Camilla Lops

According to our database, Camilla Lops authored at least 4 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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, Marco Talerico, Valentina Coscarella, Luca Legato, Ivana Pellegrino, Sonia Bergamaschi, Mirko Orsini, Riccardo Martoglia, Andrea Livaldi, Abeer Jelali, Simone Sbreglia

Proceedings of the Workshops of the EDBT/ICDT 2025 Joint Conference co-located with the EDBT/ICDT 2025 Joint Conference, 2025

2024

DL2F: A Deep Learning model for the Local Forecasting of renewable sources.

Luciano Caroprese, Mariano Pierantozzi, Camilla Lops, Sergio Montelpare

Comput. Ind. Eng., January, 2024

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, Andrea Livaldi, Abeer Jelali, Simone Sbreglia, Tommaso Ruga, Ester Zumpano, Luciano Caroprese, Camilla Lops, Sergio Montelpare, Mariano Pierantozzi, Maira Aracne

Proceedings of the IEEE International Conference on Big Data, 2024

2023

A Deep Learning Approach for Climate Parameter Estimations and Renewable Energy Sources.

Camilla Lops, Mariano Pierantozzi, Luciano Caroprese, Sergio Montelpare

Proceedings of the IEEE International Conference on Big Data, 2023