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1 - 10 of 20 results
How Arizona Public Service improves wildfire response through collaboration
E Source case study
This case study explains how the E Source IWRMC helps utilities improve wildfire response through collaboration.
Prioritize vegetation risk with predictive AI
See how GridInform Vegetation management solutions can help you price, prioritize and plan.
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.
WEC Energy Group and NorthWestern Energy earn top marks in E Source’s 2024 Utility Business Customer Satisfaction Study
The independent study, conducted by E Source, surveyed over 2,700 customers across small, midsize, and large businesses.
This press release announces top results of E Source’s 2024 Utility Business Customer Satisfaction Study.
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.
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.
Letting data do the work to better understand customers and their energy needs
Data science case study
This case study explains how the E Source Data Science team helped a midwestern utility understand customers as an Audience of One to better meet their energy needs.