In recent years,
Transformer-based architectures for multimodal time series forecasting have gained widespread popularity and are progressively becoming one of the most preferred models for time series analysis. Increasingly, models are utilizing independent channel approaches, where the model processes each channel sequence separately, without interacting with the others.
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