Research on Time Series Prediction Based on transformer
The article explores the performance of transformer structure in the field of time series prediction,discusses the current work and methods,and analyzes the direction of improvement.The improved transformer structure for long time series forecasting reduces computational complexity and time cost,while improving prediction accuracy.Then,univariate and multivariate predictions are made respectively and compared with different benchmark models.The experimental results show that the improved model based on transformer structure can achieve better results in time series prediction.