Energy Efficiency in Smart Factories: Leveraging IoT, AI, and Cloud Computing for Sustainable Manufacturing

Authors

Keywords:

energy efficiency, smart factories, IoT, AI

Abstract

The rapid evolution of smart factories has necessitated innovative approaches to mitigate excessive energy consumption while maintaining operational efficiency. This research explores the integration of the Internet of Things (IoT), artificial intelligence (AI), and cloud computing to enhance energy efficiency in smart manufacturing environments. IoT-enabled sensors facilitate real-time energy monitoring, while AI-driven analytics optimize production processes through predictive maintenance and adaptive control strategies. Cloud-based platforms enable scalable data storage and computational capabilities, fostering interoperability and centralized decision-making for energy management. The paper examines the challenges associated with implementing these technologies, including data security, interoperability constraints, and computational overhead. Case studies highlight the effectiveness of AI-augmented energy optimization frameworks in reducing energy waste and improving sustainability. The findings underscore the transformative potential of these technologies in fostering energy-efficient, cost-effective, and environmentally sustainable manufacturing ecosystems.

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Published

25-06-2021

How to Cite

[1]
H. Rehan, “Energy Efficiency in Smart Factories: Leveraging IoT, AI, and Cloud Computing for Sustainable Manufacturing”, J. Computational Intel. & Robotics, vol. 1, no. 1, pp. 18–55, Jun. 2021.

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Vol. 1 No. 1 (2021): Journal of Computational Intelligence and Robotics

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