Coordination of Resources Across Areas for the Integration of Renewable Generation: Operation, Sizing, and Siting of Storage Devices. - Kyri Baker (2014)

Optimal power flow for distribution systems under uncertain forecasts. - Emiliano Dall'Anese; Kyri Baker; Tyler H. Summers (CDC, 2016)

Experiences integrating transmission and distribution simulations for DERs with the Integrated Grid Modeling System (IGMS). - Bryan Palmintier; Elaine T. Hale; Bri-Mathias S. Hodge; Kyri Baker; Timothy M. Hansen (PSCC, 2016)

Frequency Regulation Services from Connected Residential Devices: Short Paper. - Kyri Baker; Xin Jin 016; Deepthi Vaidhynathan; Wesley B. Jones; Dane Christensen; Bethany Sparn; Jason Woods; Harry Sorensen; Monte Lunacek (BuildSys, 2016)

Homeowner Preference Elicitation: A Multi-Method Comparison: Poster Abstract. - Dane Christensen; Steven Isley; Kyri Baker; Xin Jin 016; Patricia Aloise-Young; Rahul Kadavil; Siddharth Suryanarayanan (BuildSys, 2016)

Distributed MPC for Efficient Coordination of Storage and Renewable Energy Sources Across Control Areas. - Kyri Baker; Junyao Guo; Gabriela Hug; Xin Li 001 (IEEE Trans. Smart Grid, 2016)

User-preference-driven model predictive control of residential building loads and battery storage for demand response. - Xin Jin 016; Kyri Baker; Steven Isley; Dane Christensen (ACC, 2017)

Incentive-based voltage regulation in distribution networks. - Xinyang Zhou; Emiliano Dall'Anese; Lijun Chen 001; Kyri Baker (ACC, 2017)

Network-cognizant design of decentralized Volt/VAR controllers. - Kyri Baker; Andrey Bernstein; Changhong Zhao; Emiliano Dall'Anese (ISGT, 2017)

Stochastic Optimal Power Flow Based on Data-Driven Distributionally Robust Optimization. - Yi Guo 006; Kyri Baker; Emiliano Dall'Anese; Zechun Hu; Tyler H. Summers (ACC, 2018)

Joint Chance Constraints Reduction Through Learning in Active Distribution Networks. - Kyri Baker; Andrey Bernstein (GlobalSIP, 2018)

Data-based Distributionally Robust Stochastic Optimal Power Flow, Part II: Case studies. - Yi Guo 006; Kyri Baker; Emiliano Dall'Anese; Zechun Hu; Tyler H. Summers (CoRR, 2018)

Data-based Distributionally Robust Stochastic Optimal Power Flow, Part I: Methodologies. - Yi Guo 006; Kyri Baker; Emiliano Dall'Anese; Zechun Hu; Tyler H. Summers (CoRR, 2018)

The Role of Demand-Side Flexibility in Hedging Electricity Price Volatility in Distribution Grids. - Shantanu Chakraborty; Remco A. Verzijlbergh; Zofia Lukszo; Milos Cvetkovic; Kyri Baker (ISGT, 2019)

Learning Warm-Start Points For Ac Optimal Power Flow. - Kyri Baker (MLSP, 2019)

Joint Chance Constraints in AC Optimal Power Flow: Improving Bounds Through Learning. - Kyri Baker; Andrey Bernstein (IEEE Trans. Smart Grid, 2019)

Considering Integer Chance Constraints for Enforcing Flexible Line Flow Ratings. - Kaitlyn Garifi; Kyri Baker (ACC, 2020)

Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow. - Ahmed S. Zamzam; Kyri Baker (SmartGridComm, 2020)

Consumer Privacy Protection using Flexible Thermal Loads. - Jun-Xing Chin 001; Kyri Baker; Gabriela Hug (CoRR, 2020)

Multi-stage Power Scheduling Framework for Data Center with Chilled Water Storage in Energy and Regulation Markets. - Yangyang Fu; Xu Han; Jessica Stershic; Wangda Zuo; Kyri Baker; Jianming Lian (CoRR, 2020)

