Abstract
Digital twins represent a revolutionary technological advancement, offering unprecedented capabilities in monitoring, analyzing, and optimizing physical assets and systems. These virtual replicas provide a real-time, detailed view of their physical counterparts, enabling comprehensive understanding and control that drive efficiency and reduce downtime [1,2]. Learning about digital twins is essential for staying competitive in various industries that are increasingly embracing digitalization. By understanding this technology, professionals can enhance decision-making through data-driven insights, optimize maintenance schedules to reduce costs, and improve overall operational performance. The interdisciplinary nature of digital twins means that skills in this area are highly versatile and applicable across sectors such as manufacturing, healthcare, transportation, and more.
| Original language | English |
|---|---|
| Title of host publication | AI and Digitalization in Energy Management |
| Publisher | Institution of Engineering and Technology |
| Pages | 49-68 |
| Number of pages | 20 |
| ISBN (Electronic) | 9781839539800 |
| ISBN (Print) | 9781839539794 |
| DOIs | |
| Publication status | Published - 1 Jan 2025 |