Interpretable multi-graph convolution network integrating spatial-temporal attention and dynamic combination for wind power forecasting

Expert Systems with Applications, Год журнала: 2024, Номер 255, С. 124766 - 124766

Опубликована: Дек. 1, 2024

Язык: Английский

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BiLSTM-InceptionV3-Transformer-fully-connected model for short-term wind power forecasting

Energy Conversion and Management, Год журнала: 2024, Номер 321, С. 119094 - 119094

Опубликована: Сен. 25, 2024

Язык: Английский

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A novel hybrid deep learning model for ultra-short-term prediction of wind speed

Physics of Fluids, Год журнала: 2025, Номер 37(1)

Опубликована: Янв. 1, 2025

Accurate ultra-short-term wind speed prediction is critical for various engineering applications. Although decomposition-integration methods are widely used this purpose, several challenges remain. This study addresses these by integrating two-stage feature extraction, a combination weight model, and intelligent integration to improve accuracy. In the decomposition phase, two advanced employed reduce data complexity extract comprehensive features. During reconstruction, multiscale sample entropy applied balance computational efficiency with model complexity. To overcome limitations of individual forecasting models, combined incorporating deep learning approaches developed, weights adaptively optimized using Sparrow Search Algorithm. Additionally, address variability in subsequence contributions, based on models implemented, ensuring robust accurate final predictions. Validation from three Hong Kong Observatory weather stations demonstrates that proposed method outperforms benchmark achieving more-satisfactory accuracy, stability, robustness.

Язык: Английский

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A dual-dimensionality reduction attention mechanism with fusion of high-dimensional features for wind power prediction

Renewable Energy, Год журнала: 2025, Номер unknown, С. 122950 - 122950

Опубликована: Март 1, 2025

Язык: Английский

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A Multi-Task Spatio-Temporal Fusion Network for Offshore Wind Power Ramp Events Forecasting

Renewable Energy, Год журнала: 2024, Номер 237, С. 121774 - 121774

Опубликована: Окт. 30, 2024

Язык: Английский

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Wind Farm Cluster Power Prediction Based on Graph Deviation Attention Network with Learnable Graph Structure and Dynamic Error Correction During Load Peak and Valley Periods

Energy, Год журнала: 2024, Номер unknown, С. 133645 - 133645

Опубликована: Окт. 1, 2024

Язык: Английский

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