Using Predictions in Online Optimization: Looking Forward with an Eye on the Past. - Niangjun Chen; Joshua Comden; Zhenhua Liu 002; Anshul Gandhi; Adam Wierman (SIGMETRICS, 2016)

Optimizing the Level of Commitment in Demand Response. - Joshua Comden; Zhenhua Liu 002; Yue Zhao 007 (SIGMETRICS Perform. Evaluation Rev., 2016)

Geographically coordinated frequency control. - Joshua Comden; Tan N. Le; Yue Zhao 007; Bong Jun Choi 001; Zhenhua Liu 002 (CDC, 2017)

Harnessing Flexible and Reliable Demand Response Under Customer Uncertainties. - Joshua Comden; Zhenhua Liu 002; Yue Zhao 007 (e-Energy, 2017)

Incentivizing Reliable Demand Response with Customers' Uncertainties and Capacity Planning. - Joshua Comden; Zhenhua Liu 002; Yue Zhao 007 (SIGMETRICS (Abstracts), 2017)

Distributed Algorithm Design for Probabilistic Demand Response. - Joshua Comden; Zhenhua Liu 002; Yue Zhao 007 (SIGMETRICS Perform. Evaluation Rev., 2017)

Online optimization in the Non-Stationary Cloud: Change Point Detection for Resource Provisioning (Invited Paper). - Jessica Maghakian; Joshua Comden; Zhenhua Liu 002 (CISS, 2019)

Sample Complexity of Power System State Estimation using Matrix Completion. - Joshua Comden; Marcello Colombino; Andrey Bernstein; Zhenhua Liu 002 (SmartGridComm, 2019)

Online Optimization in Cloud Resource Provisioning: Predictions, Regrets, and Algorithms. - Joshua Comden; Sijie Yao; Niangjun Chen; Haipeng Xing; Zhenhua Liu 002 (Proc. ACM Meas. Anal. Comput. Syst., 2019)

Algorithms for Online and Distributed Optimization and their Applications. - Joshua Comden (SIGMETRICS Perform. Evaluation Rev., 2019)

Geographically Coordinated Primary Frequency Control. - Joshua Comden; Tan N. Le; Yue Zhao 007; Bong Jun Choi 001; Zhenhua Liu 002 (IEEE Trans. Control. Netw. Syst., 2019)

Online Economic Dispatch with Volatile Renewable Generation and Ramping Costs. - Joshua Comden; Jessica Maghakian; Zhenhua Liu 002 (ICNC, 2020)

Online State Estimation for Systems with Asynchronous Sensors. - Guido Cavraro; Emiliano Dall'Anese; Joshua Comden; Andrey Bernstein (CoRR, 2020)

Secure Control Regions for Distributed Stochastic Systems with Application to Distributed Energy Resource Dispatch. - Joshua Comden; Ahmed S. Zamzam; Andrey Bernstein (ACC, 2022)

Data-Driven Chance-Constrained Design of Voltage Droop Control for Distribution Networks. - Joshua Comden; Ahmed S. Zamzam; Andrey Bernstein (HICSS, 2022)

Learning Assisted Demand Charge Mitigation for Workplace Electric Vehicle Charging. - Kalpesh Chaudhari; Patrick M. Connor; Joshua Comden; Jennifer King (IEEE Access, 2022)

Online State Estimation for Time-Varying Systems. - Guido Cavraro; Emiliano Dall'Anese; Joshua Comden; Andrey Bernstein (IEEE Trans. Autom. Control., 2022)

Online Resource Provisioning for Wireless Data Collection. - Yu Liu 057; Joshua Comden; Zhenhua Liu 002; Yuanyuan Yang 001 (ACM Trans. Sens. Networks, 2022)

Real-Time Distribution System State Estimation With Asynchronous Measurements. - Guido Cavraro; Joshua Comden; Emiliano Dall'Anese; Andrey Bernstein (IEEE Trans. Smart Grid, 2022)

Time-Varying Feedback Optimization for Quadratic Programs with Heterogeneous Gradient Step Sizes. - Andrey Bernstein; Joshua Comden; Yue Chen; Jing Wang 183 (CDC, 2023)

Study of Communication Boundaries of Primal-Dual-Based Distributed Energy Resource Management Systems (DERMS). - Joshua Comden; Jing Wang 183; Andrey Bernstein (ISGT, 2023)

Hardware-in-the-Loop Evaluation of Grid-Edge DER Chip Integration Into Next-Generation Smart Meters. - Joshua Comden; Jing Wang 183; Subhankar Ganguly; Steven Forsyth; Reynaldo Gomez; Andrey Bernstein (SmartGridComm, 2023)

Learning with Adaptive Conservativeness for Distributionally Robust Optimization: Incentive Design for Voltage Regulation. - Zhirui Liang; Qi Li; Joshua Comden; Andrey Bernstein; Yury Dvorkin (CDC, 2024)

Optimizing Individualized Incentives from Grid Measurements and Limited Knowledge of Agent Behavior. - Adam Lechowicz; Joshua Comden; Andrey Bernstein (CoRR, 2024)

Feedback Optimization of Incentives for Distribution Grid Services. - Guido Cavraro; Joshua Comden; Andrey Bernstein (IEEE Control. Syst. Lett., 2024)

Optimizing Individualized Incentives from Grid Measurements under Limited Knowledge of Agent Behavior. - Adam Lechowicz; Joshua Comden; Andrey Bernstein (e-Energy, 2025)