Sacie, M.; Santos, M.; López, R.; Pandit, R.
Use of State-of-Art Machine Learning Technologies for Forecasting Offshore Wind Speed, Wave and Misalignment to Improve Wind Turbine Performance. J. Mar. Sci. Eng. 2022, 10, 938.
https://doi.org/10.3390/jmse10070938
AMA Style
Sacie M, Santos M, López R, Pandit R.
Use of State-of-Art Machine Learning Technologies for Forecasting Offshore Wind Speed, Wave and Misalignment to Improve Wind Turbine Performance. Journal of Marine Science and Engineering. 2022; 10(7):938.
https://doi.org/10.3390/jmse10070938
Chicago/Turabian Style
Sacie, Montserrat, Matilde Santos, Rafael López, and Ravi Pandit.
2022. "Use of State-of-Art Machine Learning Technologies for Forecasting Offshore Wind Speed, Wave and Misalignment to Improve Wind Turbine Performance" Journal of Marine Science and Engineering 10, no. 7: 938.
https://doi.org/10.3390/jmse10070938
APA Style
Sacie, M., Santos, M., López, R., & Pandit, R.
(2022). Use of State-of-Art Machine Learning Technologies for Forecasting Offshore Wind Speed, Wave and Misalignment to Improve Wind Turbine Performance. Journal of Marine Science and Engineering, 10(7), 938.
https://doi.org/10.3390/jmse10070938