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- Title
Solar Energy Prediction: An International Contest to Initiate Interdisciplinary Research on Compelling Meteorological Problems.
- Authors
McGovern, Amy; Gagne, David John; Basara, Jeffrey; Hamill, Thomas M.; Margolin, David
- Abstract
The article discusses the changes made to the format of the international contest sponsored by the AMS Committee on Artificial Intelligence and Its Applications to Environmental Science for 2013-2014 to determine which approach produces the best total daily solar energy forecast. These changes include the use of the year prior to the contest to gather a more complex dataset for predictions, the hosting of the contest Website on Kaggle and the extension of the contest's time window.
- Subjects
CONTESTS; SOLAR energy; ENVIRONMENTAL sciences; ARTIFICIAL intelligence; WEBSITES
- Publication
Bulletin of the American Meteorological Society, 2015, Vol 96, Issue 8, p1388
- ISSN
0003-0007
- Publication type
Article
- DOI
10.1175/BAMS-D-14-00006.1