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Towards a framework for selection of supervisory control for commercial buildings: HVAC system energy efficiency.

, , , and . ACC, page 2925-2930. IEEE, (2017)

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Distribution System State Estimation in the Presence of High Solar Penetration., , , , and . ACC, page 3432-3437. IEEE, (2019)Online Learning for Commercial Buildings., , , , , , and . e-Energy, page 522-530. ACM, (2019)A Computational Framework for Control Co-Design of Resilient Cyber-Physical Systems With Applications to Microgrids., , , , and . IEEE Trans. Control. Syst. Technol., 32 (3): 793-804 (May 2024)Multi-fidelity Bayesian Optimization for Co-design of Resilient Cyber-Physical Systems., , , , and . ICCPS, page 298-299. IEEE, (2022)Automated Adversary Emulation for Cyber-Physical Systems via Reinforcement Learning., , , , and . ISI, page 1-6. IEEE, (2020)Flexibility Requirements for Energy Systems with Renewable Generation under Forecast Uncertainties., , , and . ISGT, page 1-5. IEEE, (2023)Controllability of prosumer-based networks in the presence of communication failures., , and . CDC, page 4770-4775. IEEE, (2015)Identification and Validation of Virtual Battery Model for Heterogeneous Devices., , , and . CoRR, (2019)Optimal Energy Consumption Forecast for Grid Responsive Buildings: A Sensitivity Analysis., , , and . CCTA, page 230-236. IEEE, (2018)Optimal Iterative Method for Network Utility Maximization with Intertemporal Dynamic Constraints., , , , and . CCTA, page 543-548. IEEE, (2019)