Work

Applying Machine Learning to SENTINEL Satellite Images to Predict the Operational State of Floating Offshore Wind Turbines

Year: 2025

Type: conference-paper

Source: International Young Engineers Forum on Electrical and Computer Engineering (YEF-ECE)

DOI: 10.1109/yef-ece66503.2025.11117431

Authors: Tiago Mota, Mario Vieira, Leonardo Filipe, Daniel Fernandes, Nuno C. Garcia, João P. Matos-Carvalho

Institutions: WavEC Offshore Renewables, Universidade Lusófona, University of Lisbon, Laboratório de Sistemas Informáticos de Grande Escala

Language: English

Topic: Wind Energy Research and Development

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Climate action

Open Access status: closed

Funder: European Space Agency

Award: G1102574901

OpenAlex ID: W4413320432

FWCI:

Cites: 11

Cited by:

Related to: 10