AI-Driven Digital Twins for Energy Infrastructure

Aims & Scope

The rapid digitalisation of energy infrastructure, such as wind, solar, hydropower, etc., has led to the explosion of multi-source operational data and advanced sensing technologies, while simultaneously raising requirements on reliability, resilience, and life-cycle performance under complex operating conditions. Digital Twins (DT) technology offers a systematic framework to integrate physics-based models, monitoring and inspection data, and artificial intelligence (AI) into a coherent cyber–physical representation. AI-driven digital twins enable continuous state assessment, prognostic diagnosis, and decision support, supporting informed operation, maintenance, and risk management of energy assets. 

A central question addressed in this session is: how to rigorously design and deploy AI-driven digital twins that enhance system cognition while maintaining physical interpretability and engineering credibility?

This session focuses on methodologies, applications, and challenges of AI-driven digital twins for energy infrastructure, emphasising model–data synergy, life-cycle management, and decision-oriented engineering practice, rather than purely data-centric or conceptual studies.

The session topics include but are not limited to:

• ▪ Case studies and field applications in energy infrastructure systems
• ▪ AI-driven digital twins for wind, solar, offshore, and hybrid energy infrastructure
• ▪ Physics-informed and model-guided AI in digital twin frameworks
• ▪ Digital twins for structural health monitoring, degradation modelling, and prognostics
• ▪ Integration of monitoring, inspection, SCADA, and multi-modal data into digital twins
• ▪ Life-cycle performance assessment and resilience-oriented digital twins
• ▪ Digital twin-enabled operation, maintenance, and risk-informed decision-making
• ▪ Uncertainty, reliability, and trustworthiness of AI-enhanced digital twins

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Your valuable insights are welcome! 

We cordially invite interested researchers to contact us for details and presentation applications at: secretariat@idea-global.net