 2008 |
| Machine learning powered anomaly detection for maintenance work orders M Esmalifalak, A Iyengar, S Mirhoseininejad, P Doulas, F Emery, ... US Patent 11,972,398, 2024 | 2 | 2024 |
| Fast anomaly detection in micro data centers using machine learning techniques NP Nanekaran, M Esmalifalak, M Narimani 2020 IEEE 18th International Conference on Industrial Informatics (INDIN) 1 …, 2020 | 2 | 2020 |
Zhu HanUniversity of Houstonuh.edu의 이메일 확인됨