Case Study: Järvi-Suomen Energia improves grid reliability and reduces vegetation risk with Overstory

How machine learning and satellite imagery help Suur-Savon Sähkö avoid costly damage and prevent service outages

Järvi-Suomen Energia, the distribution system operator for Finnish utility Suur-Savon Sähkö, faced significant challenges managing vegetation risks across its vast and remote network. The existing method of monitoring power lines via helicopter photos was expensive, time-consuming, and prone to error, leading to costly storm-related damage and outages. They partnered with vegetation management intelligence company Overstory to find a more cost-efficient and accurate solution.

Overstory applied its AI and satellite imagery to analyze key risk factors like tree proximity, height, health, and species. This provided the utility with a data-driven, prioritized overview of risks, enabling them to develop efficient mitigation plans. The solution from Overstory empowered Järvi-Suomen Energia to preemptively prevent damage and outages without increasing its budget, achieving an anticipated 20% efficiency gain in its vegetation management operations.

Järvi-Suomen Energia

Arto Pajunen

Chief Executive Officer