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ORCIDKyri Baker
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2020 – today
- 2024
[j5]Constance Crozier
, Aisling Pigott, Kyri Baker:
Price Perturbations for Privacy Preserving Demand Response With Distribution Network Awareness. IEEE Trans. Smart Grid 15(2): 1584-1593 (2024)- [c21]Priyadarshan Priyadarshan, Elias Pergantis, Constance Crozier, Kyri Baker, Kevin J. Kircher:
EDGIE: A simulation test-bed for investigating the impacts of building and vehicle electrification on distribution grids. HICSS 2024: 3123-3132 - [i15]Vincenzo Di Vito, Mostafa Mohammadian, Kyri Baker, Ferdinando Fioretto:
Learning To Solve Differential Equation Constrained Optimization Problems. CoRR abs/2410.01786 (2024) - [i14]Priyadarshan, Constance Crozier, Kyri Baker, Kevin J. Kircher:
Distribution Grids May Be a Barrier To Residential Electrification. CoRR abs/2410.04540 (2024) - 2023
- [c20]James Hurtt, Kyri Baker:
Modeling of a Clean Hybrid Energy System Considering Practical Limitations for Techno-Economic Energy Analysis. IAS 2023: 1-11 - [c19]Jasmine Garland, Kyri Baker, Ben Livneh:
Weather-Induced Power Outage Prediction: A Comparison of Machine Learning Models. SmartGridComm 2023: 1-6 - [i13]Hussein Sharadga, Javad Mohammadi, Constance Crozier, Kyri Baker:
Optimizing Multi-Timestep Security-Constrained Optimal Power Flow for Large Power Grids. CoRR abs/2311.15175 (2023) - 2022
- [j4]David Biagioni, Peter A. Graf, Xiangyu Zhang, Ahmed S. Zamzam, Kyri Baker, Jennifer King:
Learning-Accelerated ADMM for Distributed DC Optimal Power Flow. IEEE Control. Syst. Lett. 6: 1-6 (2022) - [c18]Trager Joswig-Jones, Kyri Baker, Ahmed S. Zamzam:
OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets. ISGT 2022: 1-5 - [c17]Aisling Pigott, Kyri Baker, Sergio A. Dorado-Rojas, Luigi Vanfretti:
Dymola-Enabled Reinforcement Learning for Real-time Generator Set-point Optimization. ISGT 2022: 1-5 - [i12]Mostafa Mohammadian, Kyri Baker, Ferdinando Fioretto:
Gradient-Enhanced Physics-Informed Neural Networks for Power Systems Operational Support. CoRR abs/2206.10579 (2022) - [i11]Meiyi Li, Yuhan Du, Javad Mohammadi, Constance Crozier, Kyri Baker, Soummya Kar:
Numerical Comparisons of Linear Power Flow Approximations: Optimality, Feasibility, and Computation Time. CoRR abs/2207.05216 (2022) - 2021
- [c16]David Biagioni, Peter A. Graf, Xiangyu Zhang, Ahmed S. Zamzam, Kyri Baker, Jennifer King:
Learning-Accelerated ADMM for Distributed DC Optimal Power Flow. ACC 2021: 576-581 - [c15]Bingqing Chen, Priya L. Donti, Kyri Baker, J. Zico Kolter, Mario Bergés:
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization. e-Energy 2021: 199-210 - [c14]Kyri Baker:
Solutions of DC OPF are Never AC Feasible. e-Energy 2021: 264-268 - [i10]Bingqing Chen, Priya L. Donti, Kyri Baker, J. Zico Kolter, Mario Berges:
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization. CoRR abs/2105.08881 (2021) - [i9]Aisling Pigott, Constance Crozier, Kyri Baker, Zoltán Nagy:
GridLearn: Multiagent Reinforcement Learning for Grid-Aware Building Energy Management. CoRR abs/2110.06396 (2021) - [i8]Trager Joswig-Jones, Kyri Baker, Ahmed S. Zamzam:
OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets. CoRR abs/2111.01228 (2021) - [i7]My H. Dinh, Ferdinando Fioretto, Mostafa Mohammadian, Kyri Baker:
Towards Understanding the Unreasonable Effectiveness of Learning AC-OPF Solutions. CoRR abs/2111.11168 (2021) - 2020
- [j3]Kaitlyn Garifi, Kyri Baker, Dane Christensen, Behrouz Touri:
Convex Relaxation of Grid-Connected Energy Storage System Models With Complementarity Constraints in DC OPF. IEEE Trans. Smart Grid 11(5): 4070-4079 (2020) - [c13]Kaitlyn Garifi, Kyri Baker:
Considering Integer Chance Constraints for Enforcing Flexible Line Flow Ratings. ACC 2020: 3134-3139 - [c12]Ahmed S. Zamzam, Kyri Baker:
Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow. SmartGridComm 2020: 1-6 - [i6]Jun-Xing Chin, Kyri Baker, Gabriela Hug:
Consumer Privacy Protection using Flexible Thermal Loads. CoRR abs/2002.05408 (2020) - [i5]Yangyang Fu, Xu Han, Jessica Stershic, Wangda Zuo, Kyri Baker, Jianming Lian:
Multi-stage Power Scheduling Framework for Data Center with Chilled Water Storage in Energy and Regulation Markets. CoRR abs/2007.09770 (2020)
2010 – 2019
- 2019
- [j2]Kyri Baker, Andrey Bernstein:
Joint Chance Constraints in AC Optimal Power Flow: Improving Bounds Through Learning. IEEE Trans. Smart Grid 10(6): 6376-6385 (2019) - [c11]Shantanu Chakraborty, Remco A. Verzijlbergh, Zofia Lukszo, Milos Cvetkovic, Kyri Baker:
The Role of Demand-Side Flexibility in Hedging Electricity Price Volatility in Distribution Grids. ISGT 2019: 1-5 - [c10]Kyri Baker:
Learning Warm-Start Points For Ac Optimal Power Flow. MLSP 2019: 1-6 - [i4]Ahmed S. Zamzam, Kyri Baker:
Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow. CoRR abs/1910.01213 (2019) - 2018
- [c9]Yi Guo, Kyri Baker, Emiliano Dall'Anese, Zechun Hu, Tyler H. Summers:
Stochastic Optimal Power Flow Based on Data-Driven Distributionally Robust Optimization. ACC 2018: 3840-3846 - [c8]Kyri Baker, Andrey Bernstein:
Joint Chance Constraints Reduction Through Learning in Active Distribution Networks. GlobalSIP 2018: 922-926 - [i3]Yi Guo, Kyri Baker, Emiliano Dall'Anese, Zechun Hu, Tyler H. Summers:
Data-based Distributionally Robust Stochastic Optimal Power Flow, Part II: Case studies. CoRR abs/1804.06384 (2018) - [i2]Yi Guo, Kyri Baker, Emiliano Dall'Anese, Zechun Hu, Tyler H. Summers:
Data-based Distributionally Robust Stochastic Optimal Power Flow, Part I: Methodologies. CoRR abs/1804.06388 (2018) - 2017
- [c7]Xinyang Zhou, Emiliano Dall'Anese, Lijun Chen, Kyri Baker:
Incentive-based voltage regulation in distribution networks. ACC 2017: 2732-2738 - [c6]Xin Jin, Kyri Baker, Steven Isley, Dane Christensen:
User-preference-driven model predictive control of residential building loads and battery storage for demand response. ACC 2017: 4147-4152 - [c5]Kyri Baker, Andrey Bernstein, Changhong Zhao, Emiliano Dall'Anese:
Network-cognizant design of decentralized Volt/VAR controllers. ISGT 2017: 1-5 - [i1]Yi Guo, Kyri Baker, Emiliano Dall'Anese, Zechun Hu, Tyler H. Summers:
Stochastic Optimal Power Flow Based on Data-Driven Distributionally Robust Optimization. CoRR abs/1706.04267 (2017) - 2016
- [j1]Kyri Baker, Junyao Guo, Gabriela Hug, Xin Li:
Distributed MPC for Efficient Coordination of Storage and Renewable Energy Sources Across Control Areas. IEEE Trans. Smart Grid 7(2): 992-1001 (2016) - [c4]Emiliano Dall'Anese, Kyri Baker, Tyler H. Summers:
Optimal power flow for distribution systems under uncertain forecasts. CDC 2016: 7502-7507 - [c3]Bryan Palmintier, Elaine T. Hale, Bri-Mathias S. Hodge, Kyri Baker, Timothy M. Hansen:
Experiences integrating transmission and distribution simulations for DERs with the Integrated Grid Modeling System (IGMS). PSCC 2016: 1-7 - [c2]Kyri Baker, Xin Jin, Deepthi Vaidhynathan, Wesley B. Jones, Dane Christensen, Bethany Sparn, Jason Woods, Harry Sorensen, Monte Lunacek:
Frequency Regulation Services from Connected Residential Devices: Short Paper. BuildSys@SenSys 2016: 119-122 - [c1]Dane Christensen, Steven Isley, Kyri Baker, Xin Jin, Patricia Aloise-Young, Rahul Kadavil, Siddharth Suryanarayanan:
Homeowner Preference Elicitation: A Multi-Method Comparison: Poster Abstract. BuildSys@SenSys 2016: 243-244 - 2014
- [b1]Kyri Baker:
Coordination of Resources Across Areas for the Integration of Renewable Generation: Operation, Sizing, and Siting of Storage Devices. Carnegie Mellon University, USA, 2014
Coauthor Index
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