Open access
2026
ARIMA-Transformer-Based Fusion Framework for Enhanced Forecasting of Time-Series Sensor Data
Time-series forecasting supports data-driven decision-making in various fields by estimating future values from historical observations. Multivariate time-series data contain both linear and nonlinear patterns, making their effective modeling challenging. However, existing ARIMA–Transformer fusion methods often rely on...
Min-Seon Chae, Tae-Hyoung Park
· IEEE Access · 0 citations