TempFusionNet-VMD: A VMD-hybrid deep learning framework for multi-step air temperature forecasting in the moroccan sahara
The experimental results show that the model provides consistent improvements in forecasting accuracy across the tested configurations, and suggest that combining signal decomposition with hybrid deep learning architectures can be beneficial for temperature forecasting in the considered settings.