The Power of Deep Reinforcement Learning to Transform the Built Environment 28 February 2022
What can Artificial Intelligence (AI) offer the built environment in our age of climate emergency? At the heart of Deep Reinforcement Learning is an agent and an environment. Just as we are starting to learn that our actions within our environment have consequences on an immense, planetary scale, innovative AI is learning too – and faster than us.
By using Deep Reinforcement Learning to optimise the energy efficiency of HVAC systems in the built environment, we can minimise the negative impact of our own actions without sacrificing occupant comfort. As businesses all over the world attempt to transition to Net Zero, this technology has a pivotal role to play.
But why is Deep Reinforcement Learning the best way to optimise HVAC performance?
