Sentence examples for forecasting structure from inspiring English sources

This method maybe forecast ramp events successfully, but its lack of forecasting structure will make it undesirable for establishing models in future control applications, such as dispatching or unit commitment issues.

Although Gaussian distribution has been the default Copula choice in numerous studies for practical reasons, its appropriateness for wind power forecasting dependent structure has not been rigorously investigated.

Therefore, we should be rethink the forecasting model structure when the system changes.

The current and prospective (forecasted) GVC structure was identified for these case studies in relevant industries, together with Russia's current and prospective places in the value chains.

Models applying the LC predictor structure forecast stronger improvements for British than for Danish women.

Results show that companies adopting a structured forecasting process can improve their operational performances not simply because forecast accuracy increases.

Proposed deterministic approach is believed to stimulate development of the non-stochastic mathematical and physical methods in the analysis and forecast of spatial structure of geochemical fields.

Attention is here paid on three factors that characterize the forecasting process: whether structured techniques are adopted, whether information from different sources is collected to elaborate forecasts, and the extent to which forecasting is used to support decision-making processes.

To conduct more realistic simulations of crustal deformation and forecasting, the viscoelastic crustal structure model presented in this paper needs to be next examined according to items (i) and (ii) below.

VALs range in their use of colours, words, symbols, and numbers; inclusion of forecasting or predictive language; structure; number of levels; weighting towards unrest vs. eruptions; and the level of scientific jargon used.

Because of the highly variable forecast errors of wind power generation, a thorough uncertainty model describing both the predictive distribution and dependent structure of forecast errors is essential.