The TWINVEST project aims to develop a universal, open-source, and cybersecure Digital Twin to provide investors in onshore wind farms with valuable insights into both current performance and future investment potential. It will revolutionise the energy sector by modelling the complete wind farm system, encompassing its components and environmental dynamics. Incorporating advanced analytics, AI, and machine learning, it will enable operators to forecast, oversee, and enhance wind farm performance, facilitating the growth of new wind farms.
The TWINVEST consortium comprises 15 partners from 9 European countries.
The success of the TWINVEST project is founded on the collaborative work between 15 European leading representatives from industry, research, and technology organisations.
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