https://github.com/byuflowlab/windfarm-ouu
Study on wind farm optimization under uncertainty supported by NSF Grant #1539384
Science Score: 26.0%
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Low similarity (1.5%) to scientific vocabulary
Last synced: 10 months ago
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Study on wind farm optimization under uncertainty supported by NSF Grant #1539384
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- Stars: 4
- Watchers: 8
- Forks: 2
- Open Issues: 6
- Releases: 0
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Created over 10 years ago
· Last pushed about 2 years ago
Metadata Files
Readme
README.md
Code from a study on wind farm optimization under uncertainty supported by NSF Grant #1539384.
Padrón, A. S., Thomas, J., Stanley, A. P. J., Alonso, J. J., and Ning, A., “Polynomial Chaos to Efficiently Compute the Annual Energy Production in Wind Farm Layout Optimization,” Wind Energy Science, Vol. 4, pp. 211–231, May 2019. doi:10.5194/wes-4-211-2019
Owner
- Name: BYU FLOW Lab
- Login: byuflowlab
- Kind: organization
- Location: Provo, UT
- Website: http://flow.byu.edu
- Repositories: 94
- Profile: https://github.com/byuflowlab
FLight, Optimization, and Wind
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- Watch event: 1