Sentence examples for not only forecasting from inspiring English sources

Exact(1)

Basically, the CAFE is designed to consider not only forecasting errors but also costs occured by errors in aggregate production planning which is set up based on forecasts.

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The developed GFIPMIP model can not only forecast electric demands, but also reflect dynamic, interactive, and uncertain characteristics of the IEEM system in Beijing.

That bone-chilling apparition not only forecast the eventual tragedy but also had the effect of putting the film in its place: live actors asserted their flesh-and-blood presence.

After you make seven days of entries, Sunnycomb's algorithm will start delivering a personalized report that not only forecasts the weather, but how you will probably feel about it.

According to the traffic sent to the base station (BS) from the mobile station (MS), the ARCA scheme not only forecasts the traffic quantity of the MS but also finds the optimal ranging code allocation value for the MS to improve the transmission success rate next time.

"This winter was really disappointing". This week, the National Weather Service Climate Prediction Center published an El Niño advisory that not only forecast the end of the Pacific Ocean-warming phenomenon, but also warned that El Niño's drier flip side, La Niña, would replace it by the end of the year.

With the established model, we can not only forecast the specific growth rate given factor levels but also pick out the main factors which influence the response values significantly.

However, as we take into account recent developments by all of the major players, along with what is needed by Google to stay ahead of the pack, we can certainly not only predict, but forecast that Google will begin to take on the task of incorporating more machine intelligence into its products and services in many forms.

To date, the literature is moot in terms of statistical models designed not only to forecast attacks during terrorist campaigns, but to forecast emerging terrorist threats, and do so with a high degree of locational specificity: predicting not only when but from which country transnational terrorist attacks will emanate.

Nevertheless, for a successful participatory decision-making process, it is important not only to forecast stakeholders' reaction to policy change, but also to predict the outcome of an interaction process aimed at consensus building.

This program is highly user-friendly, and is designed not only to forecast intensities and purities for planning future experiments, but also for beam tuning during experiments where its results can be quickly compared to on-line data.

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