Smart Energy Management in Nigeria: Implementing IoT and AI for Sustainable Urban Development

This article explores the application of Artificial Intelligence (AI) and the Internet of Things (IoT) in improving renewable energy management within urban development in Nigeria. With the global shift towards sustainable living, many urban areas are upgrading their infrastructure to be more environmentally friendly. This transition involves advancements in waste management, increased renewable energy generation, and integration of modern technologies to optimise energy systems. A key focus of this research is the importance of effective policies in addressing challenges within the energy, transportation, and building sectors. The document emphasises collaboration among municipal authorities and stakeholders to optimise clean energy deployment, making cities smarter and more sustainable. The Smart Green Energy (IoT-SGE) system is central to this discussion, as it employs IoT technology for precise energy usage regulation through continuous monitoring and secure communication. The integration of AI allows the system to learn and adapt over time, significantly enhancing energy management efficiency. The article provides insights into best practices and frameworks for advancing smart cities with improved renewable energy management by examining various studies and practical applications. It also analyses successful case studies from global smart cities, demonstrating how innovative strategies can lead to sustainable urban growth. This research aims to outline a comprehensive strategy for implementing smart energy management systems, fostering a more sustainable future for urban areas in Nigeria.

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Publication Details

Journal
Path of Science
Published
2024-10-31
DOI
https://doi.org/10.22178/pos.110-4
Citations
3
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.63
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article

Smart Energy Management in Nigeria: Implementing IoT and AI for Sustainable Urban Development

Christian Chukwuemeka Nzeanorue, Benedict Chibukem Okpala
3 citations
Path of Science
Smart Grid Energy Management
0.63
article

Smart Energy Management in Nigeria: Implementing IoT and AI for Sustainable Urban Development

Christian Chukwuemeka Nzeanorue, Benedict Chibukem Okpala
article en
3 citations

Abstract

This article explores the application of Artificial Intelligence (AI) and the Internet of Things (IoT) in improving renewable energy management within urban development in Nigeria. With the global shift towards sustainable living, many urban areas are upgrading their infrastructure to be more environmentally friendly. This transition involves advancements in waste management, increased renewable energy generation, and integration of modern technologies to optimise energy systems. A key focus of this research is the importance of effective policies in addressing challenges within the energy, transportation, and building sectors. The document emphasises collaboration among municipal authorities and stakeholders to optimise clean energy deployment, making cities smarter and more sustainable. The Smart Green Energy (IoT-SGE) system is central to this discussion, as it employs IoT technology for precise energy usage regulation through continuous monitoring and secure communication. The integration of AI allows the system to learn and adapt over time, significantly enhancing energy management efficiency. The article provides insights into best practices and frameworks for advancing smart cities with improved renewable energy management by examining various studies and practical applications. It also analyses successful case studies from global smart cities, demonstrating how innovative strategies can lead to sustainable urban growth. This research aims to outline a comprehensive strategy for implementing smart energy management systems, fostering a more sustainable future for urban areas in Nigeria.

Path of ScienceVol. 10(10)
George Washington University (US), Kiryu University (JP)
Sustainable cities and communities
Openalex Percentile: Top 30%
Smart Grid Energy Management
0.63
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Smart Energy Management in Nigeria: Implementing IoT and AI for Sustainable Urban Development — Christian Chukwuemeka Nzeanorue, Benedict Chibukem Okpala · Path of Science (2024) | TGRS Research Map | TGRS