Revisiting the efficacy of signal decomposition in AI-based time series prediction
Revisiting the efficacy of signal decomposition in AI-based time series prediction
Time series prediction is a fundamental problem in scientific exploration and artificial intelligence (AI) technologies have substantially bolstered its efficiency and accuracy. A well-established paradigm in AI-driven time series prediction is injecting physical knowledge into neural networks through signal decomposition methods, and sustaining progress in numerous scenarios has been reported. …