Dataset Restricted Access

Time Series from Smart Meters

Cruz Enrique Borges Hernandez; Carlos Quesada-Granja

  • Name: Time Series from Smart Meters
  • Summary: The dataset contains: (1) raw and cleaned time series of smart meters from Spanish electric cooperatives, and (2) feature values and metadata extracted from residential load profiles, both from Spanish electric cooperatives and publicly available datasets.
  • License: CC BY-NC-SA
  • Acknowledge: These data have been collected in the framework of the WHY project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 891943.
  • Disclaimer: The sole responsibility for the content of this publication lies with the authors. It does not necessarily reflect the opinion of the Executive Agency for Small and Medium-sized Enterprises (EASME) or the European Commission (EC). EASME or the EC are not responsible for any use that may be made of the information contained therein.
  • Collection Date: The time series on Spanish electric cooperatives were collected between 2014 and 2021. Data on feature values and metadata were extracted between 2020 and 2021.
  • Publication Date:
  • DOI: 10.5281/zenodo.4455198
  • Other repositories:
  • Author: University of Deusto
  • Objective of collection: This data is collected originally for invoice of the electrical consumption. In this project will be used to segment the households.
  • Description: The dataset contains a CSV file with one entry for both each load profile of the Spanish electric cooperatives and publicly available load profiles. The fields that can be found for each entry are (1) metadata such as the originating dataset to which they belong, the start and end dates, number of days that have been imputed and/or extended, provenance (country, administrative division, municipality, zip code, origin identifier (households, businesses, industry, etc. ), classification of socioeconomic conditions, and tariffs; and (2) extracted features, grouped by types such as statistical moments, quantiles, lag d-day autocorrelations, seasonal aggregates, peak and off-peak periods, load factors, energy consumed, features obtained using the R package "tsfeatures", and Catch-22 features. In addition, the dataset also contains a rData file for each entry of the Spanish electric cooperatives. These files contain the original time series (timestamped values), a field indicating whether the signal has been imputed and/or extended and another field indicating the date of the extension.
  • 5 star: ⭐⭐⭐
  • Preprocessing steps: anonymization, data fusion, imputation of gaps, extension of time series shorter than 800 days, computation of features.
  • Reuse: NA
  • Update policy: The data will be updated throughout 2021.
  • Ethics and legal aspects: Spanish electric cooperative data contains the CUPS (Meter Point Administration Number), which is personal data. A pre-processing step has been carried out to substitute the CUPS by a MD5 hash.
  • Technical aspects: Decompressed data is quite large (big data).
  • Other:
Restricted Access

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Under legal revision. The dataset will be provided as CC BY-NC-SA. when legal clearance to be published is gotten.


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