Integrating reinforcement learning and predictive control for smart home energy management (SmartHEM)
Research Project, 2023
– 2025
To achieve carbon neutrality and reduce dependence on fossil energy, solar panels, heat pumps and electric vehicles (EVs) are becoming commonplace in European homes. The abundant solar power, geothermal energy, as well as environmentally friendly electric vehicles, reduce the usage of fossil-based energy, while posing challenges to the home energy management system at the same time due to the intermittent feature of renewable energy and potential battery degradation from EVs. This Marie Skłodowska-Curie Postdoctoral Fellowship will propose a smart home management system to optimise the entire home energy cost while considering a set of constraints related to battery safety and reliability, driver/household demand, and actuator.
Participants
Changfu Zou (contact)
Chalmers, Electrical Engineering, Systems and control
Meng Yuan
Chalmers, Electrical Engineering, Systems and control
Funding
European Commission (EC)
Project ID: EC/HE/101110832
Funding Chalmers participation during 2023–2025
European Commission (EC)
Project ID: EC/HE/101110832
Funding Chalmers participation during 2023–2025
Related Areas of Advance and Infrastructure
Sustainable development
Driving Forces
Energy
Areas of Advance
Basic sciences
Roots
Innovation and entrepreneurship
Driving Forces
HSB living lab
Infrastructure