Wind Speed Interval Prediction Based on the Hybrid Ensemble Model With Biased Convex Cost Function

Wind Speed Interval Prediction Based on the Hybrid Ensemble Model With Biased Convex Cost Function

This study proposes a combination interval prediction based hybrid ensemble (CIPE) model for short-term wind speed prediction. The combination interval prediction (CIP) model employs the extreme learning machine (ELM) as the predictor with a biased convex cost function. To relieve the heavy burden o...

Full description

Bibliographic Details
Main Authors: Huan Long, Runhao Geng, Chen Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Energy Research
Subjects:
interval prediction
wind speed prediction
biased convex cost function
ensemble learning
mixed integer programming
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2022.954274/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2022.954274/full

Similar Items