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Probabilistic electricity price forecasting models by aggregation of competitive predictors

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Figure

Figure 4. Hourly mean electricity generation, demand and real price of electricity in April 2016
Figure 6 shows that the daily mean error with the highest frequency in the first week is around  5 (€/MWh), representing about 25% of the average price during the competition period
Figure 8. Values of MAE g (D + 1) to MAE g (D + 5), and MAPE g (D + 1) to MAPE g (D + 5), for predictors  P1 to P9
Table 1. Results of PPFMCP model 1.
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