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» Stochastic Model for Power Grid Dynamics
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AAAI
2006
13 years 7 months ago
Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
The Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent parame...
David Wingate, Satinder P. Singh
ANOR
2010
119views more  ANOR 2010»
13 years 6 months ago
Optimisation of maintenance scheduling strategies on the grid
Abstract-- The emerging paradigm of Grid Computing provides a powerful platform for the optimisation of complex computer models, such as those used to simulate real-world logistics...
Alex Shenfield, Peter J. Fleming, Visakan Kadirkam...
TC
2002
13 years 6 months ago
Dynamic Power Management for Nonstationary Service Requests
Dynamic Power Management (DPM) is a design methodology aiming at reducing power consumption of electronic systems by performing selective shutdown of idle system resources. The eff...
Eui-Young Chung, Luca Benini, Alessandro Bogliolo,...
EGC
2005
Springer
13 years 12 months ago
A Grid-Oriented Genetic Algorithm
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
Jose Herrera, Eduardo Huedo, Rubén S. Monte...
TODAES
2008
104views more  TODAES 2008»
13 years 6 months ago
Wavelet-based dynamic power management for nonstationary service requests
The goal of dynamic power management is to reduce power dissipation in system level by putting system components into different states. This paper proposes a wavelet based approac...
Ali Abbasian, Safar Hatami, Ali Afzali-Kusha, Mass...