inaccuraciesmeteorologycongestionmanagement

Backtesting framework to asses impact of inaccurate weatherforecasts on operational congestion management

https://github.com/frankkr/inaccuraciesmeteorologycongestionmanagement

Science Score: 67.0%

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 6 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (6.8%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Backtesting framework to asses impact of inaccurate weatherforecasts on operational congestion management

Basic Info
  • Host: GitHub
  • Owner: FrankKr
  • License: apache-2.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 48.4 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created over 3 years ago · Last pushed about 3 years ago
Metadata Files
Readme Changelog Contributing License Citation Codeowners Security

README.md

InaccuraciesMeteorologyCongestionManagement

Binder DOI License

This repository contains a framework to: - assess the predictability of a timeseries - investigate the impact of inaccurate weather forecasts on that predictability The framework is applied to a 1-year case study where a Distribution Grid Operator performed congestion management to balance the electricity grid.

The manuscript of that analysis is under preparation. This work is part of the Every Ray Counts! research project.

👋 Citing

Please reference the repository with this BibTeX:

@misc{sciencenotebooktemplate, doi = {10.5281/zenodo.7382724}, url = {https://zenodo.org/record/7382724}, author = {Kreuwel, F.P.M.}, title = {InaccuraciesMeteorologyCongestionManagement v1.0.0}, year = {2022}, copyright = {Open Access} }

Or APA format:

Kreuwel, F.P.M. (2022). InaccuraciesMeteorologyCongestionManagement (v1.0.0) [Computer software]. https://doi.org/10.5281/zenodo.7382724

🍁 Contributing

Contributions and questions are welcome via issues or direct messages. Please reach out if you are working on something similar!

Owner

  • Name: Frank Kreuwel
  • Login: FrankKr
  • Kind: user
  • Company: @Alliander @alliander-opensource

Citation (CITATION.cff)

cff-version: 1.1.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: Kreuwel
    given-names: Frank Peter Maria
    orcid: https://orcid.org/0000-0003-3288-0893
title: FrankKr/InaccuraciesMeteorologyCongestionManagement: V1
version: v1
date-released: 2022-11-30

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Dependencies

.github/workflows/checks.yml actions
environment.yml pypi
  • PyYAML *
  • kaleido ==0.1.0post1
  • openstef ==3.2.26
  • tqdm *