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The connectivity model of a power distribution network can easily become outdated due to system changes occurring in the field. Maintaining and sustaining an accurate connectivity model is a key challenge for distribution utilities worldwide. This work shows that voltage time series measurements collected from customer smart meters exhibit correlations that(More)
  • Rajendu Mitray, Prashanth L Ay, Shalabh Bhatnagary, Prasad H Ly, Rajendu Mitra
  • 2011
We study the problem of sleep-wake scheduling in a wireless sensor network for quickest intrusion detection. We develop a Q-learning based algorithm with function approximation to solve this problem. Our algorithm incorporates feature based representations and includes a novel feature selection scheme that balances the conflicting objectives of maximizing(More)
The connectivity model of a power distribution network can easily become outdated due to system changes. Maintaining and sustaining an accurate connectivity model is a key challenge for most distribution utilities today. This work presents novel analytics techniques that can infer the connectivity model from measurements already available from a(More)
—The connectivity model of a power distribution network can easily become outdated due to system changes occurring in the field. Maintaining and sustaining an accurate connectivity model is a key challenge for distribution utilities worldwide. This work focuses on inferring customer to phase connectivity using machine learning techniques. Using voltage time(More)
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