The phrase "forecast date" is correct and can be used in written English.
You can use it to describe the projected date when a certain event or action is expected to occur. For example, "The forecast date of the next board meeting is Friday, October 4th."
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.
We align forecasts with news articles when the forecast date matches exactly with the event date and the forecast location is within 100 km of the event location.
Step 4: Finally, the model (H(X_{0} )) is used to forecast the wind power output of the final forecast date τ.
The procedure of the proposed modeling method can be summarized as follows: ① combining multi-step approach and ARMA model to build basic forecasting model (weak forecasting capacity); ② using boosting algorithm to combine these weak forecasting models into an accurate assembled model H by a weighted vote process; ③ applying the model H to forecast the wind power output of forecast date τ.
They considered the values of the sea surface temperature disturbance in the Nino3.4 region and the Southern Oscillation Index hemisphere equator (ESOI) of the previous 15 months until the forecast date to analyse and pick out 5 months with the highest correlation of each aforementioned factor for inclusion in the forecast equation.
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.
Reliability results are similar between the non-DA and DA tests and the DREAM and DREAM-DA have better reliability than the RFC and RFC-DA for forecast dates February 1 and later.
As projections close in on their forecast dates, they still tend to under-predict actual capacity additions.
The current developments involving the European debt crisis, downgrading of U.S. government debt by S&P and the volatility in the equity markets are tracking to a high degree of exactitude my original forecast, dating from 2009.
Nor can the administration use its all-purpose excuse: all of these forecasts date from after 9/11.
Alok also discovers that public complaints about weather forecasts date back to the very first forecasts.
