Angelo Zerega

Dr. Angelo Zerega


Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2025 in Systems
Verified
Journal Article
Open access
PDF file
NMNicola Magaletti
Nicola Magaletti
CTChiara Tognon
Chiara Tognon
MMMauro Di Molfetta
Mauro Di Molfetta
AZAngelo Zerega
Angelo Zerega
VNValeria Nortarnicola
Valeria Nortarnicola
ANGELO LEOGRANDEANGELO LEOGRANDE
ANGELO LEOGRANDE
This article proposes a complex solution to improve sustainable intelligent building management based on the principles of Environmental, Social, and Governance (ESG) factors. The ESG KPI Framework–Metaverse-Enabled Operations incorporates the latest digital twin solutions, IoT sensor systems, and metaverse platforms to deliver real-time management and optimization of ESG factors. A hybrid solution strategy has been used in this framework, focusing on auto-acquisition of information and multiple validations at different levels through correlation analysis, Principal Component Analysis (PCA), Ordinary Least Squares (OLS) regression, and Machine Learning. The designed prototype links all the solutions together in a multi-level dashboard to represent key performance factors such as carbon footprint, energy consumption, renewable energy use, and occupant wellness. Experiments conducted validate the effectiveness of the proposed solution in improving prediction efficiency and user interaction experience during metaverse simulations.

3 December 2025 in Sustainability
Verified
Journal Article
Open access
PDF file
CSClaudia Spilotro
Claudia Spilotro
Giustina SecundoGiustina Secundo
Giustina Secundo
NMNicola Magaletti
Nicola Magaletti
EZEttore Zini
Ettore Zini
CTChiara Tognon
Chiara Tognon
AZAngelo Zerega
Angelo Zerega
The growing importance of Environmental, Social, and Governance (ESG) performance across sectors has accelerated the adoption of digital technologies for the continuous monitoring, analysis, and optimization of key sustainability indicators. This study investigates the role of data-driven infrastructures—spanning hardware components (such as Smart Meters, IoT sensors, and Power Quality Analyzers) and software solutions (including Energy Management Systems, Business Intelligence, Digital Twins, and Artificial Intelligence)—in enabling more transparent, adaptive, and evidence-based ESG governance. Despite this trend, the literature remains fragmented, often focusing on isolated technologies and lacking a holistic framework. This study employs a critical literature review to address this gap, guided by the research question: How does the integration of advanced digital technologies contribute to the effective monitoring and optimization of ESG Key Performance Indicators (KPIs)? This approach allows for a comprehensive understanding of the strategic, technological, and operational dimensions involved in scaling such solutions. Findings identify two major application domains—Smart Buildings and Smart Factories—where the integration of digital tools enables a critical shift from static reporting to dynamic, real-time governance, demonstrating tangible benefits for sustainability and resilience. The study concludes by presenting an integrated framework and outlining key implications for practice and theory.

20 October 2025 in Research Square
Verified
Preprint
Open access
PDF file
NMNicola Magaletti
Nicola Magaletti
CTChiara Tognon
Chiara Tognon
MMMauro Di Molfetta
Mauro Di Molfetta
AZAngelo Zerega
Angelo Zerega
VNValeria Nortarnicola
Valeria Nortarnicola
ANGELO LEOGRANDEANGELO LEOGRANDE
ANGELO LEOGRANDE
A new software platform is presented in this article to oversee and manage urban and industrial smart systems by employing digital twin technologies and immersive, interactive metaverse settings, thereby achieving environmentally sustainable urban infrastructure. The system proposed is prepared to track, simulate, and optimize building performance using predictive analytics and interactive dashboards, and thus serves as a modular, interoperable solution. By defining a multi-residential site management case study, a working prototype is developed and implemented here using simulated and realistic datasets, thereby designed for real-time calculation and visualization of key performance indicators (KPIs) across various areas, including energy efficiency, preventive maintenance, user experience through design, and economic performance. The choice of KPIs, such as energy usage intensity, return on investment, and user satisfaction, can benefit from this technology setup and yield improvements through enhanced operational efficiency, clearer decision-making, and long-term cost-effectiveness. Although such obstacles exist, empirical testing with real data may reveal that integration with hardware, interoperability with existing setups, and economic costing are feasible for small to medium-sized players. With evaluation performed using simulated data, the platform suggests a prospective setup ready to be tested through pilot testing with real-world deployment. In situating the Smart Infrastructure Metaverse here, as a transformation setup of digital governance within a built and developed framework with technological innovation coupled with sustainability and with inclusivity to all the players/stakeholders, the cities embarked here through ever-increasing digital ecosystems with advantages of having such works through an emerging discussion of how immersive technology informs here of a next-generation potential of smart, sustainable, and participatory urban living.

