Document Type
Conference Proceeding
Publication Date
1-1-2024
Journal / Book Title
Proceedings 2024 IEEE International Conference on Big Data Bigdata 2024
Abstract
This work mines big data in Sentinel-1 satellite images to unveil geographical patterns in offshore wind energy. We leverage unsupervised machine learning to extract insights from a 44GB open access dataset for decision support in wind farm orientations to guide stakeholders. It has broader impacts of overcoming climate change by enhancing renewable energy.
DOI
10.1109/BigData62323.2024.10825812
Journal ISSN / Book ISBN
85217994381 (Scopus)
Montclair State University Digital Commons Citation
Monsalve, Cristian C.Noriega and Varde, Aparna S., "Mining Satellite Imagery for Offshore Wind Energy" (2024). School of Computing Faculty Scholarship and Creative Works. 48.
https://digitalcommons.montclair.edu/computing-facpubs/48