Igor Simone STIEVANO

Professor (Electrical Engineering)

Politecnico di Torino

Italy

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About

Igor Simone Stievano is a Professor of Electrical Engineering at Politecnico di Torino, Italy. His research areas include machine learning applications in IC modeling, electromagnetic interference analysis on pipeline networks, and the effects of geomagnetic disturbances on energy systems. He has authored several recent articles focusing on advanced techniques for energy network simulation and partial discharge localization in power systems.

Articles (15)

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2020

Collaborators (3)

Anita Maria TABACCO

Professor

ITALY

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Noel Tanguy

University of Brest

FRANCE

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Paolo Manfredi

Assistant Professor

Politecnico di Torino

ITALY

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Igor Simone STIEVANO

Research Interests

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Articles (15)

IC Modeling via Machine Learning Regressions: A Data-Driven Approach to SPICE Integration

A Generalized Equivalence Method for the Calculation of Low-Frequency EMI on Pipeline Networks Considering Polarization Effect

Analysis of the Coupling of Overhead Lines Excited by Indirect Lightning Considering Dispersive Soil Water Percentage

Implementation of Adaptive Partial Discharge Denoising in Resource-Limited Embedded Systems via Efficient Time-Frequency Matrix Factorization

On-Line Partial Discharge Localization of 10-kV Covered Conductor Lines

Advanced Techniques for the Modeling and Simulation of Energy Networks

Modeling of Induction in Integrated Power-Gas Systems Due to Geomagnetic Disturbances

Reduced Nodal Admittance Matrix Method for Probabilistic GIC Analysis in Power Grids

Stochastic Time-Domain Mapping for Comprehensive Uncertainty Assessment in Eye Diagrams

A Compact Detector for Flexible Partial Discharge Monitoring of 10-kV Overhead Covered Conductor Lines

The Educational Benefit of a Remote Automatic Control Laboratory. A Win-Win Collaboration between Asia and Europe

Synthetic gas networks for the statistical assessment of low-carbon distribution systems

An Automatic Tool for Partial Discharge De-Noising via Short-Time Fourier Transform and Matrix Factorization

A Statistical Assessment of Blending Hydrogen into Gas Networks

Machine Learning for the Uncertainty Quantification of Power Networks

Collaborators (3)

Anita Maria TABACCO

Noel Tanguy

Paolo Manfredi

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