https://github.com/NREL/sup3r

The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution inputs.
https://github.com/NREL/sup3r

climate-change climate-data deep-learning generative-adversarial-network machine-learning renewable-energy solar-energy tensorflow wind-energy

Last synced: 3 months ago
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The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution inputs.

• Host: GitHub
• URL: https://github.com/NREL/sup3r
• Owner: NREL
• License: bsd-3-clause
• Created: 2021-10-28T19:05:05.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2024-06-09T14:38:05.000Z (5 months ago)
• Last Synced: 2024-06-11T17:51:18.769Z (5 months ago)
• Topics: climate-change, climate-data, deep-learning, generative-adversarial-network, machine-learning, renewable-energy, solar-energy, tensorflow, wind-energy
• Language: Python
• Homepage: https://nrel.github.io/sup3r/
• Size: 143 MB
• Stars: 63
• Watchers: 11
• Forks: 6
• Open Issues: 1
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE
  • Citation: CITATION.cff

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• open-sustainable-technology - sup3r - The Super Resolution for Renewable Resource Data software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution inputs. (Energy Systems / Renewable Energy Integration)