Reliable electric power is an essential service and tenet of a thriving community and a vibrant economy. Providing reliable information on storm restoration progress, especially during summer's peak demand and severe winter weather, enables utility customers and communities to be well prepared alongside their utility.
The combination of a utility’s tools to assess storm damage to the electric distribution system and deploy resources to expedite the restoration process enables UConn to develop models forecasting the length of time required to restore power following a range of storm impacts.
With outage prediction modeling, we are enhancing utility readiness and response, and keeping our communities energized.
The primary scope of the proposed project is to develop tools to improve the electric restoration process for residential and business customers, and to provide actionable information to utility emergency response management, community and State government officials, residential customers and businesses.
We have begun work on calculating a gridded “tolerance” parameter from socioeconomic data sources that reflects the resilience of local communities to adverse weather events.
We are analyzing historic outage data to develop models to predict restoration times for future storms.
|Emmanouil Anagnostou, Professor of Civil and Environmental Engineering
University of Connecticut.
|Thomas Layton, Team Leader – Emergency Response
|Michael Zappone, Manager – Resource Acquisition
|Feifei Yang, PhD Candidate, Civil and Environmental Engineering, University of Connecticut|
|Dave Wanik, Assistant Adjunct Professor of Civil and Environmental Engineering
University of Connecticut. Senior Modeler at Hartford Steam Boiler Inspection and Insurance Company. Research Fellow at Mississippi State University Social Science Research Center
|Peter Watson, PhD Candidate, Civil and Environmental Engineering, University of Connecticut|