Artificial intelligence
Most recent content on this topic
Electric perspectives: Data-driven approaches for effective storm responses
Kyle Decker | April 23, 2025
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.
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Prioritize vegetation risk with predictive AI
October 14, 2024
See how GridInform Vegetation management solutions can help you price, prioritize and plan.
Unpredictable storms demand adaptable response plans
October 14, 2024
See how GridInform Storm Insights can help utilities predict, plan, and respond to storms.
A Northeastern utility implements a data-driven vegetation management solution
July 1, 2024
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).
Case study
Utility improves storm outage prediction accuracy by 20%
October 14, 2024
This case study explains how E Source Data Science helped a Northeastern utility reduce storm response costs by 25%.
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Storm outage prediction and management
October 13, 2023
This case study explains how E Source Data Science helps utilities optimize their storm outage prediction and management.
Case study
The right people, in the right place, at the right time: Workforce optimization
May 23, 2023
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.
Case study
Targeting high-risk circuits to improve infrastructure reliability and reduce customer outages
May 5, 2023
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.
Case study
Targeting system reliability investment based on historical and predicted weather patterns
March 9, 2023
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.
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