CITATION.cff

cff-version: 1.2.0
title: The Super-Resolution for Renewable Resource Data (sup3r)
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - family-names: Benton
    given-names: Brandon
    affiliation: NREL
    orcid: "https://orcid.org/0009-0008-9931-2050"
  - family-names: Buster
    given-names: Grant
    affiliation: NREL
    orcid: "https://orcid.org/0000-0001-8616-8100"
  - family-names: Hassanaly
    given-names: Malik
    affiliation: NREL
    orcid: "https://orcid.org/0000-0002-0425-9090"
  - family-names: Pinchuk
    given-names: Pavlo
    affiliation: NREL
    orcid: "https://orcid.org/0000-0003-4736-4728"
  - family-names: Podgorny
    given-names: Slater
    affiliation: NREL
    orcid: "https://orcid.org/0009-0008-4903-411X"
  - family-names: Glaws
    given-names: Andrew
    affiliation: NREL
    orcid: "https://orcid.org/0000-0002-7268-1883"
  - family-names: King
    given-names: Ryan
    affiliation: NREL
    orcid: "https://orcid.org/0000-0002-0591-7139"
identifiers:
  - type: doi
    value: 10.5281/zenodo.6808547
repository-code: 'https://github.com/NREL/sup3r'
abstract: >-
  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.
keywords:
  - machine-learning
  - deep-learning
  - generative-adversarial-network
  - climate-change
  - tensorflow
  - climate-data
  - solar-energy
  - renewable-energy
  - wind-energy
license: BSD-3-Clause
commit: 6d0f100
version: 0.1.2
date-released: '2023-12-18'