In the last few years, a significant amount of research has focused on learning and modeling personalized thermal preferences to satisfy individuals in buildings. However, there is a disconnection between personal comfort studies and building thermal control research. The objective of this article is to review research studies that integrate personalized thermal preferences into building control systems, and their control performance (in terms of comfort and energy) through either simulation studies or field implementations. Existing studies can be categorized into two main categories, depending on the type of control integration: conventional, reactive (feedback) control and advanced model-based predictive control. A deeper analysis of the degree of integration, number of occupants considered, control setpoint type, and thermal preference aggregation method, leads to a more detailed classification of thermal preference-based control research. In the absence of a general consensus of robust implementation of thermal preference-based control in buildings, this categorization allows a better understanding of current focus, research gaps, and needs for future work.

在过去的几年中，大量研究集中在学习和建模个性化热偏好以满足建筑物中的个人。然而，个人舒适度研究与建筑热控制研究之间存在脱节。本文的目的是回顾将个性化热偏好集成到建筑控制系统中的研究，及其通过模拟研究或现场实施的控制性能（在舒适性和能源方面）。根据控制集成的类型，现有的研究可以分为两大类：常规、反应（反馈）控制和基于模型的高级预测控制。对集成度、考虑的乘员数量、控制设定点类型进行更深入的分析，和热偏好聚合方法，导致基于热偏好的控制研究的更详细的分类。在缺乏对建筑物中基于热偏好的控制的稳健实施的普遍共识的情况下，这种分类可以更好地了解当前的重点、研究差距和未来工作的需求。