Corso di laurea magistrale

• Gestione energetica e automazione negli edifici. A.A. 2021/22, INGEGNERIA ENERGETICA E NUCLEARE. Collaboratore del corso
• Gestione energetica e automazione negli edifici. A.A. 2022/23, INGEGNERIA ENERGETICA E NUCLEARE. Collaboratore del corso

Corso di laurea di 1° livello

• Fisica dell'edificio e climatizzazione. A.A. 2023/24, INGEGNERIA ENERGETICA. Collaboratore del corso

• Chiosa, Roberto (2025)
  Deploy and scale Artificial Intelligence based decision support systems for enhancing energy management in buildings. relatore: CAPOZZOLI, ALFONSO; , 37. XXXVII Ciclo, P.: 201
  Doctoral Thesis
• Giudice, Rocco; Piscitelli, Marco Savino; Chiosa, Roberto; Capozzoli, Alfonso (2025)
  A Data-Driven Process for Optimal Incentive Sharing in Collective Self-Consumption Groups of Residential Users. In: 9th International Building Physics Conference, IBPC 2024, Toronto, Canada, 25 - 27 July, 2024, pp. 19-24. ISSN 2366-2557. ISBN: 9789819783083
  Contributo in Atti di Convegno (Proceeding)
• Piscitelli, Marco Savino; Ye, Qichao; Chiosa, Roberto; Capozzoli, Alfonso (2025)
  Spatio-Temporal Characterization and Short-term Prediction of Indoor Temperature in Multi-zone Buildings. In: 9th International Building Physics Conference, IBPC 2024, Toronto, Canada, 25 - 27 July, 2024, pp. 154-160. ISSN 2366-2557. ISBN: 9789819783168
  Contributo in Atti di Convegno (Proceeding)
• Chiosa, Roberto; Piscitelli, Marco Savino; Pritoni, Marco; Capozzoli, Alfonso (2024)
  A portable application framework for energy management and information systems (EMIS) solutions using Brick semantic schema. In: ENERGY AND BUILDINGS, vol. 323. ISSN 0378-7788
  Contributo su Rivista
• Garcia Navarro, Alberto Manuel; Rocca, Vera; Capozzoli, Alfonso; Chiosa, Roberto; Verga, ... (2024)
  Investigation of ground movements induced by underground gas storages via unsupervised ML methodology applied to InSAR data. In: GAS SCIENCE AND ENGINEERING, vol. 125, pp. 1-20. ISSN 2949-9089
  Contributo su Rivista
• Fan, C.; Lin, Y.; Piscitelli, M. S.; Chiosa, R.; Wang, H.; Capozzoli, A.; Ma, Y. (2023)
  Leveraging graph convolutional networks for semi-supervised fault diagnosis of HVAC systems in data-scarce contexts. In: BUILDING SIMULATION. ISSN 1996-3599
  Contributo su Rivista
• Chen, Z.; O'Neill, Z.; Wen, J.; Pradhan, O.; Yang, T.; Lu, X.; Lin, G.; Miyata, S.; Lee, ... (2023)
  A review of data-driven fault detection and diagnostics for building HVAC systems. In: APPLIED ENERGY, vol. 339. ISSN 0306-2619
  Contributo su Rivista
• 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
  Contributo su Rivista
• Chiosa, R.; Piscitelli, M. S.; Fan, C.; Capozzoli, A. (2022)
  Towards a self-tuned data analytics-based process for an automatic context-aware detection and diagnosis of anomalies in building energy consumption timeseries. In: ENERGY AND BUILDINGS, vol. 270. ISSN 0378-7788
  Contributo su Rivista
• 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
  Contributo su Rivista

• KLUSTER MAPPING. Software nazionale
  Inventori: Alfonso Capozzoli Roberto Chiosa Alberto Manuel Garcia Navarro Vera Rocca