News & Events
Second PRIN UTMOST FDD project newsletter: Transferring hybrid fault detection and diagnosis strategies in HVAC Systems
A study developed within the PRIN 2022 MUR - UTMOST FDD project investigates how transfer learning techniques can support the deployment of hybrid fault detection and diagnosis strategies for HVAC systems when only limited operational data are available.
First PRIN UTMOST FDD project newsletter: Hybrid artificial intelligence for automated fault detection in HVAC systems
A recent study developed within the PRIN 2022 MUR - UTMOST FDD project proposes a hybrid fault detection and diagnosis framework for HVAC systems that combines machine learning and expert knowledge using Bayesian Networks. The approach demonstrates high diagnostic accuracy and strong potential for practical deployment in building energy management systems.
PRIN UTMOST FDD project - conference plan
Throughout the duration of the the PRIN 2022 MUR - UTMOST FDD project, the research units have actively contributed to the dissemination of the project results by presenting their work at national and international scientific conferences. Below it is possible to consult the updated conference plan of the project, together with periodic updates on the scientific results presented and disseminated by the research units.
Second Workshop in the framework of the project PRIN 2022 MUR - UTMOST FDD
On 17/06/2025 prof. Jin Wen will give a talk titled "Harnessing data and AI for Fault Detection and Diagnosis in Smart Buildings" at Politecnico di Torino within a workshop organized in the framework of the project PRIN 2022 MUR - UTMOST FDD - an aUToMated, Open, Scalable and Transparent Fault Detection and Diagnosis process for air-handling units based on a hybrid expert and artificial intelligence approach.
First Workshop in the framework of the project PRIN 2022 MUR - UTMOST FDD
On 23 April 2025, the first workshop of the PRIN 2022 MUR - UTMOST FDD project was held at the RIAS Laboratory of the University of Campania “Luigi Vanvitelli”. The event brought together researchers and doctoral students to present the objectives, methodologies and expected impacts of the project on hybrid fault detection and diagnosis strategies for air handling units.
Our Lab coordinator Alfonso Capozzoli at presentation of GBC position paper
On 26/11/2024, Capozzoli Alfonso joined in Milan the Conference to present the new GBC position paper on digitization of the construction sector in support of decarbonization goals.
EURAC Research and BAEDA Lab release the Python library BrickLLM
Energy Efficient Building group at EURAC Research and BAEDA Lab release the Python library brickllm, allowing the generation of semantic metadata models of the building using Brick ontology
Sabrina Savino wins the AIDDA 2024 award
Our Lab member Savino Sabrina was awarded by AIDDA PVA Section for her research on AI-based multi-agent systems for high dimensional control problems for energy management in buildings.
BAEDA Lab joins the Annex 96 community
BAEDA Lab is involved in the research activities promoted by Annex 96 community.
BAEDA Lab attends Annex 82 Working meeting in Copenhagen
From October 8th to 10th, a delegation from BAEDA Lab attended the working meeting of IEA EBC ANNEX 82 in Copenhagen.