TY  - JOUR
AU  - Sacie, Montserrat
AU  - Santos Peñas, Matilde
AU  - López, Rafael
AU  - Pandit, Ravi
PY  - 2022
DO  - 10.3390/jmse10070938
UR  - https://hdl.handle.net/20.500.14352/112552
T2  - Journal of Marine Science and Engineering
AB  - One of the most promising solutions that stands out to mitigate climate change is floating offshore wind turbines (FOWTs). Although they are very efficient in producing clean energy, the harsh environmental conditions they are subjected to, mainly...
LA  - eng
M2  - 938
PB  - MDPI
KW  - Wind energy
KW  - Floating offshore wind turbines
KW  - Machine learning
KW  - Misalignment
KW  - Forecasting
TI  - Use of state‐of‐art machine learning technologies for forecasting offshore wind speed, wave and misalignment to improve wind turbine performance
TY  - journal article
VL  - 10
ER  -