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SETTer: Sparse-Encoder Transformer for Long-term Multivariate Time Series Forecasting

arXiv · AI, language, vision and robotics · article · Sep 17, 2026 · UTC

Long-term multivariate time series plays a significant role in many application areas such as power systems, trading, etc. However, their accurate prediction is quite difficult for conventional forecasting methods as they often exhibit high dimensionality and complex relationships. Recent works show that transformer-based approaches are quite effective for long-term forecasting thanks to their attention mechanism. However, in the presence of complex high-dimensional inputs, they show evidence of oversmoothing, limited capacity, and opacity. To this end, this paper introduces SETTer, a transfor

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