A compound of feature selection techniques to improve solar radiation forecasting. - Marco Castangia; Alessandro Aliberti; Lorenzo Bottaccioli; Enrico Macii; Edoardo Patti (Expert Syst. Appl., 2021)

Solar radiation forecasting with deep learning techniques integrating geostationary satellite images. - Raimondo Gallo; Marco Castangia; Alberto Macii; Enrico Macii; Edoardo Patti; Alessandro Aliberti (Eng. Appl. Artif. Intell., 2022)

Non-intrusive load monitoring techniques for the disaggregation of ON/OFF appliances. - Marco Castangia; Angelica Urbanelli; Awet Abraha Girmay; Christian Camarda; Enrico Macii; Edoardo Patti (Energy Inform., 2022)

Transformer neural networks for interpretable flood forecasting. - Marco Castangia; Lina Maria Medina Grajales; Alessandro Aliberti; Claudio Rossi 003; Alberto Macii; Enrico Macii; Edoardo Patti (Environ. Model. Softw., 2023)

Clustering Appliance Operation Modes With Unsupervised Deep Learning Techniques. - Marco Castangia; Nicola Barletta; Christian Camarda; Stefano Quer; Enrico Macii; Edoardo Patti (IEEE Trans. Ind. Informatics, 2023)

Training Nonintrusive Load Monitoring Algorithms Without Supervision From Submeters. - Marco Castangia; Awet Abraha Girmay; Christian Camarda; Edoardo Patti (IEEE Trans. Ind. Informatics, 2024)

Privacy-Preserving Federated Learning for Household Characteristic Identification. - Erich Malan; Claudia De Vizia; Marco Castangia; Valentino Peluso; Andrea Calimera; Enrico Macii (COMPSAC, 2025)

Neural networks for estimating surface solar irradiation from satellite images. - Raimondo Gallo; Marco Castangia; Alberto Macii; Edoardo Patti; Alessandro Aliberti (Eng. Appl. Artif. Intell., 2025)