Published January 25, 2023 | Version 1.0
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Clustering electricity consumption patterns at household level

  • 1. Universidad de Deusto

Description

This repository contains:

  • A notebook in R language presenting a methodology, in line with the Data Science process, for clustering electricity consumption patterns at the household level.
  • Sixty files selected from the GoiEner dataset to illustrate the methodology.

Links:

  • The notebook hosted here is also available on Google Colab.
  • The GoiEner smart meter data can be found here.
  • A 90-minute video of a detailed presentation of the notebook, with precise explanations for its follow-up, can be viewed on YouTube (Carlos Quesada, ECEMP 2022 Conference).
  • A scientific paper with more information is being prepared and will be linked here when published.

Files

60 files from GoiEner dataset.zip

Files (7.7 MB)

Additional details

Related works

Cites
Dataset: 10.5281/zenodo.7362094 (DOI)

Funding

WHY – Climbing the causality ladder to understand and project the energy demand of the residential sector 891943
European Commission