Title
Using Weather Predictions in a Grid for Efficient Regional Wind Power Density Forecasting
Date Issued
01 September 2020
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
This article describes an efficient method to obtain the predictive distribution for a given regional wind power prediction. Based on the idea that similar weather situations in the region will provide similar uncertainties, we propose to condition the predictive density to the vector of wind speed predictions for some geographical coordinates spread over the region.
Language
English
OCDE Knowledge area
Meteorología y ciencias atmosféricas
Scopus EID
2-s2.0-85095433265
ISBN
9781728193779
Resource of which it is part
Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
ISBN of the container
978-172819377-9
Sources of information: Directorio de Producción Científica Scopus