Offshore Wind Energy Prediction Using Machine Learning with Multi-Resolution Inputs

Author:

Ye Feng,Miles Travis,Ezzat Ahmed Aziz

Publisher

Springer International Publishing

Reference34 articles.

1. (2017). Wind energy generation systems—Part 12-1: Power performance measurements of electricity producing wind turbines. IEC 61400-12-1 International Electrotechnical Commission.

2. (2020). Haliade-X 12 MW offshore wind turbine platform. https://www.ge.com/renewableenergy/wind-energy/offshore-wind/haliade-x-offshore-turbine.

3. (2021). FACT SHEET: Biden administration jumpstarts offshore wind energy projects to create jobs. https://www.whitehouse.gov/briefing-room/statements-releases/2021/03/29/fact-sheet-biden-administration-jumpstarts-offshore-wind-energy-projects-to-create-jobs/.

4. BOEM. (2021). Lease and grant information. In Bureau of ocean energy management. https://www.boem.gov/renewable-energy/lease-and-grant-information.

5. Cox, D. R., & Ishamm, V., (1988). A simple spatial-temporal model of rainfall. Proceedings of the Royal Society of London A Mathematical and Physical Sciences, 415(1849), 317–328.

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