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cs.LG2024
NBMLSS: probabilistic forecasting of electricity prices via Neural Basis Models for Location Scale and Shape
Alessandro Brusaferri, Danial Ramin, Andrea Ballarino
Forecasters using flexible neural networks (NN) in multi-horizon distributional regression setups often struggle to gain detailed insights into the underlying mechanisms that lead…
cs.LG2024
On-line conformalized neural networks ensembles for probabilistic forecasting of day-ahead electricity prices
Alessandro Brusaferri, Andrea Ballarino, Luigi Grossi +1
Probabilistic electricity price forecasting (PEPF) is subject of increasing interest, following the demand for proper quantification of prediction uncertainty, to support the opera…