A Survey of Home Energy Management Systems and their Efficacy in South Africa

Nkosinathi Madushele, Pavel Tabakov

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In 2022, South Africa experienced a total of 3776 hours of power outages, commonly known as load shedding. This had a significant economic impact, with estimates from the South African Reserve Bank suggesting a Gross Domestic Product (GDP) loss ranging from 0.7% to 3.2%. To address this issue, various initiatives are currently being implemented, including the implementation of renewable energy projects, effective maintenance of existing infrastructure, and a proposal to introduce smart meters to address challenges related to demand-side management (DSM). The electricity market in South Africa is transforming, and this is leading to the emergence of potential technologies that can help address the aforementioned challenges. One such technology is the Home Energy Management System (HEMS). This paper surveys this technology and assesses its potential effectiveness in the South African context.

Original languageEnglish
Title of host publication2024 Conference on Information Communication Technology and Society, ICTAS 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages209-213
Number of pages5
ISBN (Electronic)9798350314892
DOIs
Publication statusPublished - 2024
Externally publishedYes
Event8th Conference on Information Communication Technology and Society, ICTAS 2024 - Hybrid, Durban, South Africa
Duration: 7 Mar 20248 Mar 2024

Publication series

Name2024 Conference on Information Communication Technology and Society, ICTAS 2024 - Proceedings

Conference

Conference8th Conference on Information Communication Technology and Society, ICTAS 2024
Country/TerritorySouth Africa
CityHybrid, Durban
Period7/03/248/03/24

Keywords

  • Computational Intelligence
  • Demand Side Management
  • Home Energy Management System
  • Smart Sensors

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Information Systems and Management
  • Control and Optimization

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