Distributed Reinforcement Learning for Building Energy Optimization
Buildings worldwide account for roughly 40% of the total energy consumption which boils down to generating 30% of the total carbon dioxide emissions. Heating, Ventilation, and Air Conditioning (HVAC) systems are the largest consumers of energy within these structures. The complexity of building cooling systems poses significant challenges for achieving optimal control. Conventional approaches to i
