Sustainability-driven electrical engineering optimizing energy efficiency through ai and developing eco-friendly electronics
1 Independent Researcher, Osun State, Nigeria.
2 Independent Researcher; Lagos Nigeria.
3 Department of Mechanical Engineering, Nnamdi Azikiwe University, Awka, Nigeria.
Review Article
Global Journal of Research in Engineering and Technology, 2024, 02(02), 039–048.
Article DOI: 10.58175/gjret.2024.2.2.0031
Publication history:
Received on 21 August 2024; revis.ed on 01 October 2024; accepted on 04 October 2024
Abstract:
This paper explores the transformative potential of AI-driven solutions in optimizing energy efficiency and the development of eco-friendly materials for electronics. As global energy consumption and electronic waste continue to rise, innovative technologies are essential to mitigate their environmental impact. AI models have shown significant promise in enhancing the performance of smart grids and residential and industrial energy systems by predicting and adjusting energy usage in real time. Additionally, the research and development of sustainable materials for semiconductors and electronic components offer an important pathway to reducing the environmental footprint of electronics manufacturing. By aligning these advancements with national sustainability and climate goals, this paper highlights the critical role of AI and sustainable materials in creating a more energy-efficient and environmentally responsible future. The paper concludes by suggesting areas for future research, emphasizing the long-term impact of these technologies on the electrical engineering field and their contribution to sustainability.
Keywords:
AI-driven energy efficiency; Smart grids; Sustainable electronics materials; Energy optimization; Renewable energy integration
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0