Improving emergency storm planning using machine learning

Improving emergency storm planning using machine learning

Extreme weather events pose significant challenges to power utilities as they require very rapid decision making regarding expected storm impact and necessary storm response efforts. In recent years National Grid has responded to a large number of events in its Massachusetts service territory includ...

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Bibliographic Details
Main Authors: Angalakudati, Mallikarjun, Calzada, Jorge, Gonynor, Jonathan, Raad, Nicolas, Schein, Jeremy, Warren, Cheryl, Williams, John, Papush, Anna Michelle, Monsch, Matthieu Frederic, Farias, Vivek F., Perakis, Georgia, Whipple, Sean David
Other Authors: Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2018
Online Access:http://hdl.handle.net/1721.1/116226
https://orcid.org/0000-0001-7400-9209
https://orcid.org/0000-0002-5856-9246
https://orcid.org/0000-0002-0888-9030

Internet

http://hdl.handle.net/1721.1/116226
https://orcid.org/0000-0001-7400-9209
https://orcid.org/0000-0002-5856-9246
https://orcid.org/0000-0002-0888-9030

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