| A review on artificial intelligence for grid stability assessment S You, Y Zhao, M Mandich, Y Cui, H Li, H Xiao, S Fabus, Y Su, Y Liu, ... 2020 IEEE International Conference on Communications, Control, and Computing …, 2020 | 68 | 2020 |
| Harmonic transmission characteristics for ultra-long distance AC transmission lines based on frequency-length factor C Chen, H Yang, W Wang, M Mandich, W Yao, Y Liu Electric Power Systems Research 182, 106189, 2020 | 21 | 2020 |
| Deep learning-based adaptive remedial action scheme with security margin for renewable-dominated power grids Y Zhao, S You, M Mandich, L Zhu, C Zhang, H Li, Y Su, C Zeng, Y Zhao, ... Energies 14 (20), 6563, 2021 | 10 | 2021 |
| Optimal pmu placement using stochastic methods M Mandich, T Xia, K Sun 2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019 | 10 | 2019 |
| Adding power of artificial intelligence to situational awareness of large interconnections dominated by inverter‐based resources L Zhu, Y Zhao, Y Cui, S You, W Yu, S Liu, H Yin, C Chen, Y Wu, W Qiu, ... High Voltage 6 (6), 924-937, 2021 | 7 | 2021 |
| A fast and accurate transient stability assessment method based on deep learning: Wecc case study Y Zhao, S You, M Mandich, L Zhu, C Zhang, H Li, Y Su, Y Liu, H Jiang, ... 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2022 | 5 | 2022 |
| Final technical report: Multi-timescale integrated dynamics and scheduling for solar (midas-solar) J Tan, A Hoke, H Yuan, B Wang, RW Kenyon, X Fang, P Koralewicz, ... National Renewable Energy Lab.(NREL), Golden, CO (United States), Tech. Rep, 2023 | 4 | 2023 |
| Build Smart Grids on Artificial Intelligence–A Real-world Example S You, H Li, S Liu, K Sun, Y Zhao, H Xiao, J Dong, Y Su, W Wang, Y Cui, ... Applications of Big Data and Artificial Intelligence in Smart Energy Systems …, 2023 | 2 | 2023 |
| Deep learning based frequency stability assessment in power grid with high renewables Y Zhao, S You, M Mandich, H Li, S Fabus, Y Cui, H Xiao, L Zhu, C Zeng, ... 2022 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2022 | 2 | 2022 |
| Power System Stability Assessment with Supervised Machine Learning M Mandich | 2 | 2021 |
| Multi-Timescale Integrated Dynamics and Scheduling for Solar (MIDAS-Solar)(Final Technical Report) J Tan, A Hoke, H Yuan, B Wang, RW Kenyon, X Fang, P Koralewicz, ... National Renewable Energy Laboratory (NREL), Golden, CO (United States), 2023 | 1 | 2023 |
| AI-Based Faster-Than-Real-Time Stability Assessment of Large Power Systems with Applications on WECC System J Dong, M Mandich, Y Zhao, Y Liu, S You, Y Liu, H Zhang Energies 16 (3), 1401, 2023 | 1 | 2023 |
| Pareto Optimization of Parameter Selection Speeds Up and Improves Quality of Motion Computation: Applying Evolutionary Multi-objective Optimization to Randomized-Subspace … D Grob, M Vurkac, A Miguel, M Mandich, R Bayrakcismith 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 919-928, 2018 | 1 | 2018 |
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