Prospective regional analysis of olive and olive fly in Andalusia under climate change using physiologically based demographic modeling powered by cloud computing, Ponti, Luigi, Gutierrez A.P., Giannakopoulos C., Varotsos K.V., J. Nevado López, S. Feria López, González F.W. Rivas, Caboni F., Stocchino F., Rosati A., et al. , Climate Services, Volume 34, (2024)

Turning climate-related information into added value for traditional Mediterranean grape, olive, and durum wheat food systems, Ponti, Luigi, Dell'Aquila Alessandro, De Felice Matteo, Ruti Paolo Michele, Basso Bruno, Gutierrez A.P., Calmanti Sandro, Graça A., J. Nevado López, and Monotti C. , Climate Services, (2024)

Overcoming conflicting notions of climate forecasts reliability and skill in the agricultural sector: lessons from the MED-GOLD project, Calmanti, Sandro, Soares Marta Bruno, Dell'Aquila Alessandro, Ponti Luigi, De Felice Matteo, González-Reviriego Nube, Marcos-Matamoros Raül, Terrado Marta, Graça António, Fontes Natacha, et al. , EGU General Assembly Conference Abstracts, (2021)

Grand Multi-Model Seasonal Forecasts in the SECLI-FIRM project, Alessandri, Andrea, Catalano Franco, De Felice Matteo, Nielsen Kristian, Troccoli Alberto, Formenton Marco, and Piccioni Gaia , EGU General Assembly, (2020)

A novel model independence methodology to improve multi-model seasonal forecasts combination, Catalano, Franco, Alessandri Andrea, Nielsen Kristian, Cionni Irene, and De Felice Matteo , EGU General Assembly, (2020)

Remote sensing for monitoring and mapping Land Productivity in Italy: A rapid assessment methodology, Sciortino, M., De Felice Matteo, De Cecco L., and Borfecchia F. , Catena, Volume 188, (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)

Varying snow and vegetation signatures of surface albedo feedback on the Northern Hemisphere land warming, Alessandri, Andrea, Catalano Franco, De Felice Matteo, van den Hurk Bart, and Balsamo Gianpaolo , Environmental Research Letters, 12/2020, Volume 16, Number 3, (2020)

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)

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)

Grand European and Asian-Pacific multi-model seasonal forecasts: maximization of skill and of potential economical value to end-users, Alessandri, Andrea, De Felice Matteo, Catalano Franco, Lee J.-Y., Wang B., Lee D.Y., Yoo J.-H., and Weisheimer A. , Climate Dynamics, p.1-20, (2017)

Future development of the air-conditioning market in Europe: an outlook until 2020, Pezzutto, S., Fazeli R., De Felice Matteo, and Sparber W. , Wiley Interdisciplinary Reviews: Energy and Environment, Volume 5, Number 6, p.649-669, (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)

Multi-scale enhancement of climate prediction over land by increasing the model sensitivity to vegetation variability in EC-Earth, Alessandri, Andrea, Catalano Franco, De Felice Matteo, van Den Hurk B., F. Reyes Doblas, Boussetta S., Balsamo G., and Miller P.A. , Climate Dynamics, Volume 49, Number 4, p.1-23, (2016)

Observationally based analysis of land-atmosphere coupling, Catalano, Franco, Alessandri Andrea, De Felice Matteo, Zhu Z., and Myneni R.B. , Earth System Dynamics, Volume 7, Number 1, p.251-266, (2016)

Constructing analytic approximate solutions to the Lane-Emden equation, Iacono, Roberto, and De Felice Matteo , Physics Letters, Section A: General, Atomic and Solid State Physics, Volume 379, Number 32-33, p.1802-1807, (2015)

Electricity demand modelling with genetic programming, Castelli, M., De Felice Matteo, Manzoni L., Vanneschi L., Machado P., Costa E., and Cardoso A. , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 9273, p.213-225, (2015)

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)

Seasonal climate forecasts for medium-term electricity demand forecasting, De Felice, Matteo, Alessandri Andrea, and Catalano Franco , Applied Energy, Volume 137, p.435-444, (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)

Approximate analytic solutions to the isothermal Lane-Emden equation, Iacono, Roberto, and De Felice Matteo , Celestial Mechanics and Dynamical Astronomy, Jan-03-2014, Volume 118, Issue 3, Number 3, p.291-298, (2014)

Influence of climate change on hydropower plants electricity production, Roman, R., De Felice Matteo, and Popa B. , UPB Scientific Bulletin, Series D: Mechanical Engineering, Volume 76, Number 4, p.203-214, (2014)

Robust assessment of the expansion and retreat of Mediterranean climate in the 21st century, Alessandri, Andrea, De Felice Matteo, Zeng N., Mariotti A., Pan Y., Cherchi A., Lee J.-Y., Wang B., Ha K.-J., Ruti P., et al. , Scientific Reports, Volume 4, (2014)

Climate and Energy Production - A Climate Services Perspective, Ruti, P.M., and De Felice Matteo , Climate Vulnerability: Understanding and Addressing Threats to Essential Resources, Volume 3, p.117-121, (2013)

Dynamical modeling and parameter identification of seismic isolation systems by evolution strategies, Athanasiou, A., De Felice Matteo, Oliveto G., Oliveto P.S., K. Madani, Dourado A, Rosa A, and J. Filipe , Studies in Computational Intelligence, Volume 465, p.101-118, (2013)