Self‐paced learning long short‐term memory based on intelligent optimization for robust wind power prediction
Abstract Given the unpredictable and intermittent nature of wind energy, precise forecasting of wind power is crucial for ensuring the safe and stable operation of power systems. To reduce the influence of noise data on the robustness of wind power prediction, a wind power prediction method is propo...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2024-11-01
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Series: | IET Control Theory & Applications |
Subjects: | |
Online Access: | https://doi.org/10.1049/cth2.12644 |
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