Probabilistic energy forecasting using the nearest neighbors quantile filter and quantile regression
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DOI: 10.1016/j.ijforecast.2019.06.003
Abstract: Parametric quantile regression is a useful tool for obtaining probabilistic energy forecasts. Nonetheless, traditional quantile regressions may be complicated to obtain using complex data mining techniques (e.g., artificial neural networks), since they are trained using… read more here.
Keywords: probabilistic energy; quantile regression; energy; nearest neighbors ... See more keywords