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-...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10423623/ |