One data-driven vibration acceleration prediction method for offshore wind turbine structures based on extreme gradient boosting

XGBoost: A Scalable Tree Boosting System

arXiv (Cornell University) · 2016 · 7.1K citations · Full text

Computing, Computer Science, Data Science +16

Harris hawks optimization: Algorithm and applications

Ali Asghar Heidari, Seyedali Mirjalili, Hossam Faris et al. · Future Generation Computer Systems · 2019 · 6.1K citations · Full text

Natural Sciences, Computer Science, Algorithms +7

A Data-Driven Design for Fault Detection of Wind Turbines Using Random Forests and XGboost

Dahai Zhang, Liyang Qian, Baijin Mao et al. · IEEE Access · 2018 · 577 citations · Full text

Computing, Computer Science, Data Science +17

Fault diagnosis of wind turbine based on Long Short-term memory networks

Jinhao Lei, Chao Liu, Dongxiang Jiang · Renewable Energy · 2018 · 502 citations

Engineering, Computer Engineering, Electrical Engineering +13

Quantifying the Impact of Wind Turbine Wakes on Power Output at Offshore Wind Farms

R. J. Barthelmie, S. C. Pryor, Sten Tronæs Frandsen et al. · Journal of Atmospheric and Oceanic Technology · 2010 · 457 citations · Full text

Engineering, Marine Engineering, Ocean Engineering +16