z-logo
open-access-imgOpen Access
Machine Learning and Statistical Techniques for Daily Wind Energy Prediction
Author(s) -
Lasini Wickramasinghe,
Piyal Ekanayake,
Jeevani Jayasinghe
Publication year - 2022
Publication title -
gazi university journal of science
Language(s) - English
Resource type - Journals
ISSN - 2147-1762
DOI - 10.35378/gujs.961338
Subject(s) - wind power , backpropagation , wind speed , artificial neural network , mean squared error , pearson product moment correlation coefficient , statistics , support vector machine , correlation coefficient , linear regression , regression analysis , computer science , machine learning , artificial intelligence , mathematics , meteorology , engineering , geography , electrical engineering

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