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» Ranking Electrical Feeders of the New York Power Grid
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ICMLA
2009
13 years 2 months ago
Ranking Electrical Feeders of the New York Power Grid
components of a system by susceptibility to failure. In this extended abstract, we present an ongoing project to rank the underground primary feeders of Consolidated Edison Company...
Philip Gross, Ansaf Salleb-Aouissi, Haimonti Dutta...
ICMLA
2009
13 years 2 months ago
Alive on Back-feed Culprit Identification via Machine Learning
We describe an application of machine learning techniques toward the problem of predicting which network protector switch is the cause of an Alive on Back-Feed (ABF) event in the ...
Bert C. Huang, Ansaf Salleb-Aouissi, Philip Gross
AAAI
2006
13 years 6 months ago
Predicting Electricity Distribution Feeder Failures Using Machine Learning Susceptibility Analysis
A Machine Learning (ML) System known as ROAMS (Ranker for Open-Auto Maintenance Scheduling) was developed to create failure-susceptibility rankings for almost one thousand 13.8kV-...
Philip Gross, Albert Boulanger, Marta Arias, David...
CDC
2010
IEEE
172views Control Systems» more  CDC 2010»
12 years 8 months ago
Electrical centrality measures for electric power grid vulnerability analysis
— This paper investigates measures of centrality that are applicable to power grids. Centrality measures are used in network science to rank the relative importance of nodes and ...
Zhifang Wang, Anna Scaglione, Robert J. Thomas