Case Study
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%.
Insights
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.
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.
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.
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.