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Development of wind energy prediction models using statistical, machine learning and hybrid techniques: a case study Cover

Development of wind energy prediction models using statistical, machine learning and hybrid techniques: a case study

Journal of the National Science Foundation of Sri Lanka
Volume 50 (2022): Issue 2
By: ,   and    
Open Access
|Sep 2022
Authors

Authors

P. Ekanayake

piyalekanayake@wyb.ac.lk

Wayamba University of Sri Lanka

O. Panahatipola

pmoshadhi@gmail.com

Wayamba University of Sri Lanka

J. Jayasinghe

jeevani@wyb.ac.lk

Wayamba University of Sri Lanka
DOI: https://doi.org/10.4038/jnsfsr.v50i2.10591 | Journal eISSN: 2362-0161
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Language: English
Page range: 503 - 517
Published on: Sep 9, 2022
Published by: National Science Foundation of Sri Lanka
In partnership with: Paradigm Publishing Services
Keywords:
Correlation,
neural networks,
regression analysis,
time series analysis,
wind energy

© 2022 P. Ekanayake, O. Panahatipola, J. Jayasinghe, published by National Science Foundation of Sri Lanka
This work is licensed under the Creative Commons License.

Volume 50 (2022): Issue 2
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