This paper presents a novel approach for the management of buildings by leveraging cognitive technologies. The proposed approach exploits the Deep Reinforcement Learningparadigm to learn from both a physical and a simulated environment so as to optimize people comfort and energy consumption.

Comfort-aware Cognitive Buildings LeveragingDeep Reinforcement Learning

Franco Cicirelli;Antonio Guerrieri;Carlo Mastroianni;Fabio Palopoli;Giandomenico Spezzano;Andrea Vinci
2020

Abstract

This paper presents a novel approach for the management of buildings by leveraging cognitive technologies. The proposed approach exploits the Deep Reinforcement Learningparadigm to learn from both a physical and a simulated environment so as to optimize people comfort and energy consumption.
2020
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Inglese
2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT)
Sì, ma tipo non specificato
07/10/2019
Cosenza, Italy
Deep Reinforcement Learning
Smart Buildings
Energy Saving
Simulation
Cognitive Systems
6
none
Cicirelli, Franco; Guerrieri, Antonio; Mastroianni, Carlo; Palopoli, Fabio; Spezzano, Giandomenico; Vinci, Andrea
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/366538
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