NREL-sup3r 0.0.2

Super Resolving Renewable Resource Data (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. 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 (recommended for analysts):

1. Create a new environment: conda create --name sup3r python=3.9

2. Activate environment: conda activate sup3r

3. Run this if you want to train models on GPUs: conda install -c anaconda tensorflow-gpu

4. Install sup3r: pip install NREL-sup3r

Option 2: Clone repo (recommended for developers)

1. from home dir, git clone [e-mail]:NREL/sup3r.git

2. Create sup3r environment and install package

   1. Create a conda env: conda create -n sup3r

   2. Run the command: conda activate sup3r

   3. cd into the repo cloned in 1.

   4. Run this if you want to train models on GPUs: conda install -c anaconda tensorflow-gpu

   5. Prior to running pip below, make sure the branch is correct (install from main!)

   6. 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 v0.0.2), 2022. DOI: 10.5281/zenodo.6808547