Long-range time series forecasting is usually based on one of two existing forecasting
strategies: Direct Forecasting and Iterative Forecasting, where the former provides low bias,
high variance forecasts and the later leads to low variance, high bias forecasts. In this paper,
we propose a new forecasting strategy called Generative Forecasting (GenF), which
generates synthetic data for the next few time steps and then makes long-range forecasts
based on generated and observed data. We theoretically prove that GenF is able to better …

Long-range time series forecasting is usually based on one of two existing forecasting
strategies: Direct Forecasting and Iterative Forecasting, where the former provides low bias,
high variance forecasts and the latter leads to low variance, high bias forecasts. In this
paper, we propose a new forecasting strategy called Generative Forecasting (GenF), which
generates synthetic data for the next few time steps and then makes long-range forecasts
based on generated and observed data. We theoretically prove that GenF is able to better …