  Given the widespread attention to individual thermal comfort, coupled with
significant energy-saving potential inherent in energy management systems for
optimizing indoor environments, this paper aims to introduce advanced
"Humans-in-the-building" control techniques to redefine the paradigm of indoor
temperature design. Firstly, we innovatively redefine the role of individuals
in the control loop, establishing a model for users' thermal comfort and
constructing discomfort signals based on individual preferences. Unlike
traditional temperature-centric approaches, "thermal comfort control"
prioritizes personalized comfort. Then, considering the diversity among users,
we propose a novel method to determine the optimal indoor temperature range,
thus minimizing discomfort for various users and reducing building energy
consumption. Finally, the efficacy of the "thermal comfort control" approach is
substantiated through simulations conducted using Matlab.
