Unlocking Demand Response at the Building Level: a Distributed Energy Optimisation Approach
Résumé
In this paper, we propose a distributed optimisation approach based on Alternating Direction Method of Multipliers to optimise building energy consumption, reduce energy bills, and adopt demand response (DR) schemes at the building level by exploiting building flexibility. Different optimisation models are proposed to represent the types of flexibility offered by building devices and to incorporate DR incentives. The evaluations of the approach show significant energy cost saving and prove the feasibility of DR adoption.
Mots clés
Building energy optimization
Distributed optimisation
Demand response
artificial intelligence
machine learning
distributed learning
multi-agent system
electricity optimisation
smart grid
Alternating Direction Method of Multipliers
buildings
energy consumption
building flexibility
controllable appliance
demand response incentive
energy cost saving
modelling
simulation
Origine | Fichiers produits par l'(les) auteur(s) |
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