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

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

doi:10.1109/EEAE53789.2022.9831359

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

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

Postgraduate School of Engineering Management

University of Johannesburg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 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 language	English
Title of host publication	2022 8th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2022 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665407090
DOIs	https://doi.org/10.1109/EEAE53789.2022.9831359
Publication status	Published - 2022
Event	8th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2022 - Ruse, Bulgaria Duration: 30 Jun 2022 → 2 Jul 2022

Publication series

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

Conference

Conference	8th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2022
Country/Territory	Bulgaria
City	Ruse
Period	30/06/22 → 2/07/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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

Access to Document

10.1109/EEAE53789.2022.9831359

Cite this

Mashapu, L. D., Eboule, P. S. P., & Pretorius, J. H. C. (2022). The Need for Artificial Intelligence for Energy-Efficiency Management: A Review. In 2022 8th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2022 - Proceedings (2022 8th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2022 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EEAE53789.2022.9831359

Mashapu, Lehlogonolo David ; Eboule, Patrick S.Pouabe ; Pretorius, Jan Harm C. / The Need for Artificial Intelligence for Energy-Efficiency Management : A Review. 2022 8th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 8th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2022 - Proceedings).

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title = "The Need for Artificial Intelligence for Energy-Efficiency Management: A Review",

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.",

keywords = "Artificial intelligence, Energy efficiency, Energy forecasting, Energy-efficiency management, Renewable energy",

author = "Mashapu, \{Lehlogonolo David\} and Eboule, \{Patrick S.Pouabe\} and Pretorius, \{Jan Harm C.\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 8th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2022 ; Conference date: 30-06-2022 Through 02-07-2022",

year = "2022",

doi = "10.1109/EEAE53789.2022.9831359",

language = "English",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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

address = "United States",

}

Mashapu, LD, Eboule, PSP & Pretorius, JHC 2022, The Need for Artificial Intelligence for Energy-Efficiency Management: A Review. in 2022 8th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2022 - Proceedings. 2022 8th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2022 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 8th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2022, Ruse, Bulgaria, 30/06/22. https://doi.org/10.1109/EEAE53789.2022.9831359

The Need for Artificial Intelligence for Energy-Efficiency Management: A Review. / Mashapu, Lehlogonolo David; Eboule, Patrick S.Pouabe ; Pretorius, Jan Harm C.
2022 8th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 8th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2022 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The Need for Artificial Intelligence for Energy-Efficiency Management

T2 - 8th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2022

AU - Mashapu, Lehlogonolo David

AU - Eboule, Patrick S.Pouabe

AU - Pretorius, Jan Harm C.

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Artificial intelligence

KW - Energy efficiency

KW - Energy forecasting

KW - Energy-efficiency management

KW - Renewable energy

UR - https://www.scopus.com/pages/publications/85135919601

U2 - 10.1109/EEAE53789.2022.9831359

DO - 10.1109/EEAE53789.2022.9831359

M3 - Conference contribution

AN - SCOPUS:85135919601

T3 - 2022 8th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2022 - Proceedings

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

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 30 June 2022 through 2 July 2022

ER -

Mashapu LD, Eboule PSP , Pretorius JHC. The Need for Artificial Intelligence for Energy-Efficiency Management: A Review. In 2022 8th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 8th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2022 - Proceedings). doi: 10.1109/EEAE53789.2022.9831359

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

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this