Integrating AIoT for Enhanced Monitoring and Optimization of Transmission Lines Earthing System

Abstract
This study investigates the integration of Artificial Intelligence of Things (AIoT) in transmission line earthing systems for enhanced monitoring and optimization. Leveraging real-time data insights, the research utilizes a dataset encompassing ground resistance, fault currents, and environmental conditions. The methodology involves the seamless integration of AIoT technologies, providing a transformative approach to earthing system management. Findings reveal significant patterns and trends, showcasing the potential of AIoT to revolutionize system dynamics. Contributions include advancements in monitoring and optimization, addressing longstanding challenges. The results highlight the economic, environmental, and safety benefits of the proposed integration, setting the stage for an intelligently adaptive and resilient future in power system management.

Author
sazan kamal sulaiman

DOI
https://doi.org/10.1007/978-3-031-62881-8_29

Publisher
Springer Nature

ISSN
978-3-031-62881-8

Publish Date: