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

More information

Latest update

2024-01-10