A novel deep learning based digital twin model for mitigating wake effects in wind farms

Review of digital twin applications in manufacturing

Chiara Cimino, Elisa Negri, Luca Fumagalli · Computers in Industry · 2019 · 821 citations · Full text

Engineering, Manufacturing Engineering, Mechatronics Engineering +11

Wind plant power optimization through yaw control using a parametric model for wake effects-a CFD simulation study

Pieter Gebraad, F. W. Teeuwisse, J.W. van Wingerden et al. · Wind Energy · 2014 · 732 citations · Full text

Engineering, Computational Engineering, Computational Fluid Dynamics +16

Wind farm power optimization through wake steering

Michael F. Howland, Sanjiva K. Lele, John O. Dabiri · Proceedings of the National Academy of Sciences · 2019 · 420 citations · Full text

Agriculture, Meteorology, Climate Change Mitigation +14

Simulation comparison of wake mitigation control strategies for a two-turbine case

Paul Fleming, Pieter Gebraad, Sang Lee et al. · Wind Energy · 2014 · 391 citations

Engineering, Architectural Engineering, Energy Management +15

Digital Twin for the Oil and Gas Industry: Overview, Research Trends, Opportunities, and Challenges

Thumeera R. Wanasinghe, Leah Wroblewski, Búi K. Petersen et al. · IEEE Access · 2020 · 357 citations · Full text

Engineering, Industrial Engineering, Technology Management +17