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TR
2010
126views Hardware» more  TR 2010»
12 years 11 months ago
Approximating a Loading-Dependent Cascading Failure Model With a Branching Process
Abstract--We quantify the closeness of the approximation between two high-level probabilistic models of cascading failure. In one model called CASCADE, failing components successiv...
Janghoon Kim, Ian Dobson
HICSS
2006
IEEE
118views Biometrics» more  HICSS 2006»
13 years 10 months ago
An Estimator of Propagation of Cascading Failure
— We suggest a statistical estimator to measure the extent to which failures propagate in cascading failures such as large blackouts. The estimator is tested on a saturating bran...
Ian Dobson, Kevin R. Wierzbicki, Benjamin A. Carre...
HICSS
2005
IEEE
147views Biometrics» more  HICSS 2005»
13 years 10 months ago
Branching Process Models for the Exponentially Increasing Portions of Cascading Failure Blackouts
We introduce branching process models in discrete and continuous time for the exponentially increasing phase of cascading blackouts. Cumulative line trips from real blackout data ...
Ian Dobson, Benjamin A. Carreras, David E. Newman
COMPENG
2010
259views Algorithms» more  COMPENG 2010»
13 years 8 months ago
Propagation of Load Shed in Cascading Line Outages Simulated by OPA
We estimate with a branching process model the propagation of load shed and the probability distribution of load shed in simulated blackouts of an electric power system. The avera...
Janghoon Kim, Ian Dobson
JMLR
2008
159views more  JMLR 2008»
13 years 4 months ago
Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs), choosing sensor locations is a fundamental task. There are several common strategies to ...
Andreas Krause, Ajit Paul Singh, Carlos Guestrin