Distributed Reinforcement Learning for Building Energy Optimization
Heating, ventilation, and air-conditioning (HVAC) systems are ubiquitous and are one of the major components responsible for energy consumption in a typical building system. In light of the imminent energy crisis, there is an increasing demand to revisit the building systems and save as much energy as possible. In this regard, the scope of the thesis is to explore opportunities for data-driven opt