Search

Refine search

Type

Service

Topic

Tool

Refine search

Type

Service

Topic

Tool

11 - 20 of 73 results
About the Grid Executive Conference
Learn more about the E Source Grid Executive Conference, an exclusive event where utility leaders, executives, and visionaries explore and influence the future of the energy grid. In a rapidly transforming landscape, this event promises deep insights, discussions, and networking opportunities.
Improving utility storm response
Host Bryan Jungers welcomes to the podcast E Source Data Science colleagues Josh Denzler, director of sales innovation, and Devon Grodkiewicz, solutions adviser. They discuss the challenges utilities face in storm planning, response, and recovery as storms are becoming more frequent and more severe.
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.
Boosting customer program adoption rates with market research and data science
Research and advisory case study
This case study explains how E Source helped a municipally owned power and water utility boost customer program adoption rates with market research and data science.
Providing customers with new energy-saving measures to help meet decarbonization goals
Research and advisory case study
This case study explains how an E Source membership helped a utility provide its customers with new energy-saving measures to help meet its decarbonization goals.
How utilities can save the day with data science and AMI data
What if you could tell customers their HVAC system had a problem before it stopped working on the hottest day? What if you had the power to know everyone who owned an EV charger and could plan for those grid impacts? Find out how your utility can be the hero in your customers’ stories.
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.
Storm season is coming
How data science can predict outages and help you keep customers informed
Preventing outages is the best way to provide the optimal customer experience. And thanks to the power of data science and predictive analytics, E Source has curated tools that help utilities better anticipate outages.
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.