The Need for Artificial Intelligence for Energy-Efficiency Management: A Review

Lehlogonolo David Mashapu, Patrick S.Pouabe Eboule, Jan Harm C. Pretorius

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

2 Citations (Scopus)

Abstract

The research presented in this paper examines the potential of artificial intelligence (AI) to improve energy-efficiency management in South Africa. This paper reviews and compares conventional methods with AI-based techniques used in energy-efficiency management systems. Various AI techniques have been investigated in this domain such as the artificial neural network and support vector machine. AI techniques offer the advantage of being more accurate when calculating non-linear parameters and thus are more efficient. Improved energy efficiency could allow more communities to gain access to electricity and improve their general living conditions.

Original languageEnglish
Title of host publication2022 8th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665407090
DOIs
Publication statusPublished - 2022
Event8th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2022 - Ruse, Bulgaria
Duration: 30 Jun 20222 Jul 2022

Publication series

Name2022 8th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2022 - Proceedings

Conference

Conference8th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2022
Country/TerritoryBulgaria
CityRuse
Period30/06/222/07/22

Keywords

  • Artificial intelligence
  • Energy efficiency
  • Energy forecasting
  • Energy-efficiency management
  • Renewable energy

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Waste Management and Disposal
  • Control and Optimization

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