ENERGY-EFFICIENT AUTOMATION IN INDUSTRIAL ENTERPRISES

Authors

  • Khankeldiyeva Zebinisa Khabibovna Teacher, Bukhara state technical university

DOI:

https://doi.org/10.55640/

Keywords:

energy-efficient automation, industrial enterprises, smart sensors, predictive maintenance, process control systems, energy management software, variable frequency drives, industrial sustainability.

Abstract

This article explores the integration of energy-efficient automation in industrial enterprises, highlighting its role in reducing operational costs, enhancing productivity, and supporting sustainability goals. It examines key technologies such as smart sensors, IoT devices, automated process control systems, predictive maintenance, and energy management software. The discussion emphasizes both economic and environmental benefits, addresses implementation challenges, and outlines future trends, including AI-driven optimization and renewable energy integration.

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References

1.Ahmed, M., & Lee, F. (2020). Integrated Data Analysis and Visualization in Industrial Enterprises. Journal of Manufacturing Systems, 30(4), 200–218.

2.Patel, R., & Wang, L. (2021). Big Data Analytics for Automated Manufacturing: Techniques and Applications. International Journal of Industrial Informatics, 12(2), 55–72.

3.Li, X., & Roberts, J. (2022). Cloud-Based Visualization Solutions for Automated Systems. Journal of Automation and Smart Manufacturing, 18(3), 145–162.

4.Smith, J., & Johnson, L. (2020). Data Analytics in Automated Industrial Systems: Principles and Applications. New York: Industrial Press.

5.Brown, A., Miller, K., & Davis, R. (2019). Visualization Tools for Industrial Automation: Enhancing Decision-Making. Automation Today, 15(2), 34–50.

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Published

2026-02-19

Issue

Vol. 5 No. 02 (2026): Journal of Multidisciplinary Sciences and Innovations

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

How to Cite

ENERGY-EFFICIENT AUTOMATION IN INDUSTRIAL ENTERPRISES. (2026). Journal of Multidisciplinary Sciences and Innovations, 5(02), 1499-1502. https://doi.org/10.55640/

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