Machine Learning in Active Power Filters: Advantages, Limitations, and Future Directions
Machine learning (ML) techniques have permeated various domains, offering intelligent solutions to complex problems. ML has been increasingly explored for applications in active power filters (APFs) due to its potential to enhance harmonic compensation, reference signal generation, filter control op...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | AI |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-2688/5/4/119 |
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