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Masebinu SO, Holm-Nielsen JB, Mbohwa C, et al. Electricity consumption data of a student residence in Southern Africa. Data Brief. 2020;32:106150doi: 10.1016/j.dib.2020.106150.
Masebinu, S. O., Holm-Nielsen, J. B., Mbohwa, C., Padmanaban, S., & Nwulu, N. (2020). Electricity consumption data of a student residence in Southern Africa. Data in brief, 32106150. https://doi.org/10.1016/j.dib.2020.106150
Masebinu, S O, et al. "Electricity consumption data of a student residence in Southern Africa." Data in brief vol. 32 (2020): 106150. doi: https://doi.org/10.1016/j.dib.2020.106150
Masebinu SO, Holm-Nielsen JB, Mbohwa C, Padmanaban S, Nwulu N. Electricity consumption data of a student residence in Southern Africa. Data Brief. 2020 Aug 08;32:106150. doi: 10.1016/j.dib.2020.106150. eCollection 2020 Oct. PMID: 32904363; PMCID: PMC7452690.
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Data Brief. 2020 Aug 08;32:106150. doi: 10.1016/j.dib.2020.106150. eCollection 2020 Oct.

Electricity consumption data of a student residence in Southern Africa.

Data in brief

S O Masebinu, J B Holm-Nielsen, C Mbohwa, S Padmanaban, N Nwulu

Affiliations

  1. Process, Energy and Environmental Technology Station, University of Johannesburg, South Africa.
  2. Center for Bioenergy and Green Engineering, Department of Energy Technology, Aalborg University, Esbjerg, Denmark.
  3. Department of Quality and Operations Management, University of Johannesburg, South Africa.
  4. Electrical and Electronic Engineering Department, University of Johannesburg, South Africa.

PMID: 32904363 PMCID: PMC7452690 DOI: 10.1016/j.dib.2020.106150

Abstract

The time-series dataset presented in this article was captured using a real-time energy monitoring device from a distribution panel of a student residence in Johannesburg, South Africa. The data was captured from April 2016 to January 2018. The data from the three conductors supplying the student residence with electricity was automatically aggregated and presented as a single data point. The granularity was at resolution levels of watt-minute and kilowatt-hour. A total of 13,966 hrs of data points was captured. The data has not been processed further. Hence, data consists of 1,209-hour of missing data points. In addition to the energy consumption data, 16 months of hourly data for wind speed, temperature and humidity of the closest weather station has been provided. The data will be useful in the formulation of mathematical models of electricity consumption that is most suitable for a student residence. Furthermore, the data provided in this article will encourage the development of a data-driven electricity consumption management strategy and policy formulation for student residences.

© 2020 The Authors. Published by Elsevier Inc.

Keywords: Data analysis; Electricity consumption; Energy efficiency; Real-time data; Renewable energy

Conflict of interest statement

The authors declare that they have no known competing financial interest or personal relationship which have, or could be perceived to have, influenced the data reported in this work.

References

  1. Data Brief. 2018 Sep 26;21:1-7 - PubMed

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