Chapter 7The Stochastic Dynamic Programming method often used to solve some stochastic optimization problems is only usable in low dimension, being plagued by the curse of dimensionality. In this article, we explain how to postpone this limit by using High Performance Computing: parallel and distributed algorithms design, optimized implementations and usage of large scale distributed architectures (PC clusters and Blue Gene/P)
Improving energy efficiency and grid responsiveness of buildings requires sensing, computing and com...
The optimization of decentralized energy systems is an important practical problem that can be model...
This thesis presents a parallel algorithm for non-convex large-scale stochastic optimization problem...
Chapter 7The Stochastic Dynamic Programming method often used to solve some stochastic optimization ...
International audienceManagement of electricity production to control cost while satisfying demand, ...
International audienceManagement of French electricity production to control cost while satisfying d...
International audienceAsset management for the electricity industry leads to very large stochastic o...
The optimization of decentralized energy systems is an important practical problem that can be model...
International audienceThis paper introduces the distribution of a stochastic control algorithm which...
International audienceThis paper introduces a research project that aims to speed-up and size-up som...
Stochastic programming is a subfield of mathematical programming concerned with optimization problem...
AbstractStochastic dynamic programs suffer from the so called curse of dimensionality whereby the nu...
We present a distributed computing architecture for smart grid management, composed of two applicati...
We consider a microgrid where different prosumers exchange energy altogether by the edges of a given...
Improving energy efficiency and grid responsiveness of buildings requires sensing, computing and com...
The optimization of decentralized energy systems is an important practical problem that can be model...
This thesis presents a parallel algorithm for non-convex large-scale stochastic optimization problem...
Chapter 7The Stochastic Dynamic Programming method often used to solve some stochastic optimization ...
International audienceManagement of electricity production to control cost while satisfying demand, ...
International audienceManagement of French electricity production to control cost while satisfying d...
International audienceAsset management for the electricity industry leads to very large stochastic o...
The optimization of decentralized energy systems is an important practical problem that can be model...
International audienceThis paper introduces the distribution of a stochastic control algorithm which...
International audienceThis paper introduces a research project that aims to speed-up and size-up som...
Stochastic programming is a subfield of mathematical programming concerned with optimization problem...
AbstractStochastic dynamic programs suffer from the so called curse of dimensionality whereby the nu...
We present a distributed computing architecture for smart grid management, composed of two applicati...
We consider a microgrid where different prosumers exchange energy altogether by the edges of a given...
Improving energy efficiency and grid responsiveness of buildings requires sensing, computing and com...
The optimization of decentralized energy systems is an important practical problem that can be model...
This thesis presents a parallel algorithm for non-convex large-scale stochastic optimization problem...