AI-Enhanced Digital Twins for Optimising Energy Efficiency in Positive Energy District

  • Shah, Syed Attique (Principal Investigator / Project Lead (PI/PL))
  • Azad, Muhammad Ajmal (Co-Principal Investigator / Project Co-Lead (CoPI/PcL))
  • Grace, Michael (Co-Principal Investigator / Project Co-Lead (CoPI/PcL))

    Project Details

    Layman's description

    This project focuses on AI-enhanced digital twins to optimise energy efficiency in Positive Energy Districts by integrating real-time data, predictive analytics, and deep learning to improve energy management, sustainability, and resilience. UKRI‑funded and Alan Turing Institute‑led Digital Twin NetworkPlus (DTNet+) call.
    StatusActive
    Effective start/end date1/09/25 → 30/06/26

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