z-logo
open-access-imgOpen Access
Study on the Prediction of Wind Power Outputs using Curvilinear Regression
Author(s) -
Young-Do Choy,
Solyoung Jung,
Beomjun Park,
Jin Hur,
Sang ho Park,
Gi gab Yoon
Publication year - 2016
Publication title -
kepco journal on electric power and energy
Language(s) - English
Resource type - Journals
eISSN - 2466-0124
pISSN - 2465-8111
DOI - 10.18770/kepco.2016.02.04.627
Subject(s) - intermittency , wind power , curvilinear coordinates , wind power forecasting , power (physics) , computer science , wind speed , regression analysis , regression , meteorology , environmental science , econometrics , electric power system , mathematics , engineering , statistics , geography , machine learning , electrical engineering , geometry , physics , quantum mechanics , turbulence

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom