Sentence examples for define the forecast from inspiring English sources

Step 1: Define the forecast date τ and let parameter "training target date" equal τ − 1 (measured wind power (Y_{0})), considering the existence of wind speed persistence.

Open image in new window Fig. 1 Logic structure of proposed method for wind power forecast Step 1: Define the forecast date τ and let parameter "training target date" equal τ − 1 (measured wind power (Y_{0})), considering the existence of wind speed persistence.

The use of model ensemble forecasts since the 1990s helps to define the forecast uncertainty and extend weather forecasting farther into the future than otherwise possible.

Starting in the 1990s, model ensemble forecasts have been used to help define the forecast uncertainty and to extend the window in which numerical weather forecasting is viable farther into the future than otherwise possible.

Starting in 1992 with ensemble forecasts prepared by the European Centre for Medium-Range Weather Forecasts (ECMWF) and the National Centers for Environmental Prediction, model ensemble forecasts have been used to help define the forecast uncertainty and to extend the window in which numerical weather forecasting is viable farther into the future than otherwise possible.

The report added that "the strong grip of the national economic slowdown is defining the forecast for the second half of the year".

that will define the next 12 months, forecasted by top experts in each field.

At LPL Financial, he establishes market forecasts, helps define the tactical allocation used to manage $77 billion in assets and authors several flagship research publications, including weekly market reports and white papers on investment decision making.

The need of a more accurate forecast defined the International Technology Roadmap for Semiconductors (ITRS), which has been predicting and driving the pace of semiconductor technology at the same time.

In Fig. 1 we show the map of seismicity together with the boundaries of the forecasting region; this area defines the CSEP natural laboratory and it is used to compare and test the submitted models.

This paper explores the state-of-the-art application of AI in stream-flow forecasting, focusing on defining the data-driven of AI, the advantages of complementary models, as well as the literature and their possible future application in modeling and forecasting stream-flow.