CTDFormer: controllable trend decomposition with dual-seasonal attention for multivariate time series forecasting
Time series forecasting refers to constructing models based on historical observations to predict future values or trends. This method is widely applied in fields such as marine environmental monitoring, meteorological prediction, and power load forecasting. To address the issue of unstable trend prediction in multivar...