AI for smart energy and sustainability
As part of the £16M Smart Energy Network Demonstrator (SEND) programme, Keele has emerged as a centre of excellence on AI applications to smart energy, digital twins, and sustainability.
We have developed 16 PhD projects and 45 MSc projects in collaboration with businesses, covering a wide range of topics from industrial IoT anomaly detection, smart microgrid control, power system optimisation, to energy data analytics.
We are a partner of the EPSRC EnergyREV consortium, leading the cyber security work for smart local energy systems (SLES). We are also leading a number of high profile Innovate UK funded projects, such as Urbanx and V2X.
Examples of our latest published work include deep reinforcement learning for integrated storage and hydrogen system control (https://arxiv.org/abs/2208.12779), digital twin (cyber security for SLES and privacy-preserving federated learning for energy data analytics. Our research findings have provided valuable insights and guidelines for government and policymakers (BEIS, Ofcom) as well as industry.