Predictive Analytics for Vegetation Management within Power Derived from Data Collected during Pruning Activities: A Strategy Approach to Enhancing Sustainability and Operational Efficiency in the Energy Sector

Advancements in data-driven technologies, particularly in advanced analytics and artificial intelligence, have become essential for improving service quality, operational efficiency, and sustainability across various sectors, including utilities. This study outlines the development of an analytical tool to support the planning and scheduling of vegetation management in electricity distribution networks. The main goal of this tool is to enhance maintenance fleet performance, optimize resource allocation for tree trimming, and reduce the risk of service disruptions caused by vegetation contacting electrical conductors. The presence of trees near distribution lines is a common cause of service interruptions. To address this issue, a new tool has been developed that enables simultaneous…