The thorny issue of utility vegetation management has received significant press in the recent past, and for good reason. Vegetation-related power outages are on an all-time high as reliability and customer experience nosedive drastically.
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To add to their woes, extreme weather events like storms, hurricanes and wildfires have posed massive challenges, pushing utilities to look for innovative technologies that can transform their O&M activities.
In a bid to enable utilities to better manage vegetation around their T&D lines and reduce costs, AiDash — a San Francisco Bay Area-based leading satellite analytics company — has launched an educational guide titled Vegetation Management Best Practices 2021. This e-book aims at educating vegetation management professionals about the latest technologies, such as satellite analytics and remote sensing, that can help them reduce vegetation-related customer interruptions, improving SAIFI and SAIDI reliability scores.
“Utilities are reeling under tremendous pressure to streamline their vegetation management processes. At a time when drones and LiDAR have failed to yield results for our Fortune 500 clients, satellite analytics has helped them achieve a 20% reduction in O&M costs and a 15% improvement in reliability – with ROI justified in the first year itself.” said AiDash CEO and Co-Founder Abhishek Vinod Singh.
“AiDash Intelligent Vegetation Management System (IVMS) is now a patent-pending technology”, Singh added.
The e-book also talks about using the right technology to prepare for disasters better, enabling them to make better-informed decisions.
DOWNLOAD THE E-BOOK NOW to get insights into the best practices of vegetation management that are proving beneficial for electric utilities.
About AiDash
AiDash is an AI-first vertical SaaS company enabling satellite-powered operations and maintenance for utility, energy and other core industries with geographically distributed assets. AiDash uses high-resolution, multispectral and SAR data from the world’s leading satellite constellations that are fed into its proprietary AI models to make timely predictions for O&M activities. These AI models empower AiDash full-stack applications and enable efficient planning, prioritization, execution, review and audit of O&M activities using satellite analytics. Visit aidash.com.
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