Patch-Level Tokenization with CNN Encoders and Attention for Improved Transformer Time-Series Forecasting

Transformer-based models have shown strong performance in time-series forecasting by leveraging self-attention to model long-range temporal dependencies. However, their effectiveness depends critically on the quality and structure of input representations derived from raw multivariate time-series da