News & Events

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)

25 February 2021

Special issue "AI and Data Science-enabled Applications for Intelligent Building Energy Management"

Our Lab members Prof. Capozzoli Alfonso and Dr. Piscitelli Marco Savino together with Dr. Fan Cheng, from Shenzhen University, are the guest editors of the Special issue "AI and Data Science-enabled Applications for Intelligent Building Energy Management" on the Elsevier journal Energy and AI.

15-17 September 2021

Invited session SEB 21 - Data Analytics Technologies in Building Energy Applications

Our Lab coordinator Prof. Capozzoli Alfonso, together with Prof. Finn Donal from University College Dublin, will chair the invited session "IS14: Data Analytics Technologies in Building Energy Applications" at the international conference SEB-21. 

30 November 2021

Special Issue "Bottom-Up Urban Building Energy Modelling"

Our Lab coordinator Prof. Capozzoli Alfonso and Prof. Causone Francesco from Politecnico di Milano are the guest editors of the Special Issue "Bottom-Up Urban Building Energy Modelling" of the MDPI journal Energies.

Contribute to create a large library of building-related data on kaggle platform!

One of the main objective of Annex 81 community is to promote the use of open data and platforms in the building sector. Recent forums have recommended the use of ‘Open Data’ as way to address data-access barriers and enabling energy efficiency and innovation in buildings. Click here for more details about the initiative promoted by BUDS Lab.

16 December 2020

Giuseppe Pinto wins the best digital poster

The Energetics PhD board awarded for providing the best digital poster during the "PhD days" 2020

BAEDA Lab joins the Annex 81 community

BAEDA Lab is involved in the research activities promoted by Annex 81 community.

15 -17 September 2021

Join the international conference SEB21

International conference on Sustainability in Energy and Buildings SEB-21.

25-27 August 2021

Join the international conference IBPC 2021

8th International Building Physics Conference IBPC 2021.