27 citations · 52 across the 10 of their papers we have counts for
3 papers · 1 filter
Deep Reinforcement Learning for Optimal Control of Space Heating
Adam Nagy, Hussain Kazmi, Farah Cheaib +1
Classical methods to control heating systems are often marred by suboptimal performance, inability to adapt to dynamic conditions and unreasonable assumptions e.g. existence of bui…
Valuing knowledge, information and agency in Multi-agent Reinforcement Learning: a case study in smart buildings
Hussain Kazmi, Johan Suykens, Johan Driesen
Increasing energy efficiency in buildings can reduce costs and emissions substantially. Historically, this has been treated as a local, or single-agent, optimization problem. Howev…
Deep Reinforcement Learning based Optimal Control of Hot Water Systems
Hussain Kazmi, Fahad Mehmood, Stefan Lodeweyckx +1
Energy consumption for hot water production is a major draw in high efficiency buildings. Optimizing this has typically been approached from a thermodynamics perspective, decoupled…