Anomaly Detection in a Micro-CHP Using Convolutional Autoencoders and Fine Tuning for Domain Adaptation. - Piero Danti; Alessandro Innocenti (ICSRS, 2023)

A methodology to determine the optimal train-set size for autoencoders applied to energy systems. - Piero Danti; Alessandro Innocenti (Adv. Eng. Informatics, 2023)

Anomaly detection and root cause analysis using convolutional autoencoders: A real case study. - Piero Danti; Alessandro Innocenti; Sascha Sandomier (J. Comput. Sci., 2025)