Wind and solar resource assessment and prediction using Artificial Neural Network and semi-empirical model: case study of the Colombian Caribbean region.
- DOI
- 10.1016/j.heliyon.2021.e07959
- Published
- 2021 Sep
- Container
- Heliyon
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.heliyon.2021.e07959,
title = {Wind and solar resource assessment and prediction using Artificial Neural Network and semi-empirical model: case study of the Colombian Caribbean region.},
author = {Silvera OC and Chamorro MV and Ochoa GV},
year = {2021},
journal = {Heliyon},
doi = {10.1016/j.heliyon.2021.e07959},
url = {https://doi.org/10.1016/j.heliyon.2021.e07959}
}RIS
TY - JOUR TI - Wind and solar resource assessment and prediction using Artificial Neural Network and semi-empirical model: case study of the Colombian Caribbean region. AU - Silvera OC AU - Chamorro MV AU - Ochoa GV PY - 2021 JO - Heliyon DO - 10.1016/j.heliyon.2021.e07959 UR - https://doi.org/10.1016/j.heliyon.2021.e07959 ER -
APA
OC, S., MV, C., & GV, O. (2021). Wind and solar resource assessment and prediction using Artificial Neural Network and semi-empirical model: case study of the Colombian Caribbean region.. Heliyon. https://doi.org/10.1016/j.heliyon.2021.e07959
Source records
- pubmed · retrieved 2026-09-26T20:28:16.881Z