The analysis of voltage collapse induced by nonlinear loads in an arc furnace utilising deep learning-driven TabNet and NODE models
Electric arc furnaces (EAF) represent a class of nonlinear loads distinguished by high energy consumption during metal melting processes. Voltage collapses in these systems adversely affect power quality, reduce energy efficiency, and cause significant disruptions in production processes. Consequent...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
PeerJ Inc.
2026-01-01
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| Edice: | PeerJ Computer Science |
| Témata: | |
| On-line přístup: | https://peerj.com/articles/cs-3505.pdf |
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