DRAformer: Differentially Reconstructed Attention Transformer for Time-Series Forecasting

no code implementations • 11 Jun 2022 • Benhan Li, Shengdong Du, Tianrui Li, Jie Hu, Zhen Jia

Time-series forecasting plays an important role in many real-world scenarios, such as equipment life cycle forecasting, weather forecasting, and traffic flow forecasting.

Time Series Time Series Forecasting +1

A Differential Attention Fusion Model Based on Transformer for Time Series Forecasting

no code implementations • 23 Feb 2022 • Benhan Li, Shengdong Du, Tianrui Li

Time series forecasting is widely used in the fields of equipment life cycle forecasting, weather forecasting, traffic flow forecasting, and other fields.

Time Series Time Series Forecasting +1