HVAC systems are essential in the energy management of commercial buildings. The main goal for HVAC system is to improve productivity of the inhabitants by providing comfortable indoor environment. The most common tool for evaluating comfort is PMV index, non-linear combination of indoor environment state variables. The Paper considers optimization of energy consumption of the building by combining state space expansion and microgrid approach.

中文翻译：

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数据驱动的PMV-普通建筑的舒适度和能耗控制

HVAC 系统对于商业建筑的能源管理至关重要。HVAC 系统的主要目标是通过提供舒适的室内环境来提高居民的生产力。评估舒适度最常用的工具是 PMV 指数，即室内环境状态变量的非线性组合。本文考虑通过状态空间扩展和微电网方法相结合来优化建筑能耗。