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Comparative analysis of deep learning and tree-based models in power demand prediction: Accuracy, interpretability, and computational efficiency

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Research and development have demonstrated that effective building energy prediction is significant for enhancing energy efficiency and ensuring grid reliability. Many machine learning (ML) models, particularly deep learning (DL) approaches, are widely used fo... ...