Synthetic hourly electricity load data for the paper and food industries

Javier Valdes, Luis Ramirez Camargo

Research output: Contribution to journalArticle

Abstract

The data set includes hourly time series for a period of one year of electricity demand of three different types of industries. The industries include a small food processing company, one small paper industry and one medium-large paper producing company. The data have been synthetized from two years of measured data from industries in Chile using a comprehensive clustering analysis. The synthetic data possess the same statistical characteristics as the measured data but are provided normalized to one kWh and anonymized in order to be used without confidentiality issues. The data were originally used in the associated paper [1] to assess the demand side management potential of the industries but these can be used for further energy system modelling exercises including these types of industries.

Original languageEnglish
Article number106903
Number of pages7
JournalData in Brief
Volume35
DOIs
Publication statusPublished - Apr 2021

Bibliographical note

© 2021 The Authors. Published by Elsevier Inc.

Keywords

  • Cluster analysis
  • Demand response
  • Electricity load profiles
  • Load shifting

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