Automated system optimisation

• Real building implementation of a deep reinforcement learning controller to enhance energy efficiency and indoor temperature control
  Article
  

  Silvestri, Alberto; Coraci, Davide; Brandi, Silvio; Capozzoli, Alfonso; Borkowski, Esther; Köhler, Johannes; Wu, Duan; Zeilinger, Melanie N.; Schlueter, Arno
  APPLIED ENERGY
  Elsevier
  Vol.368 pp.19 ISSN:0306-2619 DOI:10.1016/j.apenergy.2024.123447

• An innovative heterogeneous transfer learning framework to enhance the scalability of deep reinforcement learning controllers in buildings with integrated energy systems
  Article
  

  Coraci, Davide; Brandi, Silvio; Hong, Tianzhen; Capozzoli, Alfonso
  BUILDING SIMULATION
  Springer
  pp.32 ISSN:1996-3599 DOI:10.1007/s12273-024-1109-6

• Building thermal dynamics modeling with deep transfer learning using a large residential smart thermostat dataset
  Article
  

  Li, H.; Pinto, G.; Piscitelli, M. S.; Capozzoli, A.; Hong, T.
  ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
  Elsevier
  Vol.130 pp.12 ISSN:0952-1976 DOI:10.1016/j.engappai.2023.107701

• Effective pre-training of a deep reinforcement learning agent by means of long short-term memory models for thermal energy management in buildings
  Article
  

  Coraci, D.; Brandi, S.; Capozzoli, A.
  ENERGY CONVERSION AND MANAGEMENT
  Elsevier Ltd
  Vol.291 pp.16 ISSN:0196-8904 DOI:10.1016/j.enconman.2023.117303

• Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings
  Article
  

  Coraci, Davide; Brandi, Silvio; Hong, Tianzhen; Capozzoli, Alfonso
  APPLIED ENERGY
  ELSEVIER SCI LTD
  Vol.333 pp.24 ISSN:0306-2619 DOI:10.1016/j.apenergy.2022.120598

• RECsim—Virtual Testbed for Control Strategies Implementation in Renewable Energy Communities
  Proceeding
  

  Gallo, A.; Piscitelli, M. S.; Fenili, L.; Capozzoli, A.
  In: Sustainability in energy and buildings 2022
  Springer Nature Singapore Pte Ltd.
  SEB 2022: Sustainability in energy and buildings 2022 (Split, Croatia) 14-16 September
  Vol.336 SIST pp.11 (pp.313-323) ISBN:9789811987687 DOI:10.1007/978-981-19-8769-4_30

• Building thermal dynamics modeling with deep learning exploiting large residential smart thermostat dataset
  Proceeding
  

  Li, H.; Pinto, G.; Capozzoli, A.; Hong, T.
  In: BuildSys '22: Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
  Association for Computing Machinery (STATI UNITI D'AMERICA)
  BuildSys '22: The 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (Boston (USA)) 9 - 10 Novembre, 2022
  pp.4 (pp.242-245) ISBN:9781450398909 DOI:10.1145/3563357.3564056

• Sharing is caring: An extensive analysis of parameter-based transfer learning for the prediction of building thermal dynamics
  Article
  

  Pinto, Giuseppe; Messina, Riccardo; Li, Han; Hong, Tianzhen; Piscitelli, Marco Savino; Capozzoli, Alfonso
  ENERGY AND BUILDINGS
  Elsevier
  Vol.276 pp.15 ISSN:0378-7788 DOI:10.1016/j.enbuild.2022.112530

• Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectives
  Article
  

  Pinto, G.; Wang, Z.; Roy, A.; Hong, T.; Capozzoli, A.
  ADVANCES IN APPLIED ENERGY
  Elsevier Ltd
  Vol.5 pp.23 ISSN:2666-7924 DOI:10.1016/j.adapen.2022.100084

• A predictive and adaptive control strategy to optimize the management of integrated energy systems in buildings
  Article
  

  Brandi, S.; Gallo, A.; Capozzoli, A.
  ENERGY REPORTS
  Elsevier Ltd
  Vol.8 pp.18 (pp.1550-1567) ISSN:2352-4847 DOI:10.1016/j.egyr.2021.12.058

• Comparison of online and offline deep reinforcement learning with model predictive control for thermal energy management
  Article
  

  Brandi, S.; Fiorentini, M.; Capozzoli, A.
  AUTOMATION IN CONSTRUCTION
  Elsevier B.V.
  Vol.135 pp.15 ISSN:0926-5805 DOI:10.1016/j.autcon.2022.104128

• Enhancing energy management in grid-interactive buildings: A comparison among cooperative and coordinated architectures
  Article
  

  Pinto, G.; Kathirgamanathan, A.; Mangina, E.; Finn, D. P.; Capozzoli, A.
  APPLIED ENERGY
  Elsevier Ltd
  Vol.310 pp.16 ISSN:0306-2619 DOI:10.1016/j.apenergy.2021.118497

• Energy Management of a Residential Heating System Through Deep Reinforcement Learning
  Proceeding
  

