Data Decomposition Modeling Based on Improved Dung Beetle Optimization Algorithm for Wind Power Prediction
Accurate wind power forecasting is essential for maintaining the stability of a power system and enhancing scheduling efficiency in the power sector. To enhance prediction accuracy, this paper presents a hybrid wind power prediction model that integrates the improved complementary ensemble empirical...
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| Main Authors: | Jiajian Ke, Tian Chen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Data |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2306-5729/9/12/146 |
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