Kyri Baker
Kyri Baker
Assistant Professor, University of Colorado, Boulder
Verified email at colorado.edu - Homepage
Title
Cited by
Cited by
Year
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
1332017
Chance-Constrained AC Optimal Power Flow for Distribution Systems with Renewables
E Dall'Anese, K Baker, T Summers
IEEE Transactions on Power Systems, 2017
1262017
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
1072017
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
882016
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
802018
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
672016
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
572018
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
552017
Learning optimal solutions for extremely fast AC optimal power flow
AS Zamzam, K Baker
2020 IEEE International Conference on Communications, Control, and Computing …, 2020
382020
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
372016
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
362018
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
322018
Efficient relaxations for joint chance constrained AC optimal power flow
K Baker, B Toomey
Electric Power Systems Research 148, 230-236, 2017
292017
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
282012
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
262019
Learning warm-start points for AC optimal power flow
K Baker
2019 IEEE 29th International Workshop on Machine Learning for Signal …, 2019
242019
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
242016
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
212018
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
212014
User-preference-driven model predictive control of residential building loads and battery storage for demand response
X Jin, K Baker, S Isley, D Christensen
2017 American Control Conference (ACC), 4147-4152, 2017
192017
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