Inverting the Transformer structure enhances time series forecasting by capturing multivariate correlations and improving series representations.
The author proposes iTransformer as an inverted structure of Transformer, focusing on capturing multivariate correlations and learning series representations efficiently. Experimentally, iTransformer achieves state-of-the-art performance in time series forecasting.