Sentence examples for forecasting quality from inspiring English sources

Nevertheless, forecasting quality inevitably depends on the optimization algorithm that each application employs.

The basic measure of forecasting quality, Root Mean Squared Error of Forecast (RMSEF) was also computed, which provided an average measurement of the amount by which the model over- or underestimated the %MRSA.

Our empirical validation demonstrates strong dependency between topic correlations and the forecasting quality.

In fact, it generally exhibits superior short and medium data length forecasting quality over all models employed for comparative analysis.

The forecast quality wherein depends on the number of measured data from various platforms specified along model boundary, which is undoubtedly very expensive.

Because forecast quality degrades with lead time, we perform a sensitivity analysis to determine which planning horizon results in the best performance.

There is a problem of setting criteria of space weather forecast quality that allows estimation of the economic effectiveness of forecasts in comparison with other methods for real users.

Being system oriented and forecast quality dependent, the following steps are proposed for threshold definition: 1) Generation of daily-based load curves obtained from the application of very short-term load forecasts for multiple day types (week day, weekend, and holiday) and seasons (spring, summer, autumn, and winter).

Based on examination of various verification metrics, we determine that a bias corrector that uses a linearly-weighted combination of past errors calculated over a three-day moving window is able to significantly improve forecast quality for the flashy case study watershed in southwestern British Columbia, Canada.

The impacts of weather forecast quality on mortality risk depended on forecast product and forecast time frames.

The comparative analysis of weather forecasts presented here points out the challenge in issuing heat alerts based purely on numerical or statistical forecast models given that forecast quality varies with forecast products and issuing time frames.