Stability and control of power systems with high penetrations of inverter-based resources: An accessible review of current knowledge and open questions RW Kenyon, M Bossart, M Marković, K Doubleday, R Matsuda-Dunn, ... Solar Energy 210, 149-168, 2020 | 121 | 2020 |
A review of power system planning and operational models for flexibility assessment in high solar energy penetration scenarios M Emmanuel, K Doubleday, B Cakir, M Marković, BM Hodge Solar Energy 210, 169-180, 2020 | 83 | 2020 |
Voltage Estimation in Low-Voltage Distribution Grids with Distributed Energy Resources M Markovic, A Sajadi, A Florita, R Cruickshank III, BM Hodge IEEE Transactions on Sustainable Energy, 2021 | 33 | 2021 |
Machine learning for modern power distribution systems: Progress and perspectives M Marković, M Bossart, BM Hodge Journal of Renewable and Sustainable Energy 15 (3), 2023 | 14 | 2023 |
Parameterized linear power flow for high fidelity voltage solutions in distribution systems M Marković, BM Hodge IEEE Transactions on Power Systems 38 (5), 4391-4403, 2022 | 11 | 2022 |
Matrix completion for improved observability in low-voltage distribution grids M Marković, A Florita, BM Hodge 2021 IEEE International Conference on Communications, Control, and Computing …, 2021 | 4 | 2021 |
Situational awareness of grid anomalies (SAGA) for visual analytics—near-real-time cyber-physical resiliency through machine learning M Ingram, A Florita, M Martin, K Gruchalla, X Fang, M Cai, G Johnson, ... National Renewable Energy Laboratory (NREL), Golden, CO (United States), 2023 | 3 | 2023 |
Model-Free Probabilistic Forecasting of Nodal Voltages in Distribution Systems M Marković, BM Hodge 2023 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2023 | 1 | 2023 |
Machine learning for modern power distribution systems M Marković, MH Bossart, BM Hodge J. Renew. Sustain. Energy 15 (3), 2023 | 1 | 2023 |
Data-Driven Methods for Distribution Modeling and Sensing MS Marković University of Colorado at Boulder, 2023 | | 2023 |