<ul><li>Simple feedforward neural networks (SFNNs) can achieve performance on par with, or even exceeding, advanced models like Transformers and graph neural networks (GNNs) in time series forecasting.</li><li>SFNNs are simpler, smaller, faster, and more robust compared to the state-of-the-art models.</li><li>Even in cases where modeling interactions between multiple series is needed, a basic multivariate SFNN can still deliver competitive results.</li><li>SFNNs serve as a strong baseline and future time series forecasting methods should be compared against them.</li></ul>

Simple Feedfoward Neural Networks are Almost All You Need for Time Series Forecasting

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