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DATE
2008
IEEE
136views Hardware» more  DATE 2008»
14 years 1 months ago
A Framework of Stochastic Power Management Using Hidden Markov Model
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
Ying Tan, Qinru Qiu
DAC
2000
ACM
14 years 8 months ago
Dynamic power management of complex systems using generalized stochastic Petri nets
In this paper, we introduce a new technique for modeling and solving the dynamic power management (DPM) problem for systems with complex behavioral characteristics such as concurr...
Qinru Qiu, Qing Wu, Massoud Pedram
HICSS
2007
IEEE
125views Biometrics» more  HICSS 2007»
14 years 1 months ago
Stochastic Model for Power Grid Dynamics
We introduce a stochastic model that describes the quasistatic dynamics of an electric transmission network under perturbations introduced by random load fluctuations, random rem...
Marian Anghel, Kenneth A. Werley, Adilson E. Motte...
CPAIOR
2007
Springer
14 years 1 months ago
Replenishment Planning for Stochastic Inventory Systems with Shortage Cost
One of the most important policies adopted in inventory control is the (R,S) policy (also known as the “replenishment cycle” policy). Under the non-stationary demand assumption...
Roberto Rossi, Armagan Tarim, Brahim Hnich, Steven...
MP
2008
100views more  MP 2008»
13 years 7 months ago
Selected topics in robust convex optimization
Robust Optimization is a rapidly developing methodology for handling optimization problems affected by non-stochastic "uncertain-butbounded" data perturbations. In this p...
Aharon Ben-Tal, Arkadi Nemirovski