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As the intensity of storms increases, utilities are often faced with more damage to their infrastructure than in past decades. Using predictive analytics during storm preparation and response, we can better manage these more frequent severe events. And you can improve customer satisfaction by communicating appropriately before, during, and after storm events. Join us to learn how E Source can help customer experience and storm operations teams reap the benefits of storm outage prediction for operations and communications.
E Source data scientists are experts in predicting storm outages. Hear how they approach this major challenge for utilities and prepare your teams for the upcoming storm season.
This webinar covers:
- How predictive analytics can reduce outage durations by having the right crew in the right location to begin restoration quickly after a storm
- How to provide your utility’s leaders and customers with realistic restoration times in major storm events given outages and crews on the system
- How to justify why decisions are made during a storm using documentation and data
Speakers:
Kyle Decker, Director, Data Science, E Source
Melanie Wemple, Director, Data Science, E Source
Jesse Woods, Vice President of Strategic Accounts, Data Science, E Source
Questions about this event? Send us a message.