Ultra-Short-Term Prediction of Wind Power Based on Sample Similarity Analysis

Ultra-Short-Term Prediction of Wind Power Based on Sample Similarity Analysis

Increasing the utilization rate of wind energy is of great significance to the improvement of energy structure, which is inseparable from the support of wind power forecasting (WPF) technology. However, it is well known that there is no certain WPF model suitable for all conditions, such as differen...

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Bibliographic Details
Main Authors: Changxin Miao, Hao Li, Xia Wang, Heng Li
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Wind power forecasting
similarity analysis
pattern recognition
mode classification
numerical prediction
CNN
Online Access:https://ieeexplore.ieee.org/document/9430545/

Internet

https://ieeexplore.ieee.org/document/9430545/

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