TRAINING A FUZZY SYSTEM IN WIND CLIMATOLOGIES DOWNSCALING

A. Agüera, J. J. G. de la Rosa, J. G. Ramiro, J. C. Palomares

2010

Abstract

The wind climate measured in a point is usually described as the result of a regional wind climate forced by local effects derived from topography, roughness and obstacles in the surrounding area. This paper presents a method that allows to use fuzzy logic to generate the local wind conditions caused by these geographic elements. The fuzzy systems proposed in this work are specifically designed to modify a regional wind frequency rose attending to the terrain slopes in each direction. In order to optimize these fuzzy systems, Genetic Algorithms will act improving an initial population and, eventually, selecting the one which produce the best aproximation to the real measurements.

Paper Citation

in Harvard Style

Agüera A., J. G. de la Rosa J., G. Ramiro J. and C. Palomares J. (2010). TRAINING A FUZZY SYSTEM IN WIND CLIMATOLOGIES DOWNSCALING . In Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8425-05-8, pages 238-243. DOI: 10.5220/0002899402380243

in Bibtex Style

@conference{iceis10,
author={A. Agüera and J. J. G. de la Rosa and J. G. Ramiro and J. C. Palomares},
title={TRAINING A FUZZY SYSTEM IN WIND CLIMATOLOGIES DOWNSCALING},
booktitle={Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2010},
pages={238-243},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002899402380243},
isbn={978-989-8425-05-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - TRAINING A FUZZY SYSTEM IN WIND CLIMATOLOGIES DOWNSCALING
SN - 978-989-8425-05-8
AU - Agüera A.
AU - J. G. de la Rosa J.
AU - G. Ramiro J.
AU - C. Palomares J.
PY - 2010
SP - 238
EP - 243
DO - 10.5220/0002899402380243