Overcoming Data Scarcity in Wind Power Forecasting: A Deep Learning Approach With Bidirectional Generative Adversarial Network and Neighborhood Search PSO Algorithm
The precision and stability of wind power prediction (WPP) are critical for the grid-connected operation of wind farms. However, the insufficient availability of historical data poses challenges for traditional deep learning prediction models to accurately forecast for new-built wind farms (NWF) und...
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| 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/10769067/ |
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