MLOW: Interpretable Low-Rank Frequency Magnitude Decomposition of Multiple Effects for Time Series Forecasting

MLOW: Interpretable Low-Rank Frequency Magnitude Decomposition of Multiple Effects for Time Series Forecasting explores A novel interpretable frequency-based decomposition method for time series forecasting that significantly improves existing models.. Commercial viability score: 7/10 in Time Series Forecasting.