AutoPQ converts point forecasts into quantile forecasts with a conditional invertible neural network and automatically tunes both the uncertainty width and the point forecaster, beating six baseline methods on six smart grid datasets while reporting electricity consumption.
Loss- customised probabilistic energy time series fore- casts using automated hyperparameter optimisation,
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AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability
AutoPQ converts point forecasts into quantile forecasts with a conditional invertible neural network and automatically tunes both the uncertainty width and the point forecaster, beating six baseline methods on six smart grid datasets while reporting electricity consumption.