The phrase "application of forecasting" is correct and usable in written English.
It can be used when discussing the practical use or implementation of forecasting methods in various fields such as business, finance, or weather prediction.
Example: "The application of forecasting techniques has significantly improved our ability to predict market trends and make informed decisions."
Alternatives: "use of forecasting" or "implementation of forecasting".
Effectiveness of the proposed design of IT2FLS is demonstrated with the application of forecasting nonlinear and chaotic data sets.
"This is the first application of forecasting wind in real-time conditions on a broad scale," said Bob Putnam, general manager of TrueWind.
To this end, the present contribution offers a description of a Big Data forecasting concept that utilizes the distributed computing framework Apache Spark1 for the creation and application of forecasting models.
To our knowledge, these analyses are the first application of forecast verification methods to a predictive disease transmission model.
In practice, forecasters look at forecasts a few days in advance and weather observations in just the previous days, so additional analyses, beyond the scope of this paper, would be required to evaluate the application of forecast data as heat alert triggers.
Data assimilation (DA) has facilitated the design and application of hydrological forecasting systems.
Data assimilation (DA) has emerged as a valuable tool for the design and application of streamflow forecasting systems.
Allan's understanding of the physics of eddies and his novel application of quantitative forecasting methods were highly valued by the U.S. Navy in its operational work relating to submarine detection.
The application of monitoring, forecasting, and controlling methods against rockburst should be based on the analysis of the rockburst mechanism.
The present article describes a concept for the creation and application of energy forecasting models in a distributed environment.
Even though the present contribution showed certain benefits of utilizing Spark on a computer cluster for the creation and application of energy forecasting models, there is still a number of questions that need to be answered in future works.
