All systems operational
For Researchers For Publishers Login Register
Home Publications Journal of King Saud University – Science
Q1 2024

Short-term wind power prediction based on IBOA-AdaBoost-RVM

Yongliang Yuan · Qingkang Yang · Jianji Ren · Kunpeng Li · Zhenxi Wang · Yanan Li · Wu Zhao · Haiqing Liu
10.1016/j.jksus.2024.103550 402 Views 33 Citations
33
Citations
402
Views
Abstract not available for this publication.
Cite this Article (APA)
Yongliang, Y., Qingkang, Y., Jianji, R., Kunpeng, L., Zhenxi, W., Yanan, L., Wu, Z., Haiqing, L. (2024). Short-term wind power prediction based on IBOA-AdaBoost-RVM. Journal of King Saud University – Science. https://doi.org/10.1016/j.jksus.2024.103550
Related Papers
A parametrized approach to generalized fractional integral inequalities: Hermite–Hadamard and Maclau…
Abdelghani Lakhdari; Bandar Bin-Mohsin; Fahd Jarad; Hongyan Xu; Badreddine Mefta · 2024
20
cites
395
Modulatory effects of glutamic acid on growth, photosynthetic pigments, and stress responses in oliv…
Muhammad Hamzah Saleem; Sadia Zafar; Sadia Javed; Muhammad Anas; Temoor Ahmed; S · 2024
19
cites
400
Cloud spot instance price forecasting multi-headed models tuned using modified PSO
Mohamed Salb; Luka Jovanovic; Ali Elsadai; Nebojsa Bacanin; Vladimir Simic; Drag · 2024
17
cites
400
16
cites
401
Access
View Full Text via DOI
Published in
ISSN 1018-3647
Quartile Q1
AMS Score 100
Field Natural Sciences
Publisher King Saud University
Country 🇸🇦 Saudi Arabia
View Journal Profile →
Authors
Publication Details
Year 2024
Language English
Added 14 Jul 2026