- May 10, 2016
- Schneider Electric
- Case Study
UConn‚Äôs analytics model will be integrated into Schneider‚Äôs WeatherSentry Online (WSO) platform, enabling utilities to better understand the expected impacts of storms on their utility infrastructure and to make smarter decisions in preparing for storms.
May 10, 2016 – Schneider Electric, a specialist in energy management, announced an exclusive partnership with the University of Connecticut (UConn) and Eversource Energy to combine the companies’ storm outage prediction technology to create one, more precise and accurate model. UConn’s analytics model will be integrated into Schneider’s WeatherSentry Online (WSO) platform, enabling utilities to better understand the expected impacts of storms on their utility infrastructure and to make smarter decisions in preparing for storms to minimize restoration time, cost and impacts to customer.
The project will be housed at the Eversource Energy Center on the UConn campus. The Center is a partnership between the university and Eversource to develop state-of-the-art approaches for delivering reliable power and responding to severe weather and security events. Becoming a member of the partnership, Schneider Electric will apply its weather technology, weather data and expertise in developing scalable solutions for utilities. With this new project, Schneider and Eversource will expand upon their long-term relationship in supporting storm preparation efforts by combining UConn’s Outage Prediction Model (OPM) with Schneider’s WSO platform and other weather services.
In addition to providing new, marketable technology, the announced partnership provides new opportunities for UConn students and researchers interested in the meteorological sciences and utilities management.
About Schneider Electric
Schneider Electric is a specialist in energy management and automation. From the simplest of switches to complex operational systems, Schneider technology, software and services improve the way customers manage and automate their operations.
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