Thermal Conductivity of Low-GWP Refrigerants Modeling with Multi-Object Optimization. - Mariano Pierantozzi; Sebastiano Tomassetti; Giovanni Di Nicola (Algorithms, 2022)

A Deep Learning Approach for Climate Parameter Estimations and Renewable Energy Sources. - Camilla Lops; Mariano Pierantozzi; Luciano Caroprese; Sergio Montelpare (IEEE Big Data, 2023)

PRECEDE: Climate and Energy Forecasts to Support Energy Communities with Deep Learning Models. - Francesco Dattola; Pasquale Iaquinta; Miriam Iusi; Deborah Federico; Raffaele Greco; Marco Talerico; Valentina Coscarella; Luca Legato; Ivana Pellegrino; Sonia Bergamaschi; Mirko Orsini; Riccardo Martoglia; et al. (IEEE Big Data, 2024)

DL2F: A Deep Learning model for the Local Forecasting of renewable sources. - Luciano Caroprese; Mariano Pierantozzi; Camilla Lops; Sergio Montelpare (Comput. Ind. Eng., 2024)

Comparing Deep Learning Approaches for Weather Forecasting: Insights from the PRECEDE Project. - Maira Aracne; Tommaso Ruga; Camilla Lops; Deborah Federico; Luciano Caroprese; Ester Zumpano; Sergio Montelpare; Mariano Pierantozzi; Francesco Dattola; Pasquale Iaquinta; Miriam Iusi; Raffaele Greco; et al. (EDBT/ICDT Workshops, 2025)