Wind speed forecasting in big data and machine learning: from presents, opportunities and future trends
Abstract
Wind speed forecasting is an exciting study because it covers the fields of climate and energy disciplines, where the most widely used research focus is forecasting. During the last decade, the use of wind speed forecasting analysis techniques has seen a significant change from the traditional statistical method to machine learning. in this article discusses publication trends from 1945 to the end of 2020 using co-occurences.
- Published
- 17 February 2021
- Volume
- 2021 (2021)
- License
- CC BY 3.0
Copyright © 2021 Hetty Rohayani, Harco Leslie Hendric Spits Warnars, Tuga Mauritsius, Edi Abdurrachman. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Cite this article
H. Rohayani, H. L. H. S. Warnars, T. Mauritsius, E. Abdurrachman, Wind speed forecasting in big data and machine learning: from presents, opportunities and future trends, Commun. Math. Biol. Neurosci. 2021 (2021), 16. https://doi.org/10.28919/cmbn/5220
BibTeX
@article{Rohayani2021,
author = {Rohayani, Hetty and Warnars, Harco Leslie Hendric Spits and Mauritsius, Tuga and Abdurrachman, Edi},
title = {Wind speed forecasting in big data and machine learning: from presents, opportunities and future trends},
journal = {Commun. Math. Biol. Neurosci.},
volume = {2021},
year = {2021},
pages = {16},
doi = {10.28919/cmbn/5220}
}