Convex Relaxation of Grid-Connected Energy Storage System Models With Complementarity Constraints in DC OPF. - Kaitlyn Garifi; Kyri Baker; Dane Christensen; Behrouz Touri (IEEE Trans. Smart Grid, 2020)

Solutions of DC OPF are Never AC Feasible. - Kyri Baker (e-Energy, 2021)

Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization. - Bingqing Chen; Priya L. Donti; Kyri Baker; J. Zico Kolter; Mario Bergés (e-Energy, 2021)

GridLearn: Multiagent Reinforcement Learning for Grid-Aware Building Energy Management. - Aisling Pigott; Constance Crozier; Kyri Baker; Zoltán Nagy 002 (CoRR, 2021)

Towards Understanding the Unreasonable Effectiveness of Learning AC-OPF Solutions. - My H. Dinh; Ferdinando Fioretto; Mostafa Mohammadian; Kyri Baker (CoRR, 2021)

OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets. - Trager Joswig-Jones; Kyri Baker; Ahmed S. Zamzam (ISGT, 2022)

Dymola-Enabled Reinforcement Learning for Real-time Generator Set-point Optimization. - Aisling Pigott; Kyri Baker; Sergio A. Dorado-Rojas; Luigi Vanfretti (ISGT, 2022)

Gradient-Enhanced Physics-Informed Neural Networks for Power Systems Operational Support. - Mostafa Mohammadian; Kyri Baker; Ferdinando Fioretto (CoRR, 2022)

Numerical Comparisons of Linear Power Flow Approximations: Optimality, Feasibility, and Computation Time. - Meiyi Li; Yuhan Du; Javad Mohammadi; Constance Crozier; Kyri Baker; Soummya Kar (CoRR, 2022)

Learning-Accelerated ADMM for Distributed DC Optimal Power Flow. - David Biagioni; Peter A. Graf; Xiangyu Zhang 010; Ahmed S. Zamzam; Kyri Baker; Jennifer King (IEEE Control. Syst. Lett., 2022)

Modeling of a Clean Hybrid Energy System Considering Practical Limitations for Techno-Economic Energy Analysis. - James Hurtt; Kyri Baker (IAS, 2023)

Weather-Induced Power Outage Prediction: A Comparison of Machine Learning Models. - Jasmine Garland; Kyri Baker; Ben Livneh (SmartGridComm, 2023)

Optimizing Multi-Timestep Security-Constrained Optimal Power Flow for Large Power Grids. - Hussein Sharadga; Javad Mohammadi; Constance Crozier; Kyri Baker (CoRR, 2023)

EDGIE: A simulation test-bed for investigating the impacts of building and vehicle electrification on distribution grids. - Priyadarshan Priyadarshan; Elias Pergantis; Constance Crozier; Kyri Baker; Kevin J. Kircher (HICSS, 2024)

Distribution Grids May Be a Barrier To Residential Electrification. - Priyadarshan; Constance Crozier; Kyri Baker; Kevin J. Kircher (CoRR, 2024)

A New Definition of Demand Response in the Distributed Energy Resource Era. - Johanna L. Mathieu; Gregor Verbic; Thomas Morstyn; Mads Almassalkhi; Kyri Baker; Julio H. Braslavsky; Kenneth Bruninx; Yury Dvorkin; Gregory S. Ledva; Nariman Mahdavi; Hrvoje Pandzic; Alessandra Parisio; et al. (CoRR, 2024)

Learning to Optimize meets Neural-ODE: Real-Time, Stability-Constrained AC OPF. - Vincenzo Di Vito; Mostafa Mohammadian; Kyri Baker; Ferdinando Fioretto (CoRR, 2024)

Price Perturbations for Privacy Preserving Demand Response With Distribution Network Awareness. - Constance Crozier; Aisling Pigott; Kyri Baker (IEEE Trans. Smart Grid, 2024)

Learning to Solve Differential Equation Constrained Optimization Problems. - Vincenzo Di Vito Francesco; Mostafa Mohammadian; Kyri Baker; Ferdinando Fioretto (ICLR, 2025)

Restoring Feasibility in Power Grid Optimization: A Counterfactual ML Approach. - Mostafa Mohammadian; Anna Van Boven; Kyri Baker (CoRR, 2025)