Tootfinder

Channel, Trend and Periodic-Wise Representation Learning for Multivariate Long-term Time Series Forecasting
Zhangyao Song, Nanqing Jiang, Miaohong He, Xiaoyu Zhao, Tao Guo
https://arxiv.org/abs/2509.23583

Channel, Trend and Periodic-Wise Representation Learning for Multivariate Long-term Time Series Forecasting
Downsampling-based methods for time series forecasting have attracted increasing attention due to their superiority in capturing sequence trends. However, this approaches mainly capture dependencies within subsequences but neglect inter-subsequence and inter-channel interactions, which limits forecasting accuracy. To address these limitations, we propose CTPNet, a novel framework that explicitly learns representations from three perspectives: i) inter-channel dependencies, captured by a tempora…