This paper shows some application examples of machine learning techniques in the monitoring of electricity distribution services. In particular, the application of neural network-based techniques is considered in two different areas of interest: monitoring of underground cables in medium voltage lines and fault diagnosis of joints in overhead electrical lines (high voltage).

Applications of Machine Learning Techniques for the Monitoring of Electrical Transmission and Distribution lines / Bindi M.; Luchetta A.; Paolucci L.; Grasso F.; Manetti S.; Piccirilli M.C.. - ELETTRONICO. - (2022), pp. 1-4. (Intervento presentato al convegno 2022 18th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)) [10.1109/SMACD55068.2022.9816290].

Applications of Machine Learning Techniques for the Monitoring of Electrical Transmission and Distribution lines

Bindi M.;Luchetta A.;Paolucci L.;Grasso F.;Manetti S.;Piccirilli M. C.
2022

Abstract

This paper shows some application examples of machine learning techniques in the monitoring of electricity distribution services. In particular, the application of neural network-based techniques is considered in two different areas of interest: monitoring of underground cables in medium voltage lines and fault diagnosis of joints in overhead electrical lines (high voltage).
2022
2022 18th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)
2022 18th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)
Bindi M.; Luchetta A.; Paolucci L.; Grasso F.; Manetti S.; Piccirilli M.C.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1282901
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