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1 - 10 of 30 results
Prioritize vegetation risk with predictive AI
See how GridInform Vegetation management solutions can help you price, prioritize and plan.
Electric perspectives: Data-driven approaches for effective storm responses
Listen to the Edison Electric Institute’s Electric Perspectives podcast to hear E Source’s Data Science Director, Kyle Decker, speak with utility leaders on how utilities are applying advanced data analytics to improve storm response operations.
Utility improves storm outage prediction accuracy by 20%
Data science case study
This case study explains how E Source Data Science helped a Northeastern utility reduce storm response costs by 25%.
Unpredictable storms demand adaptable response plans
See how GridInform Storm Insights can help utilities predict, plan, and respond to storms.
A Northeastern utility implements a data-driven vegetation management solution
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).
Storm outage prediction and management
Data science case study
This case study explains how E Source Data Science helps utilities optimize their storm outage prediction and management.
The right people, in the right place, at the right time: Workforce optimization
Data science case study
This case study explains how the E Source Data Science team helped a utility in the southern US improve operational efficiency without negatively affecting system reliability, power delivery quality, and customer experience.
Targeting high-risk circuits to improve infrastructure reliability and reduce customer outages
Data science case study
This case study explains how the E Source Data Science team helped a northeastern utility improve infrastructure reliability and reduce customer outages by targeting high-risk circuits.
Predicting new business projects to optimize staffing and infrastructural resources
Data science case study
This case study explains how the E Source Data Science team helped a West Coast gas utility predict new business projects to optimize staffing and infrastructural resources.
Targeting system reliability investment based on historical and predicted weather patterns
Data science case study
This case study explains how the E Source Data Science team helped a southern utility use historical and predicted weather patterns to target system reliability investment.