Improving Time Series Forecasting by Addressing Imbalanced Data through Synthetic Sample Generation

Framing time series forecasting problems involving multiple time series as an imbalanced learning task, and using resampling strategies to generate synthetic samples for underrepresented time series to improve forecasting accuracy.