2019
Cicirelli, F.; Guerrieri, A.; Mastroianni, C.; Palopoli, F.; Spezzano, G.; Vinci, A.
Comfort-aware Cognitive Buildings Leveraging Deep Reinforcement Learning Proceedings Article
In: 2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT), IEEE, 2019, ISBN: 9781728129235.
Abstract | Links | BibTeX | Tag: Cognitive Systems, Deep Reinforcement Learning, Energy Saving, Simulation, Smart Buildings
@inproceedings{Cicirelli2019,
title = {Comfort-aware Cognitive Buildings Leveraging Deep Reinforcement Learning},
author = {F. Cicirelli and A. Guerrieri and C. Mastroianni and F. Palopoli and G. Spezzano and A. Vinci},
doi = {10.1109/DS-RT47707.2019.8958661},
isbn = {9781728129235},
year = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
booktitle = {2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT)},
journal = {Proceedings - 2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2019},
publisher = {IEEE},
abstract = {This paper presents a novel approach for the management of buildings by leveraging cognitive technologies. The proposed approach exploits the Deep Reinforcement Learning paradigm to learn from both a physical and a simulated environment so as to optimize people comfort and energy consumption.},
keywords = {Cognitive Systems, Deep Reinforcement Learning, Energy Saving, Simulation, Smart Buildings},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper presents a novel approach for the management of buildings by leveraging cognitive technologies. The proposed approach exploits the Deep Reinforcement Learning paradigm to learn from both a physical and a simulated environment so as to optimize people comfort and energy consumption.