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Professore Associato (L.240)

Componente Commissione Strategie per le Tecnologie dell'Informazione
CCSM (Scuola di Master e Formazione Permanente)

+39 0110904413 / 4413 (DENERG)

Pagina web personale

Pubblicazioni più recenti

Galli, A.; Piscitelli, M. S.; Moscato, V.; Capozzoli, A. (2022)
Bridging the gap between complexity and interpretability of a data analytics-based process for benchmarking energy performance of buildings. In: EXPERT SYSTEMS WITH APPLICATIONS, vol. 206. ISSN 0957-4174
Pinto, G.; Wang, Z.; Roy, A.; Hong, T.; Capozzoli, A. (2022)
Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectives. In: ADVANCES IN APPLIED ENERGY, vol. 5. ISSN 2666-7924
Brandi, S.; Gallo, A.; Capozzoli, A. (2022)
A predictive and adaptive control strategy to optimize the management of integrated energy systems in buildings. In: ENERGY REPORTS, vol. 8, pp. 1550-1567. ISSN 2352-4847
Brandi, S.; Fiorentini, M.; Capozzoli, A. (2022)
Comparison of online and offline deep reinforcement learning with model predictive control for thermal energy management. In: AUTOMATION IN CONSTRUCTION, vol. 135. ISSN 0926-5805
Pinto, G.; Kathirgamanathan, A.; Mangina, E.; Finn, D. P.; Capozzoli, A. (2022)
Enhancing energy management in grid-interactive buildings: A comparison among cooperative and coordinated architectures. In: APPLIED ENERGY, vol. 310. ISSN 0306-2619
Fan, C.; Lei, Y.; Sun, Y.; Piscitelli, M. S.; Chiosa, R.; Capozzoli, A. (2022)
Data-centric or algorithm-centric: Exploiting the performance of transfer learning for improving building energy predictions in data-scarce context. In: ENERGY, vol. 240. ISSN 0360-5442
Brandi, S.; Coraci, D.; Borello, D.; Capozzoli, A. (2022)
Energy Management of a Residential Heating System Through Deep Reinforcement Learning. In: 13th KES International Conference on Sustainability and Energy in Buildings, SEB 2021, 2021, pp. 329-339. ISSN 2190-3018. ISBN: 978-981-16-6268-3
Pinto, G.; Deltetto, D.; Capozzoli, A. (2021)
Data-driven district energy management with surrogate models and deep reinforcement learning. In: APPLIED ENERGY, vol. 304. ISSN 0306-2619
Lerede, Daniele; Pinto, Giuseppe; Saccone, Mirko; Bustreo, Chiara; Capozzoli, Alfonso; ... (2021)
Application of a Stochastic Multicriteria Acceptability Analysis to support decision-making within a macro-scale energy model: case study of the electrification of the road European transport sector. In: ENERGY, vol. 236. ISSN 0360-5442
Deltetto, D.; Coraci, D.; Pinto, G.; Piscitelli, M. S.; Capozzoli, A. (2021)
Exploring the potentialities of deep reinforcement learning for incentive-based demand response in a cluster of small commercial buildings. In: ENERGIES, vol. 14. ISSN 1996-1073
Pinto, G.; Piscitelli, M. S.; Vazquez-Canteli, J. R.; Nagy, Z.; Capozzoli, A. (2021)
Coordinated energy management for a cluster of buildings through deep reinforcement learning. In: ENERGY, vol. 229. ISSN 0360-5442
Isaia, F.; Fiorentini, M.; Serra, V.; Capozzoli, A. (2021)
Enhancing energy efficiency and comfort in buildings through model predictive control for dynamic façades with electrochromic glazing. In: JOURNAL OF BUILDING ENGINEERING, vol. 43. ISSN 2352-7102
Coraci, D.; Brandi, S.; Piscitelli, M. S.; Capozzoli, A. (2021)
Online implementation of a soft actor-critic agent to enhance indoor temperature control and energy efficiency in buildings. In: ENERGIES, vol. 14. ISSN 1996-1073
Chiosa, R.; Piscitelli, M. S.; Capozzoli, A. (2021)
A data analytics-based energy information system (EIS) tool to perform meter-level anomaly detection and diagnosis in buildings. In: ENERGIES, vol. 14. ISSN 1996-1073
Cerquitelli, T.; Corso, E. D.; Proto, S.; Bethaz, P.; Mazzarelli, D.; Capozzoli, A.; ... (2020)
A data-driven energy platform: from energy performance certificates to human-readable knowledge through dynamic high-resolution geospatial maps. In: ELECTRONICS, vol. 9, pp. 1-26. ISSN 2079-9292
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