Federico Dell'Aquila

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 9

Top Topics

Renewable Energy Sources

Machine Learning

Scaling Function

Top Venues

ICCSA (Workshops 5)

ICCSA (Workshops 4)

Publications

Caterina Caprioli, Federico Dell'Aquila, Francesco Fiermonte
Renewable Energy Sources and Ecosystem Services: Measuring the Impacts of Ground-Mounted Photovoltaic Panels. ICCSA (Workshops 5) (2023)
Giulio Cavana, Federico Dell'Aquila
An Evaluation Model to Support Strategic Urban Planning in Italy: The Application of Community Impact Evaluation. ICCSA (Workshops 5) (2023)
Federico Dell'Aquila
Spatial Econometric Analysis of Multi-family Housing Prices in Turin: The Heterogeneity of Preferences for Energy Efficiency. ICCSA (Workshops 4) (2022)
Mauro Berta, Marta Bottero, Marina Bravi, Federico Dell'Aquila, Andrea Rapari
The Regeneration of a Shopping Center Starts from Consumers' Preferences: A Best-Worst Scaling Application. ICCSA (7) (2021)
Federico Dell'Aquila, Marta Bottero, Marina Bravi
Geographically Weighted Regression Models to Investigate Urban Infrastructures Impacts. ICCSA (7) (2021)
Marta Bottero, Marina Bravi, Caterina Caprioli, Federico Dell'Aquila, Marta Dell'Ovo, Alessandra Oppio
New Housing Preferences in the COVID-19 Era: A Best-to-Worst Scaling Experiment. ICCSA (6) (2021)
Giulia Crespi, Federico Dell'Aquila, Tiziana Binda, Cristina Becchio, Marta Bottero
Evaluating the Health-Related Social Costs Associated with the Thermal Uses of the Residential Sector: The Case of Turin. ICCSA (7) (2021)
Alessandra Oppio, Marta Bottero, Federico Dell'Aquila, Marta Dell'Ovo, Laura Gabrielli
Evaluating the Urban Quality Through a Hybrid Approach: Application in the Milan (Italy) City Area. ICCSA (5) (2020)
Francesco Salamone, Alice Bellazzi, Lorenzo Belussi, Gianfranco Damato, Ludovico Danza, Federico Dell'Aquila, Matteo Ghellere, Valentino Megale, Italo Meroni, Walter Vitaletti
Evaluation of the Visual Stimuli on Personal Thermal Comfort Perception in Real and Virtual Environments Using Machine Learning Approaches. Sensors 20 (6) (2020)