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