Component-Level Power Consumption Modelling and Assembly Line Optimisation: AI-Driven Energy Efficiency Solutions for U.S. Laptop Manufacturing

Authors

  • Emily Chen Associate Professor of Computer Science, City College of New York

Keywords:

component-level power consumption modelling, assembly line optimisation, energy efficiency solutions, u.s. laptop manufacturing, machine learning

Abstract

The focus on AI-driven energy efficiency solutions for sustainable U.S. Laptop Manufacturing is rooted in the need to address the existing challenges in the manufacturing sector related to energy consumption and sustainability. As highlighted by [1] , the rise of highly efficient data factories, known as hyperscale facilities, has demonstrated the potential to significantly reduce energy consumption in conventional data centers.

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Published

31-12-2022

How to Cite

[1]
“Component-Level Power Consumption Modelling and Assembly Line Optimisation: AI-Driven Energy Efficiency Solutions for U.S. Laptop Manufacturing”, Human-Computer Interaction Persp., vol. 2, no. 2, pp. 55–66, Dec. 2022, Accessed: Jun. 04, 2026. [Online]. Available: https://thesciencebrigade.com/hcip/article/view/790