  Brandi, S.; Coraci, D.; Borello, D.; Capozzoli, A.
  SMART INNOVATION, SYSTEMS AND TECHNOLOGIES
  In: Sustainability in Energy and Buildings 2021
  Springer Science and Business Media Deutschland GmbH
  13th KES International Conference on Sustainability and Energy in Buildings, SEB 2021 2021
  Vol.263 pp.11 (pp.329-339) ISSN:2190-3018 ISBN:9789811662683 DOI:10.1007/978-981-16-6269-0_28

• Data-driven district energy management with surrogate models and deep reinforcement learning
  Article
  

  Pinto, G.; Deltetto, D.; Capozzoli, A.
  APPLIED ENERGY
  Elsevier Ltd
  Vol.304 pp.15 ISSN:0306-2619 DOI:10.1016/j.apenergy.2021.117642

• Exploring the potentialities of deep reinforcement learning for incentive-based demand response in a cluster of small commercial buildings
  Article
  

  Deltetto, D.; Coraci, D.; Pinto, G.; Piscitelli, M. S.; Capozzoli, A.
  ENERGIES
  MDPI AG
  Vol.14 pp.25 ISSN:1996-1073 DOI:10.3390/en14102933

• Coordinated energy management for a cluster of buildings through deep reinforcement learning
  Article
  

  Pinto, G.; Piscitelli, M. S.; Vazquez-Canteli, J. R.; Nagy, Z.; Capozzoli, A.
  ENERGY
  Elsevier Ltd
  Vol.229 pp.13 ISSN:0360-5442 DOI:10.1016/j.energy.2021.120725

• Online implementation of a soft actor-critic agent to enhance indoor temperature control and energy efficiency in buildings
  Article
  

  Coraci, D.; Brandi, S.; Piscitelli, M. S.; Capozzoli, A.
  ENERGIES
  MDPI AG
  Vol.14 pp.25 ISSN:1996-1073 DOI:10.3390/en14040997

• Deep reinforcement learning to optimise indoor temperature control and heating energy consumption in buildings
  Article
  

  Brandi, S.; Piscitelli, M. S.; Martellacci, M.; Capozzoli, A.
  ENERGY AND BUILDINGS
  Elsevier Ltd
  Vol.224 pp.19 ISSN:0378-7788 DOI:10.1016/j.enbuild.2020.110225

• Development and evaluation of a comfort-oriented control strategy for thermal management of mixed-mode ventilated buildings
  Article
  

  Fiorentini, Massimo; Serale, G.; Kokogiannakis, G.; Capozzoli, A.; Cooper, P.
  ENERGY AND BUILDINGS
  Elsevier Ltd
  Vol.202 pp.16 ISSN:0378-7788 DOI:10.1016/j.enbuild.2019.109347

• Formulation of a model predictive control algorithm to enhance the performance of a latent heat solar thermal system
  Article
  

  Serale, Gianluca; Fiorentini, Massimo; Capozzoli, Alfonso; Cooper, Paul; Perino, Marco
  ENERGY CONVERSION AND MANAGEMENT
  Elsevier Ltd
  Vol.173 pp.12 (pp.438-449) ISSN:0196-8904 DOI:10.1016/j.enconman.2018.07.099

• Model Predictive Control (MPC) for Enhancing Building and HVAC System Energy Efficiency: Problem Formulation, Applications and Opportunities
  Article
  

  Serale, Gianluca; Fiorentini, Massimo; Capozzoli, Alfonso; Bernardini, Daniele; Bemporad, Alberto
  ENERGIES
  MDPI
  Vol.11 pp.35 (pp.1-35) ISSN:1996-1073 DOI:10.3390/en11030631

• MANAGEMENT STRATEGIES FOR THE ENERGY SAVING OF PUBLIC BUILDINGS THROUGH A DECISION SUPPORT SYSTEM
  Article
  

  Capozzoli, Alfonso; Corrado, Vincenzo; Gorrino, Alice; Madrazo, Leandro; Piscitelli, MARCO SAVINO; Sicilia, Álvaro
  NEWDIST
  DIST, Politecnico e Università di Torino
  Vol.Special Issue pp.10 (pp.406-415) ISSN:2283-8791

• Model Predictive Control for Building Active Demand Response Systems
  Article
  

  Lauro, Fiorella; Moretti, Fabio; Capozzoli, Alfonso; Panzieri, Stefano
  ENERGY PROCEDIA
  Elsevier
  Vol.83 pp.10 (pp.494-503) ISSN:1876-6102 DOI:10.1016/j.egypro.2015.12.169

• The Overall Architecture of a Decision Support System for Public Buildings
  Article
  

  Capozzoli, Alfonso; Corno, Fulvio; Corrado, Vincenzo; Gorrino, Alice
  ENERGY PROCEDIA
  Elsevier
  Vol.78 pp.6 (pp.2196-2201) ISSN:1876-6102 DOI:10.1016/j.egypro.2015.11.318

Total: 24