The phrase "applications forecast" is correct and usable in written English.
It can be used in contexts related to predicting future trends or outcomes regarding applications, such as software or job applications.
Example: "The applications forecast for the upcoming quarter indicates a significant increase in demand for mobile app development."
Alternatives: "application projections" or "app forecasts".
The integrated model system consist of a weather forecast model and a series of air pollution models, covering a wide range of scales (European scale, urban background scale and street scale in cities) and applications (forecasting, monitoring and scenarios).
This topic is regarded as a powerful application forecast and marketable significance.
A slump in applications was forecast last year as thousands of would-be students gave up gap years to start university courses in 2011 to avoid paying higher fees when they were introduced this September.
In the case of various solar energy applications, accurate forecast of solar irradiation is increasingly required in recent years.
According to the literature, these mentioned models have not been entirely accurate in their applications to forecasting industrial accident occurrences.
This thesis outlines the common methods used in text feature extraction first, and then expands frequently used deep learning methods in text feature extraction and its applications, and forecasts the application of deep learning in feature extraction.
A brief sketch of NNs is followed by a review of their applications in forecasting, classification, distribution and fisheries management since 1978.
The method is also used in an empirical application to forecast eight key US macroeconomic time series over various horizons, where the components are constructed from a large set of predictors.
Furthermore, he shows the increasing challenges of RES integration in Germany, especially the network extension, the daily operation challenges as redispatch application, RES forecast failing, RES curtailment handling, the lack of RES observability and controllability, the nuclear phase-out caused effects, and the energy market challenges as missing incentives for flexibility products.
To our knowledge, these analyses are the first application of forecast verification methods to a predictive disease transmission model.
