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In this section, we compare the global horizontal irradiance (GHI) forecast based on networks with a persistence forecast (as shown in Fig. 2).
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Basing policy decisions on such a wide range of forecasts as shown in Fig. 1 is of course difficult.
And the original load curve of the power system can be forecasted as shown in Fig. 1, with peak load on the daytime and valley load before dawn.
Overall, the GHI neural network forecast model has strong regression values in comparison to GHI persistence forecast model (as shown in Fig. 3) [20].
In the other two cases, the ( P_{f}^{text{Baseline}} ) is calculated by adding or subtracting 5% random forecast errors from the perfect-forecast ( P_{f}^{text{Baseline}} ) to represent the over-forecast and the under-forecast cases, as shown in Fig. 14.
TEEN (Threshold Sensitive Energy Efficient Sensor Network Protocol) [14] adopted a sink searching and message forecast path as shown in Fig. 2.
In these figures, colours represent the resource price, and different markers represent forecast accuracy as shown in the legend in Figure 9. Figure 3 Users' price reduction against the providers profit increase using standard forwards for growing market profile.
The number of switches of the under- and over-forecast cases is also too high compared with the perfect-forecast case, as shown in Fig. 17.
As can be seen from Table 4, the best score is obtained by the e-kmf® model in the first forecasting week, with a worsening of the performance between the 5th and 8th forecasting week as shown in Table 5 and Figure 3 as well.
After the training stage, we start the forecasting stage as shown in Fig. 2 where chunks come as a stream.
Especially, due to the application of MS approach, the proposed method (blue line) tracks the real data better than the benchmark models (green & yellow lines) in the tail of each forecasting series, as shown in Fig. 2.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com