New MDPI Topic "Technologies and Applications of data-driven Anomaly Detection in Energy Systems"

Dr.  Piscitelli Marco Savino , prof.  Capozzoli Alfonso prof. Rosato Antonio and Dr.  Fan Cheng are serving as Editors for the new interdisciplinary Topic titled "Technologies and Applications of data-driven Anomaly Detection in Energy Systems" promoted by MDPI.

MDPI Topics are collections of articles that concentrate on specific interdisciplinary themes published in a number of related MDPI journals (i.e., Energies MDPI, Applied Sciences MDPI, Sci MDPI, Electronics MDPI, Sensors MDPI, Systems MDPI).
Topics allow authors from different research areas to unite around one subject, describe multi-disciplinary applications, and develop new ideas.
The objective of this Topic Project is to showcase the diversity and advances in the anomaly detection research field and to contribute in exploring the scalability of  data driven solutions for a large set of heterogeneous energy systems. Original papers based on both experimental and simulated studies are welcome. Editors are particularly interested in receiving manuscripts that integrate energy, mechanical and computer engineering research.
Researchers from all areas of engineering are invited to submit manuscripts for this relevant Topic Project.

Abstract submission deadline

31 July 2023

Manuscript submission deadline

30 November 2023

For more info please click here