AI and IoT for Energy Optimization


Authors : Nirma Kumari Sharma; Joel Joseph Ghibi

Volume/Issue : Volume 9 - 2024, Issue 8 - August

Google Scholar : https://tinyurl.com/yc6bcmsd

Scribd : https://tinyurl.com/56596b6u

DOI : https://doi.org/10.38124/ijisrt/IJISRT24AUG1401

Abstract : The Energy sector all over the world is faced with the challenges on how to control wastages to its minimal bearing point with a view to optimize its consumption. The generation is capital intensive and the demand by the consumers is very high and the global world cannot wait to have a carbon free zone. Hence, the need for a greener and clean energy without leakages or wastages by the consumers The research work is focusing on the role of Artificial Intelligence (AI) and Internet of Things (IOT) for energy optimization in Nigeria, a country where the demand for energy is far higher than its supply in both government buildings, residential buildings as well as market and business places. The emergence of Internet of Things (IOT), smart technologies and AI (artificial intelligence) has made it possible to integrate renewable energy solutions together with a view to meet up consumer’s demand and to create a carbon free environments to improve Energy generation without causing major harm to the environment as well as reducing energy wastages by both the generating company and the consumers in the Building Construction Industry (BCI) With our current nature of power supply, Artificial Intelligence and Internet of Things are needed to synchronize the conventional power source and other backups sources like the fuel (diesel and PMS) generators and solar for steady power supply and by extension, steady work flow in the offices, residential buildings, business shops and market places. The Building Construction Industry in Nigeria has a market size of about USD$105.8 billion in 2023 with an annual expectancy growth projection of >3% for a population of about 225.604 million people hence, the urgent need for more energy generation and proper optimization. Finally, this paper will also look at some of the challenges with AI and IOT technologies in building structures as well as possible recommendations for a better greener carbon free environment

References :

  1. Jian Shen and Tianqi Zhou, ‘’Secure and Intelligent Energy Data Management Scheme for Smart IoT Devices’’ Wireless Communications and Mobile Computing Volume 2020, Article ID 8842885, 11 pages, Published 1 September 2020.
  2. K. Shyam Sunder Reddy a, M. Manohara b , K. Shailaja c , P. Revathy d , Thota Mahesh Kumar e , G. Premalatha, ‘’Power management using AI-based IOT systems’’ Sciencedirect.com/journal/measurement-sensors 24 (2022) 100551, 6 pages, Published by Elsevier Ltd  26 October 2022.
  3. Hooman Farzaneh, Ladan Malehmirchegini, Adrian Bejan, Taofeek Afolabi, Alphonce Mulumba and Precious P. Daka, ‘’Artificial Intelligence Evolution in Smart Buildings for Energy Efficiency’’ Applied science Journal (Appl. Sci. 2021, 11, 763). https://doi.org/10.3390/app11020763, 25pages, Published by MDPI, 14 January 2021
  4. Mamoona Humayun a*, Mohammed Saleh Alsaqerb , and Nz Jhanjhi, ‘‘Energy Optimization for Smart Cities Using IOT’’ Applied Artificial Intelligence, an International Journal, 18 pages, Published with license by Taylor & Francis Group, LLC and accepted on 28 January 2022.
  5. Mandeep Kaur, AI- and IoT-based energy saving mechanism by minimizing hop delay in multi-hop and advanced optical system based optical channels, Optical and Quantum Electronics volume 55, Article number: 635 (2023) Cite this article64 Accesses 4 Citations Metricsdetails
  6. Professor) b, Aparna Aravelli (Research specialist) c, Jaya Dofe (Assistant Professor) d, Hardik Gohel (Director of Applied Artificial Intelligence Laboratory) Show more Add to Mendeley Share Cite https://doi.org/10.1016/j.iot.2020.100354Get rights and content
  7. Abdallah & Odeleke , Energy Security in Nigeria: Challenges and Prospects. Journal of Arid Zone Economy 1(1): (2023) 101 – 111 ISSN: 2992–4952
  8. Navneet kumar (Author), Internet of Things-IoT: Definition, Characteristics, Architecture, Enabling Technologies, Application & Future Challenges Paperback – April 26, 202

The Energy sector all over the world is faced with the challenges on how to control wastages to its minimal bearing point with a view to optimize its consumption. The generation is capital intensive and the demand by the consumers is very high and the global world cannot wait to have a carbon free zone. Hence, the need for a greener and clean energy without leakages or wastages by the consumers The research work is focusing on the role of Artificial Intelligence (AI) and Internet of Things (IOT) for energy optimization in Nigeria, a country where the demand for energy is far higher than its supply in both government buildings, residential buildings as well as market and business places. The emergence of Internet of Things (IOT), smart technologies and AI (artificial intelligence) has made it possible to integrate renewable energy solutions together with a view to meet up consumer’s demand and to create a carbon free environments to improve Energy generation without causing major harm to the environment as well as reducing energy wastages by both the generating company and the consumers in the Building Construction Industry (BCI) With our current nature of power supply, Artificial Intelligence and Internet of Things are needed to synchronize the conventional power source and other backups sources like the fuel (diesel and PMS) generators and solar for steady power supply and by extension, steady work flow in the offices, residential buildings, business shops and market places. The Building Construction Industry in Nigeria has a market size of about USD$105.8 billion in 2023 with an annual expectancy growth projection of >3% for a population of about 225.604 million people hence, the urgent need for more energy generation and proper optimization. Finally, this paper will also look at some of the challenges with AI and IOT technologies in building structures as well as possible recommendations for a better greener carbon free environment

Video Explanation for Published paper

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