Short-term photovoltaic power forecasting with feature extraction and attention mechanisms
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DOI: 10.1016/j.renene.2024.120437
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Cited by:
- Zhu Liu & Lingfeng Xuan & Dehuang Gong & Xinlin Xie & Dongguo Zhou, 2025. "A Long Short-Term Memory–Wasserstein Generative Adversarial Network-Based Data Imputation Method for Photovoltaic Power Output Prediction," Energies, MDPI, vol. 18(2), pages 1-14, January.
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Keywords
Photovoltaic power prediction; Hybrid deep learning; Bidirectional long- and short-term neural networks; Convolutional neural network; Attention mechanism model;All these keywords.
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