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ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
Claim

Data for "Let The Sun In: Clean Energy Is The Cheapest Way To Meet Rising Demand"

Research datakeyboard_double_arrow_right Dataset 29 Jun 2026Publisher:Zenodo
Authors: Pierpont, Brendan; Fripp, Matthias; Solomon, Michelle;

doi: 10.5281/zenodo.21040832 , 10.5281/zenodo.21048906 , 10.5281/zenodo.21048907 , 10.5281/zenodo.21040831 , 10.5072/zenodo.528072

Data for "Let The Sun In: Clean Energy Is The Cheapest Way To Meet Rising Demand"

Abstract

This repository contains Switch model inputs and outputs used for the June 2026 Energy Innovation study "Let The Sun In: Clean Energy Is The Cheapest Way To Meet Rising Demand". Please see the main study repository at https://github.com/EnergyInnovation/Switch-US-Load-Growth-2030 for instructions on how to use these files to reproduce the study results. More information on Energy Innovation is available at https://energyinnovation.org/. More information on Switch is available at https://switch-model.org. You can setup a minimal version of the models used for the study, containing only the Switch model inputs and outputs, not the upstream data or reporting scripts, by installing Switch 2.0.9 from PyPI or conda-forge, then expanding all the .zip files from this Zenodo repository into a common directory (use the '_unix' version for macOS and Linux, '_windows' version for MS Windows).

Keywords

Power system planning, Electric power systems, Renewable energy, Coal, Solar energy, Electric power generation, Energy system modeling, Wind power, Resource adequacy, Natural gas, Electric batteries, Energy policy

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Energy Research