A short-term wind power forecasting method based on hybrid-kernel least-squares support vector machine

DOI10.1007/978-3-030-62147-6_15OpenAlexW3151205498MaRDI QIDQ2095985

Yicheng Zhou, Min Ding, Min Wu, Yosuke Nakanishi, Ryuichi Yokoyama

Publication date: 16 November 2022

Full work available at URL: https://doi.org/10.1007/978-3-030-62147-6_15

zbMATH Keywords

amplitude-frequency characteristicleast-squares support vector machinesshort-term wind power forecastingtime series forecasting model

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Complex system fault diagnosis based on a fuzzy robust wavelet support vector classifier and an adaptive Gaussian particle swarm optimization
• Copulas-based time series combined forecasters
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