ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting

This is a simple but comprehensive explanation of ATFNet, a new deep-learning model for long-term time forecasting. Enjoy!

ATFNet is a deep learning model that combines time and frequency domain modules to capture dependencies in time series data. It introduces a novel weighting mechanism to adjust weights based on periodicity, enhances the Discrete Fourier Transform, and includes a Complex-valued Spectrum Attention mechanism for intricate relationship discernment, and of course, outperforming current methods in long-term time series forecasting (This is …

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