| Cascading risks: Understanding the 2021 winter blackout in Texas JW Busby, K Baker, MD Bazilian, AQ Gilbert, E Grubert, V Rai, JD Rhodes, ... Energy Research & Social Science 77, 102106, 2021 | 526 | 2021 |
| Foresee: A user-centric home energy management system for energy efficiency and demand response X Jin, K Baker, D Christensen, S Isley Applied Energy 205, 1583-1595, 2017 | 224 | 2017 |
| Energy storage sizing taking into account forecast uncertainties and receding horizon operation K Baker, G Hug, X Li IEEE Transactions on Sustainable Energy 8 (1), 331-340, 2017 | 211 | 2017 |
| Chance-Constrained AC Optimal Power Flow for Distribution Systems with Renewables E Dall'Anese, K Baker, T Summers IEEE Transactions on Power Systems, 2017 | 199 | 2017 |
| Learning optimal solutions for extremely fast AC optimal power flow AS Zamzam, K Baker 2020 IEEE international conference on communications, control, and computing …, 2020 | 197 | 2020 |
| Network-cognizant voltage droop control for distribution grids K Baker, A Bernstein, E Dall’Anese, C Zhao IEEE Transactions on Power Systems 33 (2), 2098-2108, 2018 | 166 | 2018 |
| Data-based distributionally robust stochastic optimal power flow—Part I: Methodologies Y Guo, K Baker, E Dall’Anese, Z Hu, TH Summers IEEE Transactions on Power Systems 34 (2), 1483-1492, 2018 | 161 | 2018 |
| On the path to sunshot: Emerging issues and challenges in integrating solar with the distribution system B Palmintier, RJ Broderick, B Mather, M Coddington, K Baker, F Ding, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2016 | 157 | 2016 |
| Decarbonization of the chemical industry through electrification: Barriers and opportunities DS Mallapragada, Y Dvorkin, MA Modestino, DV Esposito, WA Smith, ... Joule 7 (1), 23-41, 2023 | 127 | 2023 |
| Learning warm-start points for AC optimal power flow K Baker 2019 IEEE 29th International Workshop on Machine Learning for Signal …, 2019 | 111 | 2019 |
| Modeling stationary lithium-ion batteries for optimization and predictive control E Raszmann, K Baker, Y Shi, D Christensen 2017 IEEE power and energy conference at illinois (PECI), 1-7, 2017 | 103 | 2017 |
| Solutions of DC OPF are Never AC Feasible K Baker ACM e-Energy '21: Proceedings of the Twelfth ACM International Conference on …, 2021 | 98 | 2021 |
| Stochastic model predictive control for demand response in a home energy management system K Garifi, K Baker, B Touri, D Christensen 2018 IEEE power & energy society general meeting (PESGM), 1-5, 2018 | 90 | 2018 |
| Distributed MPC for Efficient Coordination of Storage and Renewable Energy Sources Across Control Areas K Baker, J Guo, G Hug, X Li IEEE Transactions on Smart Grid 7 (2), 1-10, 2016 | 90 | 2016 |
| Joint chance constraints in AC optimal power flow: Improving bounds through learning K Baker, A Bernstein IEEE Transactions on Smart Grid 10 (6), 6376-6385, 2019 | 89 | 2019 |
| Data-based distributionally robust stochastic optimal power flow—Part II: Case studies Y Guo, K Baker, E Dall’Anese, Z Hu, TH Summers IEEE Transactions on Power Systems 34 (2), 1493-1503, 2018 | 65 | 2018 |
| Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization B Chen, P Donti, K Baker, JZ Kolter, M Berges ACM e-Energy '21: Proceedings of the Twelfth ACM International Conference on …, 2021 | 60 | 2021 |
| Evaluation of low-exergy heating and cooling systems and topology optimization for deep energy savings at the urban district level A Allen, G Henze, K Baker, G Pavlak Energy Conversion and Management 222, 113106, 2020 | 59 | 2020 |
| Efficient relaxations for joint chance constrained AC optimal power flow K Baker, B Toomey Electric Power Systems Research 148, 230-236, 2017 | 56 | 2017 |
| Learning-accelerated ADMM for distributed DC optimal power flow D Biagioni, P Graf, X Zhang, AS Zamzam, K Baker, J King IEEE Control Systems Letters 6, 1-6, 2020 | 51 | 2020 |
