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Award ID contains: 1827546

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  1. ; ; ; (, 2021 IEEE Power Energy Society Innovative Smart Grid Technologies Conference (ISGT))
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  2. ; ; ; (, 2020 American Control Conference (ACC))
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  3. (, DSCC - Dynamic Systems & Control Conference 2020)
    Accepted Manuscript Full Text Available
  4. ; ; ; (, Proceedings of the Tenth ACM International Conference on Future Energy Systems)
    This paper considers the problem of thermal management in a typical shared indoor space that may be equipped with multiple heterogeneous heat sources and have different temperature require- ments in different sections (thermal zones) of the shared space. Utilizing an on-campus smart conference room as a testbed, we discuss the practical challenges involved in real-time data-driven model learning, when a simple first-order dynamical model is used to capture the dependencies between the heat controls and the air temperatures measured at sensor locations. The data-driven model is then utilized for predictive control of the thermal environment towards minimizing the error between the desired and attained temperatures, and the integrated solution is evaluated against a standard thermal control employed by the BMS. 
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