online_bayesian_inference_etfa_2025

Bayesian PV power forecasting using pvlib and Pyro (for ETFA 2025)

https://github.com/wireless-information-networking/online_bayesian_inference_etfa_2025

Science Score: 44.0%

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
  • Academic links in README
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (0.4%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Bayesian PV power forecasting using pvlib and Pyro (for ETFA 2025)

Basic Info
  • Host: GitHub
  • Owner: Wireless-Information-Networking
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 599 KB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 9 months ago · Last pushed 7 months ago
Metadata Files
License Citation

Owner

  • Name: Wireless Information Networking
  • Login: Wireless-Information-Networking
  • Kind: organization
  • Location: Spain

Wireless Information Networking (WIN) Group in the Telecommunications and Systems Engineering Department at UAB

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software in your research, please cite it as below."
title: "Online Bayesian Inference ETFA 2025"
type: software
authors:
  - family-names: "Arús Setó"
    given-names: "Adrià"
    orcid: "https://orcid.org/0009-0002-8777-8116"
    affiliation: "Wireless Information Networking Group, UAB"
repository-code: "https://https://github.com/Wireless-Information-Networking/Online_Bayesian_Inference_ETFA_2025"
url: "https://https://github.com/Wireless-Information-Networking/Online_Bayesian_Inference_ETFA_2025"
abstract: >-
  Bayesian PV power forecasting using pvlib and Pyro (for ETFA 2025)
keywords:
  - Photovoltaic Forecasting
  - Online Machine Learning
  - Bayesian Inference
  - Bayesian Machine Learning
  - Uncertainty Quantification
  - Solar Panel Efficiency
license: MIT
version: 4.0.0
date-released: 2025-06-04
preferred-citation:
  type: software
  authors:
    - family-names: "Arús Setó"
      given-names: "Adrià"
      orcid: "https://orcid.org/0009-0002-8777-8116"
      affiliation: "Wireless Information Networking Group, UAB"
  title: "Online Bayesian Inference ETFA 2025"
  year: 2025
  url: "https://https://github.com/Wireless-Information-Networking/Online_Bayesian_Inference_ETFA_2025"
  repository-code: "https://https://github.com/Wireless-Information-Networking/Online_Bayesian_Inference_ETFA_2025"
  abstract: >-
    Bayesian PV power forecasting using pvlib and Pyro (for ETFA 2025)
  keywords:
    - Photovoltaic Forecasting
    - Online Machine Learning
    - Bayesian Inference
    - Bayesian Machine Learning
    - Uncertainty Quantification
    - Solar Panel Efficiency
  license: MIT
  version: 4.0.0

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