Archivio Istituzionale della RicercaRAZZANO, GIUSEPPE
RAZZANO, GIUSEPPE
Dipartimento Energia
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An interpretable data analytics-based energy benchmarking process for supporting retrofit decisions in large residential building stocks
2025 Piscitelli, Marco Savino; Razzano, Giuseppe; Buscemi, Giacomo; Capozzoli, Alfonso
Rule extraction from deep reinforcement learning controller and comparative analysis with ASHRAE control sequences for the optimal management of Heating, Ventilation, and Air Conditioning (HVAC) systems in multizone buildings
2025 Razzano, Giuseppe; Brandi, Silvio; Piscitelli, Marco Savino; Capozzoli, Alfonso
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| An interpretable data analytics-based energy benchmarking process for supporting retrofit decisions in large residential building stocks / Piscitelli, Marco Savino; Razzano, Giuseppe; Buscemi, Giacomo; Capozzoli, Alfonso. - In: ENERGY AND BUILDINGS. - ISSN 0378-7788. - ELETTRONICO. - 328:(2025). [10.1016/j.enbuild.2024.115115] | 1-gen-2025 | Piscitelli, Marco SavinoRazzano, GiuseppeBuscemi, GiacomoCapozzoli, Alfonso | - |
| Rule extraction from deep reinforcement learning controller and comparative analysis with ASHRAE control sequences for the optimal management of Heating, Ventilation, and Air Conditioning (HVAC) systems in multizone buildings / Razzano, Giuseppe; Brandi, Silvio; Piscitelli, Marco Savino; Capozzoli, Alfonso. - In: APPLIED ENERGY. - ISSN 0306-2619. - ELETTRONICO. - 381:(2025). [10.1016/j.apenergy.2024.125046] | 1-gen-2025 | Razzano, GiuseppeBrandi, SilvioPiscitelli, Marco SavinoCapozzoli, Alfonso | - |