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efinsight

Electrification Futures Insight (EF-Insight)

https://github.com/slacgismo/efinsight

Science Score: 75.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 1 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Committers with academic emails
  • ✓
    Institutional organization owner
    Organization slacgismo has institutional domain (gismo.slac.stanford.edu)
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.9%) to scientific vocabulary

Keywords

clean-energy electrification forecasting power-grid
Last synced: 6 months ago · JSON representation ·

Repository

Electrification Futures Insight (EF-Insight)

Basic Info
Statistics
  • Stars: 1
  • Watchers: 4
  • Forks: 1
  • Open Issues: 1
  • Releases: 1
Topics
clean-energy electrification forecasting power-grid
Created about 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

Electrification Futures Insight DOI

The Electrification Futures Insight project aims to provide the impact of electrification on the load shapes of residential, commercial, industrial, public, and transportation sectors across all U.S. states, for variable electrification adaptation rates for different end-uses, and variable full electrification target years that depend on state and federal policies.

North American Electrification Loadshape Forecasting

Current EFInsight work is supporting the development of the North American Electrification Loadshape Forecasting tool which can be found here. The tool can also be run locally using marimo.

This tool currently performs loadshape forecasting for residential and commercial buildings using publicly available datasets. Building loadshapes are generated using NREL ResStock and ComStock data sets.

Methodology

Coming soon.

Environment Setup

To run the marimo notebook locally, you'll need to install the dependencies.

~~~ python3 -m venv . . bin/activate pip install -r requirements.txt ~~~

Run

The app can be run with the simple command ~~~ marimo run app.py ~~~

For more information on editing a marimo notebook, please refer to the marimo documentation.

How to cite this work

Please see the "Cite this repository" link on the landing page of this repository in the right sidebar for the citation in APA and BibTeX formats.

Contributions

We want your help/feedback! If you would like to contribute, it is recommended to fork the repository and submit a pull request with your changes. Alternatively, you can submit an Issue with a detailed description of what you would like to report.

Owner

  • Name: SLAC GISMo
  • Login: slacgismo
  • Kind: organization
  • Email: slacgismo@gmail.com
  • Location: SLAC National Accelerator Laboratory, Menlo Park, CA 94025

100% Clean Energy for All

Citation (CITATION.cff) 

efinsight: 0.1.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Chassin"
  given-names: "David P."
  orcid: "https://orcid.org/0000-0002-4914-4270"
- family-names: "Miskovich"
  given-names: "Sara A."
  orcid: "https://orcid.org/0000-0002-3302-838X"
- family-names: "Nijad"
  given-names: "Mohamed"
title: "efinsight"
version: 0.1.0
doi: 10.5281/zenodo.10413367
date-released: 2023-12-20
url: "https://github.com/slacgismo/efinsight"

GitHub Events

Total
Last Year

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 13
  • Total Committers: 1
  • Avg Commits per committer: 13.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 13
  • Committers: 1
  • Avg Commits per committer: 13.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Sara A. Miskovich s****h@g****m 13

Issues and Pull Requests

Last synced: about 2 years ago

All Time
  • Total issues: 4
  • Total pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: less than a minute
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 4
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: less than a minute
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • pluflou (4)
Pull Request Authors
  • pluflou (2)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

requirements.txt pypi
  • marimo ==0.1.64
  • matplotlib *
  • numpy *
  • pandas *