Wind power prediction based on PSO-Kalman

Because of its clean and green, wind power is broadly used all over the world. Wind power is random and unstable, so wind power integration will inevitably bring great impact to power system. Accurate wind power prediction can effectively alleviate the impact caused by wind power uncertainty. In ord...

Celý popis

Podrobná bibliografia

Vydané v:	Energy reports Ročník 8; s. 958 - 968
Hlavní autori:	Li, Daoqing, Yu, Xiaodong, Liu, Shulin, Dong, Xia, Zang, Hongzhi, Xu, Rui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.07.2022 Elsevier
Predmet:	Kalman filter algorithm Non-parametric kernel density estimation Particle swarm optimization algorithm (PSO) Wind power prediction Non-parametric kernel density estimation Particle swarm optimization algorithm (PSO) Wind power prediction Kalman filter algorithm
ISSN:	2352-4847, 2352-4847
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!