Research Article

Simplified-Boost Reinforced Model-Based Complex Wind Signal Forecasting

Algorithm 1

The simplified-boost reinforced forecasting.
Input: subtraining sets
For
     (1) Train reinforced forecasting model based on the subtraining set, build a regression model , and pass every member of the subtraining set through this machine to obtain a prediction .
     (2) Calculate a loss for each training sample and an average loss .
     (3) Calculate the estimator weight: .
Normalize the estimator weight: .
Output: cumulative prediction