Evaluation and Analysis of Urban Power Grid Operation Status Based on Online Sequence Extreme Learning Machine and Self-Coding Network
The study aims to improve the accuracy and speed of the operating state assessment of urban power grids. The hierarchical analysis and self-coding network are combined to reduce the model input, and the improved online sequence limit learning machine (OSELM) algorithm is adopted to improve the real-...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2024-01-01
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| Colecção: | IEEE Access |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/10423623/ |
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