Case Study: Delaware Electric Cooperative achieves greater efficiency and reduced outages with Overstory

How Delaware Electric Cooperative transitions to risk-based trimming to increase efficiency

Delaware Electric Cooperative (DEC) was seeking a more efficient approach to vegetation management to prevent costly, weather-related power outages for its 109,000 members. Their previous cycle-based trimming method lacked the flexibility to prioritize high-risk areas, often wasting resources on low-impact work. To move to a predictive, risk-based model, DEC partnered with Overstory and its vegetation intelligence platform.

Using satellite imagery and machine learning, Overstory provided DEC with actionable insights to identify vegetation encroachment and prioritize trimming efforts based on risk and potential customer impact. This solution allowed DEC to create smarter work plans, leading to a projected 14% decrease in outage duration and an 18% reduction in miles trimmed. Overstory's platform enabled a significant improvement in resource efficiency and provided newfound flexibility in annual planning and budgeting.

Delaware Electric Cooperative

Grace Malcom

Data Scientist