Four-dimensional wind field generation for the aeroelastic simulation of wind turbines with lidars. Wind energy science, (7)2:539-558, Copernicus Publications, 2022. [PUMA: dfg f2022 oa oafonds ubs_10006 ubs_20010 ubs_30093 ubs_40324 unibibliografie]
Numerical Aspects of a Two-Way Coupling for Electro-Mechanical Interactions : A Wind Energy Perspective. Energies, (15)3:1178, MDPI, 2022. [PUMA: dfg f2022 mult oa oafonds ubs_10005 ubs_10006 ubs_20007 ubs_20010 ubs_30065 ubs_30093 ubs_40324 ubs_40338 unibibliografie]
Minute-Scale Forecasting of Wind Power : Results from the Collaborative Workshop of IEA Wind Task 32 and 36. Energies, (12)4:712, MDPI, 2019. [PUMA: dfg f2019 oa oafonds ubs_10006 ubs_20010 ubs_30093 ubs_40324 unibibliografie wos]
IEAWind Task 32: Wind Lidar Identifying and Mitigating Barriers to the Adoption of Wind Lidar. Remote Sensing, (10)3:406, MDPI, 2018. [PUMA: dfg f2018 oa oafonds ubs_10006 ubs_20010 ubs_30093 ubs_40324 unibibliografie wos]
Application of a Monte Carlo procedure for probabilistic fatigue design of floating offshore wind turbines. Wind Energy Science, (3)1:149-162, Copernicus Publications, 2018. [PUMA: dfg f2018 oa oafonds ubs_10006 ubs_20010 ubs_30093 ubs_40324 unibibliografie wos]