Interpretable feature selection and deep learning for short-term probabilistic PV power forecasting in buildings using local monitoring data
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DOI: 10.1016/j.apenergy.2024.124271
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- 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
PV probabilistic forecasting; Attention mechanism; Interpretable feature selection method; Interpretable deep learning model;All these keywords.
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