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SSRNML & AI Methods

MLBased CT Saturation Detection

The study introduces a machine learning method for detecting saturation in Current Transformers using artificial neural networks and long short-term memory networks, enhancing anomaly detection in complex datasets.

Featured in No. 69 on 9 Oct 2024 · 2 days after release

Released
7 Oct 2024
First featured
No. 69 · 9 Oct 2024
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
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Identifier
SSRN 4979169

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

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