Investigating the effects of the greenery increase on air temperature, ventilation and cooling energy demand in Melbourne with the Weather Research and Forecasting model and Local Climate Zones, Falasca, Serena, Zinzi Michele, Siani Anna Maria, Curci Gabriele, Ding Lan, and Santamouris Mattheos , Science of the Total Environment, Volume 953, (2024)

A finite element model for the prediction of porosity in autoclave cured composites, A. Sommi, Dei, Buccoliero G., Lionetto F., De Pascalis F., Nacucchi Michele, and Maffezzoli A. , Composites Part B: Engineering, Volume 264, (2023)

QUALITY CONTROL INDICATORS FOR THE VALIDATION OF AIR QUALITY FORECAST APPLICATIONS IN THE FRAMEWORK OF FAIRMODE ACTIVITIES, Piersanti, Antonio, Cuvelier C., Janssen S., Monteiro A., Durka P., Thunis P., and Vitali Lina , 21st International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2022, (2022)

On the association between high outdoor thermo-hygrometric comfort index and severe ground-level ozone: A first investigation, Falasca, Serena, Curci Gabriele, and Salata Ferdinando , Environmental Research, Volume 195, (2021)

Droughts Prediction: a Methodology Based on Climate Seasonal Forecasts, Arnone, E., Cucchi M., Gesso S.D., Petitta Marcello, and Calmanti Sandro , Water Resources Management, (2020)

Residual load probabilistic forecast for reserve assessment: A real case study, Pierro, M., De Felice Matteo, Maggioni E., Moser D., Perotto A., Spada F., and Cornaro C. , Renewable Energy, Volume 149, p.508-522, (2020)

Seasonal prediction of Euro-Atlantic teleconnections from multiple systems, Lledó, L., Cionni Irene, Torralba V., Bretonniere P.-A., and Samsó M. , Environmental Research Letters, Volume 15, Number 7, (2020)

A locked mode indicator for disruption prediction on JET and ASDEX upgrade, Sias, G., Cannas B., Fanni A., Murari A., Pau A., Kallenbach A., Aguiam D., Aho-Mantila L., Angioni C., Arden N., et al. , Fusion Engineering and Design, Volume 138, p.254-266, (2019)

Microwave thermal ablation using CT-scanner for predicting the variation of ablated region over time: Advantages and limitations, Strigari, L., Minosse S., D'Alessio D., Farina L., Cavagnaro M., Cassano B., Pinto Rosanna, Vallati G., and Lopresto V. , Physics in Medicine and Biology, Volume 64, Number 11, (2019)

Scoping the potential usefulness of seasonal climate forecasts for solar power management, De Felice, Matteo, Soares M.B., Alessandri A., and Troccoli A. , Renewable Energy, p.215-223, (2019)

High-resolution air quality modeling: Sensitivity tests to horizontal resolution and urban canopy with WRF-CHIMERE, Falasca, Serena, and Curci Gabriele , Atmospheric Environment, Volume 187, p.241 – 254, (2018)

Deterministic and Stochastic Approaches for Day-Ahead Solar Power Forecasting, Pierro, M., Bucci F., De Felice Matteo, Maggioni E., Perotto A., Spada F., Moser D., and Cornaro C. , Journal of Solar Energy Engineering, Transactions of the ASME, Volume 139, Number 2, (2017)

Impact of grid resolution on aerosol predictions: A case study over Italy, Mircea, Mihaela, Grigoras G., D'Isidoro Massimo, Righini Gaia, Adani Mario, Briganti Gino, Ciancarella Luisella, Cappelletti Andrea, Calori G., Cionni Irene, et al. , Aerosol and Air Quality Research, MAY, Volume 16, Number 5, p.1253-1267, (2016)

Multi-Model Ensemble for day ahead prediction of photovoltaic power generation, Pierro, M., Bucci F., De Felice Matteo, Maggioni E., Moser D., Perotto A., Spada F., and Cornaro C. , Solar Energy, Volume 134, p.132-146, (2016)

Forecasting short-term electricity consumption using a semantics-based genetic programming framework: The South Italy case, Castelli, M., Vanneschi L., and De Felice Matteo , Energy Economics, Volume 47, p.37-41, (2015)

Prediction of Indian summer monsoon onset using dynamical subseasonal forecasts: Effects of realistic initialization of the atmosphere, Alessandri, Andrea, Borrelli A., Cherchi A., Materia S., Navarra A., Lee J.-Y., and Wang B. , Monthly Weather Review, Volume 143, Number 3, p.778-793, (2015)

Seasonal river discharge forecasting using support vector regression: A case study in the Italian Alps, Callegari, M., Mazzoli P., de Gregorio L., Notarnicola C., Pasolli L., Petitta Marcello, and Pistocchi A. , Water (Switzerland), Volume 7, Number 5, p.2494-2515, (2015)

Short-term predictability of photovoltaic production over Italy, De Felice, Matteo, Petitta Marcello, and Ruti P.M. , Renewable Energy, Volume 80, p.197-204, (2015)

Mediterranean Quercus suber wooded grasslands risk disappearance: New evidences from Sardinia (Italy), Rossetti, Ivo, and Bagella S. , Forest Ecology and Management, Volume 329, p.148-157, (2014)

A relocatable ocean model in support of environmental emergencies, De Dominicis, M., Falchetti S., Trotta F., Pinardi N., Giacomelli L., Napolitano Ernesto, Fazioli L., Sorgente R., Jr. P.J. Haley, Lermusiaux P.F.J., et al. , Ocean Dynamics, Volume 64, Number 5, p.667-688, (2014)

Elastoplastic damaging model for adhesive anchor systems. I: Theoretical formulation and numerical implementation, Spada, A., Giambanco G., and Rizzo P. , Journal of Engineering Mechanics, Volume 137, Number 12, p.854-861, (2012)

Sea-salt aerosol forecasts compared with wave and sea-salt measurements in the open mediterranean sea, Kishcha, P., Starobinets B., Bozzano R., Pensieri S., Canepa E., Nickovic S., Di Sarra Alcide, Udisti R., Becagli S., and Alpert P. , European Space Agency, (Special Publication) ESA SP, Volume 703 SP, Frascati, (2012)

Evaluation of probabilistic quality and value of the ENSEMBLES multimodel seasonal forecasts: Comparison with DEMETER, Alessandri, Andrea, Borrelli A., Navarra A., Arribas A., Déqué M., Rogel P., and Weisheimer A. , Monthly Weather Review, Volume 139, Number 2, p.581-607, (2011)

Neural networks ensembles for short-term load forecasting, De Felice, Matteo, and Yao X. , IEEE SSCI 2011 - Symposium Series on Computational Intelligence - CIASG 2011: 2011 IEEE Symposium on Computational Intelligence Applications in Smart Grid, Paris, p.61-68, (2011)

Short-term load forecasting with neural network ensembles: A comparative study, De Felice, Matteo, and Yao X. , IEEE Computational Intelligence Magazine, Volume 6, Number 3, p.47-56, (2011)