Short-Term Wind Power Prediction Based on DTW Error Diagnosis and Transformer Optimization Model

Author:

Qu Zhida1,Peng Xiaosheng2,Song Jiajiong2,Yang Zimin2

Affiliation:

1. China-EU Institute for Clean and Renewable Energy, Huazhong University of Science and Technology,Wuhan,China

2. School of Electrical and Electronic Engineering, Huazhong University of Science and Technology,Wuhan,China

Publisher

IEEE

Reference14 articles.

1. A summary of the state of the art for short-term and ultra-short-term wind power prediction of regions[J];Peng,2016

2. Short-term wind power prediction based on feature selection and multi-level deep transfer learning[J];Cheng;High Voltage Engineering,2022

3. Short-term wind power prediction based on dynamic cluster division and BLSTM deep Learning method[J];Yang;High Voltage Engineering,2021

4. Short-term power output forecasting of clustered photovoltaic solar plants based on cluster partition[J];Lu;High Voltage Engineering,2022

5. Alerting to Rare Large-Scale Ramp Events in Wind Power Generation

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