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Exact(1)
The first is to demonstrate the improvement of the forecasts, while the second is used to compare the accuracies of the forecasts with previous IGRF effort (e.g. Mandea and Macmillan, 2000; Macmillan and Maus, 2005).
Similar(59)
An improvement of the forecast accuracy can be expected.
So the improvement of the forecasting accuracy is mainly from the weekday public holiday.
The results obtained confirmed an adequate approximation of the actual wind speed series and a significant improvement of the forecasting accuracy of the proposed model.
Experiments reported in [140] indicate that the improvement of the forecasting performance can be achieved with the help of a psychological model.
The recent development of empirical models using pattern recognition techniques and neural networks (Nakamura et al. 2007, 2009; Wang et al. 2013; Zhao et al. 2014) allowed for a significant improvement of the forecast quality in comparison with the IRI model, as they are easy to implement automatically and flexible enough.
It is confirmed that ANFIS could be an appropriate method for an improvement of the forecasting capability of an atmospheric dispersion model in the case of a radiological emergency, judging from the higher correlation coefficients between the measured and the assimilated ones rather than a linear regression filter.
A skill score greater than 0 demonstrates improvement of the forecast relative to climatology; a skill score of 1 is a perfect forecast.
Sensitivity analysis of four scenarios reveals that more improvements of the forecasting accuracy of the ANN model can be observed by including both known and unknown teleconnection patterns at both time scales, although such improvements are not salient.
The results obtained prove that accurate power prediction can be reached if the local environmental conditions are credibly estimated while the use of the power output in previous time steps do not contribute significantly to the improvement of the final forecast.
There was a significant improvement of the WRF model forecasts when adjusted by the ANNs, yielding lower bias and RMSE, and an increase in the correlation coefficient.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com