Hybrid approach of optimization for energy management in buildings
type: Dataset
description: This PhD focuses on the global energy management based on energetical flux models ofbuildings. The objective of the energy management system is to help the inhabitants to manage theirbuilding, by scheduling the consumption/production of the different appliances, taking into accountenergy costs, availability et inhabitants’ preferences. The PhD objective is to propose a resolution approach with several solvers inspired by the multi agent systems.A multi-phasis service representing several phasis has been developped. Each phasis is defined by its own consumption level. This type of service presents a better precision than singlephasis approaches to model some appliances. A new optimization approach has been developped. Itcombines different solvers embedded into software agents. The results is an hybrid approach forthe optimization based on the multi-agent system, using MILP algorithms and meta-heuristics.
identifier: NNT: 2013GRENT002
issued: 2026-05-07T07:31:41.586658
language: fr
modified: 2026-05-07T07:31:41.586662
contact point: Organization
  fn: CCSD
keyword: ambient-intelligence
keyword: energy-management
keyword: gestion-des-flux-energetiques
keyword: infoeu-reposemanticsdoctoralthesis
keyword: infoinfo-aucomputer-science-csautomatic-control-engineering
keyword: infoinfo-dscomputer-science-csdata-structures-and-algorithms-csds
keyword: infoinfo-macomputer-science-csmultiagent-systems-csma
keyword: intelligence-ambiante-dans-lhabitat
keyword: linear-programming
keyword: mathmath-ocmathematics-mathoptimization-and-control-mathoc
keyword: multi-agents
keyword: programmation-lineaire
keyword: theses
landing page: https://theses.hal.science/tel-00934755

Hybrid approach of optimization for energy management in buildings
type: Distribution
format: HTML
issued: 2026-05-07T07:31:41.595514
modified: 2026-05-07T07:31:41.568084
access URL: https://theses.hal.science/tel-00934755

test_moissonnage_selune
type: Agent