United Illuminating to implement storm damage prediction tool
Published: August 18, 2014

(New Haven Register) The United Illuminating Co. is implementing new technology developed by University of Connecticut environmental engineers that offers greater detail in predicting the damage a storm might do to the utility’s distribution network.

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UI adopts new system to predict storm damage
Published: August 18, 2014

(Easton Courier) The United Illuminating Company (UI) is adopting new technology developed by engineers at The University of Connecticut that can help predict storm damage in much greater detail than was previously possible. The Damage Prediction Modeling tool harnesses computers and highly detailed models of UI’s electric system in order to make earlier and more accurate […]

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UConn Tree Program Cuts Chances of Power Outages
Published: August 4, 2014

(UConn Today)  There are few places on earth that have as many people living among so much forest as does Connecticut, a distinction that becomes an issue for home and business owners when storms hit and falling tree limbs knock out power. To reduce storm-related instances of electrical outages, University of Connecticut (UConn) faculty members […]

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UConn program’s goal is managing forest growth near power lines
Published: July 30, 2014

(The Day) Connecticut’s miles of tree-lined roads are for many residents a favorite feature of the state’s landscape, and Thomas Worthley agrees these shady corridors are beautiful. But, he believes, a developed place like Connecticut shouldn’t continue to coexist with so much forest without managing it wisely. “The untended forest tends to grow in very densely, […]

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Damage Prediction Model Improves Storm Response
Published: May 8, 2014

(T&D World) In 2011, the Connecticut Light and Power Co. (CL&P), a Northeast Utilities company, was ravaged by the two largest storms in the company’s nearly 100-year history. Tropical Storm Irene in August and the October snowstorm occurred less than 10 weeks apart and caused a combined 1.5 million customer outages in Connecticut. The incidents […]

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Forecasting Where Wind, Precipitation Will Disrupt The Electrical Grid
Published: May 3, 2014

(Hartford Courant) A new weather model is being used to show where a severe storm is mostly likely to damage the electrical grid in Connecticut. The system is a collaboration between the University of Connecticut and Connecticut Light & Power. A team of UConn environmental engineers overlaid weather forecasting data of wind and precipitation with CL&P data […]

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UConn engineers help CL&P predict storm damage
Published: May 2, 2014

(Journal Inquirer)  University of Connecticut environmental engineers have provided Connecticut Light & Power with new damage prediction software that will give CL&P customized information in advance of a storm on its expected strength and location and extent of damage. Although CL&P always tracks impending storms closely, it has been difficult to predict where the most […]

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CL&P, UConn Partner to Help Anticipate Storm Damage
Published: April 30, 2014

(UConn Today)  When Mother Nature brings destructive weather to Connecticut, it can cause significant damage to the state and its electric system. While Connecticut Light & Power tracks impending storms closely, it is difficult to predict where severe weather will hit the hardest and cause the most damage. New damage prediction modeling technology developed by […]

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CL&P and UConn Team Up
Published: April 29, 2014

(NBC Connecticut)  CL&P and UConn have teamed up to come up with a new tool to predict where power outages could occur. “If you told us at the beginning it was going to be eleven days without power, I think we would have left town,” said Simsbury resident Peter Tedone. Peter and his wife Lydia […]

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UConn modeling helps CL&P predict storm damage
Published: April 29, 2014

(Hartford Business Journal)  Who says the weatherman is always wrong? UConn environmental engineers have developed a computer model that Connecticut Light & Power is using to predict where it will likely need to deploy maintenance workers and resources in a storm, the two revealed. CL&P used the tool to predict the location of Connecticut trouble […]

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