| Machine learning-based anomaly detection for load forecasting under cyberattacks M Cui, J Wang, M Yue IEEE Transactions on Smart Grid 10 (5), 5724-5734, 2019 | 150 | 2019 |
| Real-time anomaly detection for very short-term load forecasting J Luo, T Hong, M Yue Journal of Modern Power Systems and Clean Energy 6 (2), 235-243, 2018 | 94 | 2018 |
| Probabilistic approach for power capacity specification of wind energy storage systems X Wang, M Yue, E Muljadi, W Gao IEEE transactions on industry applications 50 (2), 1215-1224, 2013 | 87 | 2013 |
| Grid inertial response-based probabilistic determination of energy storage system capacity under high solar penetration M Yue, X Wang IEEE transactions on sustainable energy 6 (3), 1039-1049, 2014 | 73 | 2014 |
| Review of quantitative software reliability methods TL Chu, M Yue, M Martinez-Guridi, J Lehner Brookhaven National Lab.(BNL), Upton, NY (United States), 2010 | 57 | 2010 |
| Bifurcation subsystem and its application in power system analysis M Yue, R Schlueter IEEE Transactions on Power Systems 19 (4), 1885-1893, 2004 | 50 | 2004 |
| /spl mu/-synthesis power system stabilizer design using a bifurcation subsystem based methodology M Yue, RA Schlueter IEEE Transactions on Power Systems 18 (4), 1497-1506, 2003 | 49 | 2003 |
| PV generation enhancement with a virtual inertia emulator to provide inertial response to the grid X Wang, M Yue, E Muljadi 2014 IEEE Energy Conversion Congress and Exposition (ECCE), 17-23, 2014 | 48 | 2014 |
| Traditional probabilistic risk assessment methods for digital systems TL Chu, G Martinez-Guridi, M Yue, J Lehner, P Samanta US Nuclear Regulatory Commission, NUREG/CR-6962, 2008 | 48 | 2008 |
| A Bayesian approach-based outage prediction in electric utility systems using radar measurement data M Yue, T Toto, MP Jensen, SE Giangrande, R Lofaro IEEE Transactions on Smart Grid 9 (6), 6149-6159, 2017 | 47 | 2017 |
| Deeponet-grid-uq: A trustworthy deep operator framework for predicting the power grid’s post-fault trajectories C Moya, S Zhang, G Lin, M Yue Neurocomputing 535, 166-182, 2023 | 42 | 2023 |
| A Markov model approach to proliferation-resistance assessment of nuclear energy systems M Yue, LY Cheng, RA Bari Nuclear technology 162 (1), 26-44, 2008 | 39 | 2008 |
| Modeling and control system design for an integrated solar generation and energy storage system with a ride-through capability X Wang, M Yue, E Muljadi 2012 IEEE Energy Conversion Congress and Exposition (ECCE), 3727-3734, 2012 | 37 | 2012 |
| Descriptive analytics-based anomaly detection for cybersecure load forecasting M Yue, T Hong, J Wang IEEE Transactions on Smart Grid 10 (6), 5964-5974, 2019 | 36 | 2019 |
| Modeling of digital feedwater control system using traditional probabilistic risk assessment methods TL Chu US Nuclear Regulatory Commission, 2009 | 36 | 2009 |
| Development of a Bayesian belief network model for software reliability quantification of digital protection systems in nuclear power plants HG Kang, SH Lee, SJ Lee, TL Chu, A Varuttamaseni, M Yue, S Yang, ... Annals of Nuclear Energy 120, 62-73, 2018 | 35 | 2018 |
| Networked microgrid stability through distributed formal analysis Y Li, P Zhang, M Yue Applied energy 228, 279-288, 2018 | 31 | 2018 |
| Optimization of software development life cycle quality for NPP safety software based on a risk-cost model SH Lee, SJ Lee, SR Koo, A Varuttamaseni, M Yue, M Li, J Cho, HG Kang Annals of Nuclear Energy 135, 106961, 2020 | 25 | 2020 |
| Structure-informed graph learning of networked dependencies for online prediction of power system transient dynamics T Zhao, M Yue, J Wang IEEE Transactions on Power Systems 37 (6), 4885-4895, 2022 | 24 | 2022 |
| Distributed formal analysis for power networks with deep integration of distributed energy resources Y Li, P Zhang, M Althoff, M Yue IEEE Transactions on Power Systems 34 (6), 5147-5156, 2018 | 23 | 2018 |
