IIARD International Institute of Academic Research and Development

RESEARCH JOURNAL OF PURE SCIENCE AND TECHNOLOGY (RJPST )

E-ISSN 2579-0536
P-ISSN 2695-2696
VOL. 8 NO. 5 2025
DOI: 10.56201/rjpst.vol.8.no5.2025.pg110.119

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Optimizing Energy, Empowering Sustainability: A Review of Artificial Intelligence Integration in Engineering Devices

David E Echendu, Gabriel E Moses, Ajayi A Samuel, Nwokocha E Kelechi, Daniel, V Ademe, Shokenu E Segun, Daniel A Echendu, Walson Gift

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Abstract

Our planet is currently experiencing numerous environmental issues such as climate change, lack of energy resources as well as lack of available resources and therefore, the manufacture of machines and devices that are both energy efficient and environmentally friendly is highly needed. Artificial intelligence has influenced and revolutionized so many fields among them engineering. In this case, engineering has worn its shrunk entities to employ the machines in conserving and optimally utilizing energy, while enhancing the overall performance of the systems to be greener. This document surveys the literature on artificial intelligence in engineering devices, its applications and algorithms, emphasising energy efficiency and sustainable systems. Different AI approaches, including machine learning, neural networks, and optimization, will be discussed as they relate to applications in engineering devices. The paper also brings forth the case studies that show the proliferation of AI technology in the course of the performance of engineering duties as benefits in energy efficiency and management of other resources were realized. Lastly, the advantages associated with the use of AI in the being devices are discussed, as well as the constraints that need to be overcome if the possibilities it can offer are to be exploited.

keywords:

Artificial intelligence, Engineering devices, Energy, Optimization, Algorithms

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