Visual inspection of fault type and zone prediction in electrical grids using interpretable spectrogram-based CNN modeling

C Ardito, Y Deldjoo, T Di Noia, E Di Sciascio… - Expert Systems with …, 2022 - Elsevier
In electrical grids, fault diagnosis (fault type and fault location classifications) are critical due
to their economic and important implications. Numerous smart grid applications have …

[PDF][PDF] Revisiting Security Threat on Smart Grids: Accurate and Interpretable Fault Location Prediction and Type Classification.

C Ardito, Y Deldjoo, E Di Sciascio, F Nazary - ITASEC, 2021 - researchgate.net
This work revisits security threats on smart electrical grids and focuses on the dimensions of
dependability, serviceability, and accountability, which constitute the security requirements …

ISCADA: Towards a Framework for Interpretable Fault Prediction in Smart Electrical Grids

C Ardito, Y Deldjoo, E Di Sciascio, F Nazary… - IFIP Conference on …, 2021 - Springer
This paper reports ongoing research for the definition of a data-driven self-healing system
using machine learning (ML) techniques that can perform automatic and timely detection of …

Trustworthy machine learning in smart grids

F Nazary - 2023 - tesidottorato.depositolegale.it
More than a decade after its introduction, the concept of a smart grid remains essential to the
industry's ongoing digital transformation. A smart grid (SG) is an electricity network that …