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7.high-Precision Energy Consumption Forecasting For Large Office Building Using A Signal Decomposition-Based Deep Learning Approach by dj1255603049 is a document available to read on EtoBox.

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The document presents SPAformer, a novel deep learning model for accurately forecasting energy consumption in large office buildings by decomposing energy data into trend and periodic components. This model utilizes a spectral-patch attention mechanism to enhance the capture of complex patterns influenced by various factors, achieving a 12% improvement in prediction accuracy over existing models. The study emphasizes the importance of accurate long-term energy forecasting for effective energy management and

Author

dj1255603049

Language

EN