Transforming Energy Management with an AI-Enabled Digital Twin

Authors

Hadi Ghanbari
Petter Nissinen

Abstract

Digital twins (DTs) are increasingly adopted by organizations across various sectors. We report on how one of Europe’s largest district heating providers implemented an AI-assisted DT in pursuit of energy efficiency and sustainability. The solution enabled the company to modernize its complex cyber-physical system (CPS) and tap into its rich data capabilities to gain a comprehensive real-time representation of the entire district heating network. Reflecting on the case study, we provide six recommendations for executives in other domains aiming to implement DTs.

Recommended Citation

Ghanbari, Hadi and Nissinen, Petter (2025) "Transforming Energy Management with an AI-Enabled Digital Twin," MIS Quarterly Executive: Vol. 24: Iss. 3, Article 6.
Available at: https://aisel.aisnet.org/misqe/vol24/iss3/6