Wind Power Prediction Based on a Hybrid Model of ICEEMDAN and ModernTCN-Informer
Reliable and accurate wind power forecasting serves as one of the effective measures to enhance grid peak regulation capacity while improving the safety and stability of power systems. However, wind power generation exhibits strong randomness and volatility, which pose significant challenges to achi...
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| Main Authors: | Jun He, Zijian Cheng, Zijie Zhong, Lizhuo Liang, Jianhui Ye |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11127017/ |
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