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Open image in new window Fig. 4 CCF values between 1-h-ahead forecast error series and error series from 2-h-ahead to 48-h-ahead.
Figure 4 describes the CCF values between the 1-h-ahead forecast error series and the forecast error series from 2-h-ahead to 48-h-ahead.
Open image in new window Fig. 5 CCF values between 1-h-ahead forecast error series and all the forecast error series of another wind farm.
Residual error series were obtained, respectively, via residual error generator designed using CPRBF network, and each variance of residual error series was calculated correspondingly.
Open image in new window Fig. 3 ACF values of SVM forecast error series.
Therefore, there is no significant auto-correlation in the error series of these regressions.
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The event was part of a "Trials and Errors" series, co-sponsored by Pace Law School and the Forum on Law, Culture & Society at Fordham Law, that examines America's most controversial cases.
In Fig. 4, we compared the multipath-induced error time series with the GPS/SM residual time series from the previous section.
It was a classic organizational error: a series of small slip-ups that cascaded into an important mistake.
Odd decisions and unusual plays dotted the game from both sides, so it was not a surprise that an error — a series of them, really — turned out to be the difference.
So, both these two methods can improve the SNR of residual error time series effectively.
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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