Predictive digital twin for wind energy systems: a literature review
Ege Kandemir,
Agus Hasan,
Trond Kvamsdal
et al.
Abstract:In recent years, there has been growing interest in digital twin technology in both industry and academia. This versatile technology has found applications across various industries. Wind energy systems are particularly suitable for digital twin platforms due to the integration of multiple subsystems. This study aims to explore the current state of predictive digital twin platforms for wind energy systems by surveying literature from the past five years, identifying challenges and limitations, and addressing f… Show more
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