Using Weather Predictions in a Grid for Efficient Regional Wind Power Density Forecasting

Sanchez I.; Lobo M.G. · Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020 (2020) · DOI: 10.1109/intercon50315.2020.9220236

Resumen

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.

Instituciones: Universidad de Piura