| 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 | 111 | 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 | 109 | 2017 |
| 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 | 83 | 2017 |
| On the path to SunShot. Emerging issues and challenges in integrating solar with the distribution system B Palmintier, R Broderick, B Mather, M Coddington, K Baker, F Ding, ... National Renewable Energy Lab.(NREL), Golden, CO (United States), 2016 | 80 | 2016 |
| 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 | 68 | 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 | 52 | 2016 |
| 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 | 45 | 2017 |
| 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 | 39 | 2018 |
| Distribution-agnostic stochastic optimal power flow for distribution grids K Baker, E Dall'Anese, T Summers 2016 North American Power Symposium (NAPS), 1-6, 2016 | 32 | 2016 |
| 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 | 27 | 2018 |
| 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 | 25 | 2018 |
| Efficient relaxations for joint chance constrained AC optimal power flow K Baker, B Toomey Electric Power Systems Research 148, 230-236, 2017 | 25 | 2017 |
| Optimal integration of intermittent energy sources using distributed multi-step optimization K Baker, G Hug, X Li 2012 IEEE Power and Energy Society General Meeting, 1-8, 2012 | 25 | 2012 |
| Experiences integrating transmission and distribution simulations for DERs with the Integrated Grid Modeling System (IGMS) B Palmintier, T Hansen, E Hale, BM Hodge, K Baker 19th Power Systems Computation Conference; Genoa, Italy, 2016 | 22 | 2016 |
| Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow A Zamzam, K Baker https://arxiv.org/abs/1910.01213, 2019 | 21 | 2019 |
| Learning warm-start points for AC optimal power flow K Baker 2019 IEEE 29th International Workshop on Machine Learning for Signal …, 2019 | 20 | 2019 |
| Optimal storage sizing using two-stage stochastic optimization for intra-hourly dispatch K Baker, G Hug, X Li 2014 North American Power Symposium (NAPS), 1-6, 2014 | 19 | 2014 |
| Stochastic optimal power flow based on data-driven distributionally robust optimization Y Guo, K Baker, E Dall'Anese, Z Hu, T Summers 2018 Annual American Control Conference (ACC), 3840-3846, 2018 | 18 | 2018 |
| 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 | 17 | 2019 |
| Locational sensitivity investigation on PV hosting capacity and fast track PV screening F Ding, B Mather, N Ainsworth, P Gotseff, K Baker 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), 1-5, 2016 | 16 | 2016 |
Emiliano Dall'AneseUniversity of Colorado BoulderVerified email at colorado.edu
