Sentence examples for different types of forecasts from inspiring English sources

This allows the comparison between different types of forecasts according to their value in terms of energy, spillage and storage in a reservoir.

Table 7 below illustrates the frames based on these frameworks.5 Table 7 The metaphorical frames likened to different types of forecasts Metaphorical frame Type of forecast [58] Privacy as the dodo Primary Privacy as the hemline Historical Privacy as savings Historical Privacy as foundations of our home Secondary.

A new conceptual framework for designing price forecasting approaches can be used to develop many different types of price forecasting models, while enhancing decision making at every level of the organization that deals with market prices.

Here, we generalize the concept of differential probability gain to combine different types of earthquake forecast models.

There are different types of earthquake forecast models, all of which are related to specific sets of observations (e.g., catalogs of seismicity, fault maps, strain rates, and seismic precursors).

The results execute the applicability of our method for different types of data, the autoregressive nature of forecasting, and show high prediction power for both SPR and P. vivax deaths, where the one-lag SPR values plays an influential role and proves useful for better prediction.

The simulation results show that the proposed predication model can successfully recognize different types of flow oscillations and accurately forecast the trend of monitored plant variables.

A correlation between the date of the temperature rising over 10 °C and the sum of temperatures was identified (r=0.80) and a regression equation to forecast different types of droughts was designed.

To investigate the influence of typhoon characteristics on flood forecasting, four different types of model inputs are designed to yield 1- to 6-h ahead forecasts of runoff.

The article presents various aspects of forecasting deformation for different types of linear objects.

Meanwhile, increasing worldwide demand for different types of energy requires development of advanced intelligent forecasting tools to provide a basis from which decisions and plans can be made.