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Environmental Sciences Proceedings
Volume 27
Issue 1
10.3390/ecas2023-15160
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Environmental Sciences Proceedings concluded publication with Volume 29, Issue 1. It has been succeeded by Environmental and Earth Sciences Proceedings, which has a revised scope and a new editorial direction and is now published here. To preserve historical data integrity, the information on this webpage is retained but will no longer be updated.
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Proceeding Paper

Verification of the Short-Term Forecast of the Wind Speed for the Gibara II Wind Farm according to the Prevailing Synoptic Situation Types †

by
Dayanis María Patiño Avila
1,*,
Alfredo Roque Rodríguez
1,
Edgardo Soler Torres
2,
Arlén Sánchez Rodríguez
3,
Thalía Gómez Lino
3 and
Rosalba Olivera Bolaños
3
1
Atmospheric Physics Center, Institute of Meteorology, Havana 11700, Cuba
2
Meteorological Center, Island of Youth, Havana 11700, Cuba
3
Higher Institute of Technologies and Applied Sciences, Havana 11700, Cuba
*
Author to whom correspondence should be addressed.
†
Presented at the 6th International Electronic Conference on Atmospheric Sciences, 15–30 October 2023; Available online: https://ecas2023.sciforum.net/.
Environ. Sci. Proc. 2023, 27(1), 25; https://doi.org/10.3390/ecas2023-15160
Published: 19 October 2023
(This article belongs to the Proceedings of The 6th International Electronic Conference on Atmospheric Sciences)
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Abstract

In Cuba, short-term predictions have been developed for wind speed in the Gibara wind farms. These predictions present an mean absolute error (MAE) that sometimes exceeds 3 m/s. This study aims to verify the wind forecast generated by SisPI using the Synoptic Situation Types Catalog (TSS), a form of wind speed observation data provided by the anemometers installed in the wind turbine. The study period spanned from May 2020 to April 2021. For the evaluation, the metrics root mean square error (RMSE) and MAE were used, and the analysis was made in the rainy and dry seasons via the methodology developed by Patiño (2023). The results indicate that subtype 3 (extended undisturbed anticyclonic flow) had the highest frequency of cases between very good and good in both seasonal periods. Subtype 19 (migratory anticyclone in an advanced state of transformation) was the system that produced the worst results in the dry season, with the largest number of cases of bad wind speed forecasts. The results of the statistical bias (BIAS) and Pearson’s Correlation Coefficient (R) were very favorable.
Keywords: wind energy; short-term forecast; wind speed; types of synoptic situations wind energy; short-term forecast; wind speed; types of synoptic situations

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MDPI and ACS Style

Avila, D.M.P.; Rodríguez, A.R.; Torres, E.S.; Rodríguez, A.S.; Lino, T.G.; Bolaños, R.O. Verification of the Short-Term Forecast of the Wind Speed for the Gibara II Wind Farm according to the Prevailing Synoptic Situation Types. Environ. Sci. Proc. 2023, 27, 25. https://doi.org/10.3390/ecas2023-15160

AMA Style

Avila DMP, Rodríguez AR, Torres ES, Rodríguez AS, Lino TG, Bolaños RO. Verification of the Short-Term Forecast of the Wind Speed for the Gibara II Wind Farm according to the Prevailing Synoptic Situation Types. Environmental Sciences Proceedings. 2023; 27(1):25. https://doi.org/10.3390/ecas2023-15160

Chicago/Turabian Style

Avila, Dayanis María Patiño, Alfredo Roque Rodríguez, Edgardo Soler Torres, Arlén Sánchez Rodríguez, Thalía Gómez Lino, and Rosalba Olivera Bolaños. 2023. "Verification of the Short-Term Forecast of the Wind Speed for the Gibara II Wind Farm according to the Prevailing Synoptic Situation Types" Environmental Sciences Proceedings 27, no. 1: 25. https://doi.org/10.3390/ecas2023-15160

APA Style

Avila, D. M. P., Rodríguez, A. R., Torres, E. S., Rodríguez, A. S., Lino, T. G., & Bolaños, R. O. (2023). Verification of the Short-Term Forecast of the Wind Speed for the Gibara II Wind Farm according to the Prevailing Synoptic Situation Types. Environmental Sciences Proceedings, 27(1), 25. https://doi.org/10.3390/ecas2023-15160

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