Digital twins for power transformers – Concept and future perspectives

Digital twins are emerging as a key enabler of digital transformation in transformer asset management, providing dynamic, data‑driven representations of physical assets. The brochure defines the digital twin concept and presents a structured capability framework from descriptive to autonomous levels. While most initiatives remain at early stages of maturity, key challenges include data integration, model reliability, and interoperability. The integration of multi-source data and hybrid modelling is essential for predictive maintenance and improved decision-making.