Use of State-of-Art Machine Learning Technologies for Forecasting Offshore Wind Speed, Wave and Misalignment to Improve Wind Turbine Performance

Use of State-of-Art Machine Learning Technologies for Forecasting Offshore Wind Speed, Wave and Misalignment to Improve Wind Turbine Performance

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 strong winds and waves, produce structural fatigue a...

Full description

Bibliographic Details
Main Authors: Montserrat Sacie, Matilde Santos, Rafael López, Ravi Pandit
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Journal of Marine Science and Engineering
Subjects:
wind energy
floating offshore wind turbines
machine learning
wind
waves
misalignment
Online Access:https://www.mdpi.com/2077-1312/10/7/938

Similar Items

Similar Items