Trees and powerlines

Vegetation Management

Manage vegetation growth and prevent avoidable outages. Vegetation Management uses AI-powered predictive modeling and remote sensing to identify vegetation risk early, maintain trimming cycles, and prioritize the spans that matter most—helping utilities make proactive decisions, control O&M costs, and improve grid reliability with every dollar spent.

Lidar image of trees with overlay

Identify risk

See exactly where vegetation will cause problems. We combine utility data with satellite imagery, LiDAR, and 400+ system variables to pinpoint high-risk spans and forecast outage likelihood. These insights help utilities understand where overgrowth will have the greatest reliability impact and provide a clear, defensible basis for vegetation-related decisions with regulators and leadership.

Power line repair in the snow

Model impact

Compare scenarios and evaluate vegetation strategies before deploying crews or spending budget. Our digital models forecast cost and reliability outcomes, helping utilities balance staying on cycle with targeting high-risk areas. These insights give leaders clearer visibility into the tradeoffs behind each vegetation strategy.

Powerlines and highway

Prioritize work

Focus efforts where they matter most. Utilities using our model have reduced O&M spending by up to 30% and doubled ROI by directing work to the areas with the greatest reliability benefit. The model shows which spans to trim, when to schedule crews, and how to allocate budget for maximum impact—helping utilities improve performance without increasing spend.

cost icon

Cost savings

decision icon

Informed decisions

improvement image

Improved reliability

Case Study

More case studies

A Northeastern utility implements a data-driven vegetation management solution

This case study explains how the E Source Data Science team helped a Northeastern utility deploy a risk-based vegetation management solution that improved the System Average Interruption Frequency Index (SAIFI) by 14%.

Read the Case Study
Aerial view of a dense forest in autumn with trees displaying green, yellow, and orange foliage.
More case studies

Insights

More Insights
Mailbox covered in snow on a snowy roadside

Data-driven storm response for a reliable and resilient grid: Fireside chat with PPL Electric Utilities and the Institute for Electric Innovation

Earlier this year, we joined the Institute for Electric Innovation’s Thought Leaders Speak Out 2023: Engaging Customers with Technology series.
Read More
City skyline with glowing binary code and connected digital nodes

How DTE Energy is steering the bus through a data-driven transformation in 2024

Many utilities feel as though their journey with data science is still just beginning. The early days of a data-driven transformation require a lot of work and determination, but they’re also exciting as utilities prepare for the improved solutions that data science will bring them.
Read More
Hands typing on laptop with overlay of power lines and digital network

Unlocking value: How data science is helping Alabama Power make 2024 a transformative year

Data science is opening up new avenues for utilities to quickly analyze the data available to them, which enables their engineering teams to diagnose system issues in ways that were previously unattainable.
Read More
More Insights

Maximize your vegetation management spend.

Connect with our team today to see how Vegetation Management can help you target high-risk areas, prioritize work, and get the most from your vegetation management budget.