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E Source case study
This case study explains how the E Source IWRMC helps utilities improve wildfire response through collaboration.
See how GridInform Vegetation management solutions can help you price, prioritize and plan.
Data science case study
This case study explains how the E Source Data Science team helped a Northeastern utility deploy a risk-based vegetation management solution that delivered a 14% improvement in System Average Interruption Frequency Index (SAIFI).
Utility and customer strategies for wildfire mitigation and readiness
Learn how you can improve customer experience and reduce wildfire risk by openly communicating with your customers about your utility’s wildfire safety plans. Show customers what you’re doing to prevent fires and empower customers to do their own wildfire mitigation and preparation.
We see 2023 as the year utilities began to fight the numerous challenges ahead of them using data science. Learn more about how we aim to help utilities in 2024 use the data available to them to invest in the grid.
Suite of solutions provides predictive decision support for the Sustainable Utility
This press release introduces E Source Digital Grid Solutions, a comprehensive decision-support tool that enables utilities to make critical operations and maintenance and capital investment decisions based on risk and ROI.
An AI solution to accurately predict vegetation-induced outage risk and optimize mitigation returns
E Source offers the industry’s most powerful Vegetation Management solution as part of its Digital Grid Solutions suite, which also includes Storm Insight and Capital Optimization. Learn more about the Vegetation Management solution.
Data science case study
We've helped utilities optimize and streamline their vegetation management operations. Learn how.
This press release invites utility professionals to register for a free webinar on Wednesday, March 10: Data-driven vegetation management boosts reliability and reduces costs for utilities. Join E Source to learn how to save on operations and maintenance costs related to vegetation management.
Learn how utilities can lower operations costs and improve reliability by applying predictive data and machine learning to vegetation management. With data science, utilities will also minimize problems from unplanned work and ultimately improve safety and customer satisfaction.