sup3r

Synthetic data generator

Creates synthetic high-resolution spatiotemporal data for renewable energy resources using generative adversarial networks.

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.

GitHub

88 stars
11 watching
10 forks
Language: Python
last commit: almost 2 years ago
Linked from 1 awesome list

climate-changeclimate-datadeep-learninggenerative-adversarial-networkmachine-learningrenewable-energysolar-energytensorflowwind-energy

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