Application of fuzzy multiplexing of learning Gaussian processes for the interval forecasting of wind speed
(2019)
Journal Article
Alamaniotis, M., & Karagiannis, G. (2020). Application of fuzzy multiplexing of learning Gaussian processes for the interval forecasting of wind speed. IET Renewable Power Generation, 14(1), 100-109. https://doi.org/10.1049/iet-rpg.2019.0538
Robust forecasting of wind speed values is a key element to effectively accommodate renewable generation from wind in smart power systems. However, the stochastic nature of wind and the uncertainties associated with it impose high challenge in its fo... Read More about Application of fuzzy multiplexing of learning Gaussian processes for the interval forecasting of wind speed.