Recurrent attention encoder–decoder network for multi-step interval wind power prediction

Xiaoling Ye; Cheng‐Cheng Liu; Xiong Xiong; Qi Yan

doi:10.1016/j.energy.2024.134317

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Recurrent attention encoder–decoder network for multi-step interval wind power prediction

Xiaoling Ye Cheng‐Cheng Liu Xiong Xiong Qi Yan

Year: 2025 Journal: Energy Vol: 315 Pages: 134317-134317 Publisher: Elsevier BV

DOI: 10.1016/j.energy.2024.134317

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Keywords:

Encoder Power (physics) Interval (graph theory) Wind power Computer science Speech recognition Algorithm Control theory (sociology) Artificial intelligence Automotive engineering Environmental science Engineering Electrical engineering Mathematics Physics

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Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Solar Radiation and Photovoltaics

Physical Sciences → Computer Science → Artificial Intelligence

Power Systems and Renewable Energy

Physical Sciences → Energy → Energy Engineering and Power Technology

Recurrent attention encoder–decoder network for multi-step interval wind power prediction

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