Predicting Power Transformer Temperature for Dynamic Loading 2025 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis

Place, publisher, year, edition, pages

2025. , p. 38

Keywords [en]

power transformer, hotspot temperature, dynamic thermal rating, machine learning, physics-aware modeling, transformer monitoring, non-intrusive sensors, iot, thermal prediction, artificial neural network, attention model, long short-term memory, transformer temperature estimation, predictive maintenance, smart grid, asset management, data-driven modeling

National Category

Artificial Intelligence

Identifiers

URN: urn:nbn:se:mau:diva-79965OAI: oai:DiVA.org:mau-79965DiVA, id: diva2:2005591

External cooperation

Oktogrid ApS

Educational program

TS Computer Science: Applied Data Science

Supervisors

Examiners

Available from: 2025-10-10 Created: 2025-10-10 Last updated: 2025-10-10Bibliographically approved

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Hoel, Jørgen

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