Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
Show MetadataAuthors
 
Session Overview
Session
A2-3: A2 Power Transformer and Reactor: Artificial Intelligence and Digitalization
Time:
Tuesday, 30/Sept/2025:
4:00pm - 6:00pm

 Location: Room 520F
Session Topics:
A2 Power transformers and reactors

Show help for 'Increase or decrease the abstract text size'
Presentations
4:00pm - 4:15pm

Machine Learning Applied to Anomaly Diagnosis in Transformers and Reactors Using Gas Chromatography

Rafael Ferreira1, Thiago Sanchez1, Tatiana Escovedo2, Marcos Kalinowski2

1Eletrobras CGT Eletrosul, Brazil; 2PUC-RJ, Brazil


4:15pm - 4:30pm

Advances in Data-Driven Models for Digital Twins of Power Transformers

Sruti Chakraborty1, Mauricio Soto2, Alexander Alber3, Brian Sparling4, Patrick Picher5, Federica Bragone6

1OMICRON Electronics, Austria; 2Hitachi Energy, United-States; 3Hitachi Energy, Germany; 4Kinectrics, Canada; 5Hydro Quebec, Canada; 6KTH University, Sweden


4:30pm - 4:45pm

Application of Machine Learning on Prediction of Power Transformer No-Load Losses

Bruno Bosnjak, Walter Lee

GE Vernova


4:45pm - 5:00pm

Approach, experiences and lessons learned in a fault developing HV transformer:Case Study perspective

Parag Chatterjee, Sushil Kumar

NTPC Limited, India


5:00pm - 5:15pm

Application of Machine Learning Interpretability and Explainability Metrics in FRA of Transformers

Gabriel Lopes

Siemens Energy, Germany


5:15pm - 5:30pm

Digital Transformation (DX) in Power Transformer Manufacturing: Enhancing Efficiency and Precision

Shigeyoshi Yoshida, Daisuke Ueno, Atsushi Yamatake, Yoshinobu Kitagawa, Kenichi Mino, Mitsugu Ueda, Tadao Minagawa, Hirotaka Muto

Mitsubishi Electric Corp, Japan


5:30pm - 5:45pm

A Novel Hybrid Multilayer Model for Diagnosing Faults in Power Transformers Through Dissolved Gas Analysis (DGA)

Mouloud Bouzar1, issouf Fofana1, Patrick Picher2

1Canada Research Chair Tier 1 in the Aging of Oil-Filled Equipment on High Voltage Lines (ViAHT), Université du Québec à Chicoutimi (UQAC), Chicoutimi, QC G7H 2B1, Canada; 2Hydro-Québec's Research Institute


5:45pm - 6:00pm

Advancing Power Transformer Monitoring: Machine Learning-Based Temperature Monitoring

Hoda Jalali, Avinash Jain

VIE Technologies, United States of America