A novel approach to ultra-short-term multi-step wind power predictions based on encoder–decoder architecture in natural language processing

Author:

Wang LeiORCID,He Yigang,Li Lie,Liu Xiaoyan,Zhao Yingying

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment,Building and Construction

Reference31 articles.

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2. Hybrid PSO-BP neural network approach for wind power forecasting;Bo;Int. Energy J.,2017

3. Machine Learning Strategies for Time Series Forecasting;Bontempi,2012

4. Ultra-short-term wind power prediction based on bidirectional gated recurrent unit and transfer learning;Chen;Front. Energy Res.,2021

5. The influence of the main large-scale circulation patterns on wind power production in Portugal;Correia;Renew. Energy,2017

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