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Achieving Affordable and Clean Energy Through AI and 5G Powered Internet of Energy (IoE)

Tulsi Pawan Fowdur (University of Mauritius, Mauritius)
Ashven Sanghan (University of Mauritius, Mauritius)

Artificial Intelligence, Engineering Systems and Sustainable Development

ISBN: 978-1-83753-541-5, eISBN: 978-1-83753-540-8

Publication date: 18 January 2024

Abstract

Energy production and distribution is undergoing a revolutionary transition with the advent of disruptive technologies such as the Internet of Energy (IoE), 5G and artificial intelligence (AI). IoE essentially involves automating and enhancing the energy infrastructure: the power grid from grid operators to energy generators and distribution utilities. The IoE also relies on powerful connectivity networks such as 5G, big data analytics and AI to optimise its operation. By incorporating the technology that employs ubiquitous devices such as smartphones, tablets or smart electric vehicles, it will be possible to fully exploit the potential of IoE using 5G networks. 5G networks will provide high speed connections between devices such as drones, tractors and cloud networks, to transfer huge amounts of sensor data. Additionally, there are many sources of isolated data across the main energy production units (generation, transmission and distribution), and the data is increasing at phenomenal rates. By applying AI to these data, major improvements can be brought at each stage of the energy production chain. Tying renewable energy to the telecommunications sector and leveraging on the potential of data analytics is something which is gaining major attention among researchers and industry experts. This chapter therefore explores the combination of three of the most promising technologies i.e. IoE, 5G and AI for achieving affordable and clean energy, which is SDG 7 in the UN Sustainable Development Goals (SDGs).

Keywords

Citation

Fowdur, T.P. and Sanghan, A. (2024), "Achieving Affordable and Clean Energy Through AI and 5G Powered Internet of Energy (IoE)", Fowdur, T.P., Rosunee, S., Ah King, R.T.F., Jeetah, P. and Gooroochurn, M. (Ed.) Artificial Intelligence, Engineering Systems and Sustainable Development, Emerald Publishing Limited, Leeds, pp. 97-108. https://doi.org/10.1108/978-1-83753-540-820241008

Publisher

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Emerald Publishing Limited

Copyright © 2024 Tulsi Pawan Fowdur and Ashven Sanghan. Published under exclusive licence by Emerald Publishing Limited