News & Events

16 September 2022

Antonio Gallo, Marco Savino Piscitelli and Alfonso Capozzoli win the "Best student paper award" at the international conference SEB-22

Our Lab members  Gallo AntonioPiscitelli Marco Savino and  Capozzoli Alfonso were awarded by the board of the 14th International Conference on Sustainability in Energy and Buildings SEB-22 (14-16 September, Split, Croatia) for the paper "RECsim - Virtual testbed for control strategies implementation in Renewable Energy Communities"

31 July 2022

New MDPI Topic "Technologies and Applications of data-driven Anomaly Detection in Energy Systems"

Dr. Piscitelli Marco Savino, prof.  Capozzoli Alfonso, prof. Rosato Antonio and Dr.  Fan Cheng are serving as Editors for the new interdisciplinary Topic titled "Technologies and Applications of data-driven Anomaly Detection in Energy Systems" promoted by MDPI

29 June 2022

Alfonso Capozzoli wins a special mention in the framework of “Roberto Sanguineti” award

Alfonso Capozzoli, with his article published on AICARR journal “Le potenzialità dell’analisi dati per la gestione energetica degli edifici”, was awarded with a special mention  by AICARR (Italian association of air conditioning heating and refrigeration)

24 February 2022

Young scientist lecture at Energy vision seminar

Talk of our lab member  at the Energy Vision Seminar on the role of transfer learning in the energy and building sector

19 January 2022

Talk of our Lab coordinator Alfonso Capozzoli at Guidehouse insight webinar

On 19/01/2022   Capozzoli Alfonso gave a presentation titled "The penetration of AI in EMS" during the Guidehouse insight webinar: "The Growing Impact of EMS Solutions: The Future of EMS"

05 October 2021

Davide Coraci wins the IEEE Italy Section ABB 2021 Master Thesis Award

Our Lab member Davide Coraci was awarded by IEEE Italy Section for his master thesis on adaptive control strategies for enhancing energy efficiency and comfort in buildings

17 June 2021

Seminar of our Lab coordinator Alfonso Capozzoli at ANNEX 81 subtask C meeting

On 17/06/2021 our Lab coordinator  Capozzoli Alfonso gave a presentation titled "BAEDA Lab experience in FDD and ADD in Energy&Buildings" during the expert meeting of ANNEX 81 subtask C.2

15 June 2021

Energy and AI Special Issue “AI and Data Science-enabled Applications for Intelligent Building Energy Management” is open for submission!

From June 15th 2021 the special issue “AI and Data Science-enabled Applications for Intelligent Building Energy Management” is open for submission

Recent pubblications

Coraci, D., Brandi, S., Hong, T., Capozzoli, A. (2023). Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildingsApplied Energy

Gallo, A., Piscitelli, M. S., Fenili, L., Capozzoli, A. (2023). RECsim—Virtual Testbed for Control Strategies Implementation in Renewable Energy Communities. In International Conference on Sustainability in Energy and Buildings

Pinto, G., Messina, R., Li, H., Hong, T., Piscitelli, M. S., Capozzoli, A. (2022). Sharing is caring: An extensive analysis of parameter-based transfer learning for the prediction of building thermal dynamicsEnergy and Buildings

Rosato, A., Guarino, F., El Youssef, M., Capozzoli, A., Masullo, M., Maffei, L. (2022). Experimental assessment of ground-truth faults in a typical single-duct dual-fan air-handling unit under Mediterranean climatic conditions: Impact scenarios of sensors’ offset and fans’ failureEnergy and Buildings

Li, H., Pinto, G., Capozzoli, A., Hong, T. (2022). Building thermal dynamics modeling with deep learning exploiting large residential smart thermostat dataset. In Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation

Rosato, A., Guarino, F., El Youssef, M., Capozzoli, A., Masullo, M., Maffei, L. (2022). Faulty Operation of Coils’ and Humidifier Valves in a Typical Air-Handling Unit: Experimental Impact Assessment of Indoor Comfort and Patterns of Operating Parameters under Mediterranean Climatic ConditionsEnergies

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 timeseriesEnergy and Buildings

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 buildingsExpert Systems with Applications

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 architecturesApplied Energy. (open access article)

Brandi, S., Gallo, A., Capozzoli, A. (2022). A predictive and adaptive control strategy to optimize the management of integrated energy systems in buildingsEnergy Reports. (open access article)

Brandi, S., Fiorentini, M., Capozzoli, A. (2022). Comparison of online and offline deep reinforcement learning with model predictive control for thermal energy managementAutomation in Construction.

Pinto, G., Wang, Z., Roy, A., Hong, T., Capozzoli, A. (2022). Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectivesAdvances in Applied Energy. (open access article)

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 contextEnergy

13 April 2021

Lecture of our Lab member Silvio Brandi at University of Texas at Austin

On 13/04/2021 our Lab member Brandi Silvio gave a lecture titled "Free from model - A novel paradigm for the control of the built environment" in the course "Smart Buildings and Cities" chaired by Prof. Zoltan Nagy (University of Texas at Austin - Intelligent Environment Laboratory)