16 October 2025 in HAL
Verified
Preprint
Open access
PDF file
NMNicola Magaletti
Nicola Magaletti
LELum Enterprise
Lum Enterprise
CTChiara Tognon
Chiara Tognon
MMMauro Molfetta
Mauro Molfetta
AZAngelo Zerega
Angelo Zerega
ANGELO LEOGRANDEANGELO LEOGRANDE
ANGELO LEOGRANDE
A new software platform is presented in this article to oversee and manage urban and industrial smart systems by employing digital twin technologies and immersive, interactive metaverse settings, thereby achieving environmentally sustainable urban infrastructure. The system proposed is prepared to track, simulate, and optimize building performance using predictive analytics and interactive dashboards, and thus serves as a modular, interoperable solution. By defining a multi-residential site management case study, a working prototype is developed and implemented here using simulated and realistic datasets, thereby designed for real-time calculation and visualization of key performance indicators (KPIs) across various areas, including energy efficiency, preventive maintenance, user experience through design, and economic performance. The choice of KPIs, such as energy usage intensity, return on investment, and user satisfaction, can benefit from this technology setup and yield improvements through enhanced operational efficiency, clearer decision-making, and long-term costeffectiveness. Although such obstacles exist, empirical testing with real data may reveal that integration with hardware, interoperability with existing setups, and economic costing are feasible for small to medium-sized players. With evaluation performed using simulated data, the platform suggests a prospective setup ready to be tested through pilot testing with real-world deployment. In situating the Smart Infrastructure Metaverse here, as a transformation setup of digital governance within a built and developed framework with technological innovation coupled with sustainability and with inclusivity to all the players/stakeholders, the cities embarked here through ever-increasing digital ecosystems with advantages of having such works through an emerging discussion of how immersive technology informs here of a next-generation potential of smart, sustainable, and participatory urban living.

7 October 2025 in Preprints.org
Verified
Preprint
Open access
PDF file
NMNicola Magaletti
Nicola Magaletti
CTChiara Tognon
Chiara Tognon
MMMauro Di Molfetta
Mauro Di Molfetta
AZAngelo Zerega
Angelo Zerega
VNValeria Nortarnicola
Valeria Nortarnicola
ANGELO LEOGRANDEANGELO LEOGRANDE
ANGELO LEOGRANDE
A new software platform is presented in this article to oversee and manage urban and industrial smart systems by employing digital twin technologies and immersive, interactive metaverse settings, thereby achieving environmentally sustainable urban infrastructure. The system proposed is prepared to track, simulate, and optimize building performance using predictive analytics and interactive dashboards, and thus serves as a modular, interoperable solution. By defining a multi-residential site management case study, a working prototype is developed and implemented here using simulated and realistic datasets, thereby designed for real-time calculation and visualization of key performance indicators (KPIs) across various areas, including energy efficiency, preventive maintenance, user experience through design, and economic performance. The choice of KPIs, such as energy usage intensity, return on investment, and user satisfaction, can benefit from this technology setup and yield improvements through enhanced operational efficiency, clearer decision-making, and long-term cost-effectiveness. Although such obstacles exist, empirical testing with real data may reveal that integration with hardware, interoperability with existing setups, and economic costing are feasible for small to medium-sized players. With evaluation performed using simulated data, the platform suggests a prospective setup ready to be tested through pilot testing with real-world deployment. In situating the Smart Infrastructure Metaverse here, as a transformation setup of digital governance within a built and developed framework with technological innovation coupled with sustainability and with inclusivity to all the players/stakeholders, the cities embarked here through ever-increasing digital ecosystems with advantages of having such works through an emerging discussion of how immersive technology informs here of a next-generation potential of smart, sustainable, and participatory urban living.