Sentence examples for lead forecasts from inspiring English sources

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Second, faulty assumptions can quickly lead forecasts astray.Studies of TPP illustrate these strengths and weaknesses.

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Mr. Coen will become an adviser to Magna, Mediabrands is to announce on Monday, as he passes his lead forecasting role to Brian Wieser, a senior vice president at Magna who was being groomed for a larger role at the agency.

Whereas old-school CRM systems stick to sales lead forecasting and management platforms that require users to BCC and CC messages, duplicate activities to link them to contacts, etc., Nimble offered the ability to automatically connect your conversations and activities — emails, social conversations, and calendars — to the people you're having them with.

Model performance was ranked DLBM-DWR > DLBM-VCR > MLR > ANN for both annual hydrograph modeling and 1-, 2-, and 3-day lead forecasting, indicating that the DWR and VCR algorithms, operating in a DLBM framework, represent promising new methods for both annual hydrograph modeling and short-term stream flow forecasting.

This persistent teleconnected region may be potentially useful for long-lead forecasting of ASF.

It is illustrated that the confidence intervals based on BANNs are capable of quantifying the parametric uncertainty for short as well as for long lead time forecasts.

A comparison of the magnitude of hourly-cumulated errors of 10-min lead time forecasts for diffuse and global UVI highlighted ELM model's greater accuracy compared to MARS, M5 Model Tree or Pro6UV models.

The proposed model can significantly improve hourly typhoon rainfall forecasting, especially for the long lead time forecasting.

There may be times at which different candidates lead the forecast and the now-cast.

And those hours are being used up already, as the high price of natural gas makes burning cheaper coal attractive now.This looming double whammy has led to forecasts of shortages as the amount of spare capacity in the system drops.

For each lead time forecasting, the proposed model can subjectively determine the optimal combination of input variables including rainfall and meteorological parameters.

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