Modelling household electricity consumption in eThekwini municipality

Authors

  • Samantha Reade Statistics Department, School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal (Westville Campus), Private Bag X 54001, Durban 4000
  • Temesgen Zewotir Statistics Department, School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal (Westville Campus), Private Bag X 54001, Durban 4000
  • Delia North Statistics Department, School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal (Westville Campus), Private Bag X 54001, Durban 4000

DOI:

https://doi.org/10.17159/2413-3051/2016/v27i2a1340

Keywords:

electricity consumption, mixed models, municipalities, billing

Abstract

South African municipalities are faced with the challenges of growing demand for services. This study models the energy consumption estimation practice within the Durban municipal area. It was found that an estimation technique that accounts for the seasonal and monthly effects, as well as residential type, predicts monthly individual household electricity consumption with minimum error. Models that were developed may be used to estimate electricity consumption for household billings within a municipality.

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Published

2016-07-20

Issue

Vol. 27 No. 2 (2016): Journal of Energy in Southern Africa. May

Section

Articles

How to Cite

Modelling household electricity consumption in eThekwini municipality. (2016). Journal of Energy in Southern Africa, 27(2), 38-49. https://doi.org/10.17159/2413-3051/2016/v27i2a1340