Super Resolving Renewable Resource Data (sup3r)
Project description
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. To get started, check out the sup3r command line interface (CLI) here.
Installing sup3r
NOTE: The installation instruction below assume that you have python installed on your machine and are using conda as your package/environment manager.
Option 1: Install from PIP or Conda (recommended for analysts):
Create a new environment: conda create --name sup3r python=3.9
Activate directory: conda activate sup3r
Install sup3r: pip install NREL-sup3r
Option 2: Clone repo (recommended for developers)
from home dir, git clone git@github.com:NREL/sup3r.git
- Create sup3r environment and install package
Create a conda env: conda create -n sup3r
Run the command: conda activate sup3r
cd into the repo cloned in 1.
prior to running pip below, make sure the branch is correct (install from main!)
Install sup3r and its dependencies by running: pip install . (or pip install -e . if running a dev branch or working on the source code)
Recommended Citation
Update with current version and DOI:
Brandon Benton, Grant Buster, Andrew Glaws, Ryan King. Super Resolution for Renewable Resource Data (sup3r). https://github.com/NREL/sup3r (version v0.0.1), 2022. DOI: 10.5281/zenodo.6808547
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