干旱区生态环境知识资源中心(Arid): Multivariate short-term wind speed prediction based on PSO-VMD-SE-ICEEMDAN two-stage decomposition and Att-S2S

Arid

DOI	10.1016/j.energy.2024.132228
	Multivariate short-term wind speed prediction based on PSO-VMD-SE-ICEEMDAN two-stage decomposition and Att-S2S
	Sun, Xiaoying; Liu, Haizhong
通讯作者	Liu, HZ
来源期刊	ENERGY
ISSN	0360-5442
EISSN	1873-6785
出版年	2024
卷号	305
英文摘要	To counter the challenges posed by the unpredictability of wind velocities on wind energy production, a wind speed prediction model combining chaotic mapping-based particle swarm optimization with variational modal decomposition (CPSO-VMD), sample entropy (SE), improved completely integrated empirical modal decomposition with adaptive noise (ICEEMDAN) two-layer decomposition, and attention mechanism-based sequence to sequence (Att-S2S) method is proposed. Firstly, the Lasso method is employed to filter the features that significantly contribute to the wind speed data, fully considering hidden relevant information and eliminating redundant data to improve the prediction accuracy; Secondly, CPSO optimized by introducing chaotic mapping determines the parameter pairs for VMD. This facilitates an adaptive VMD breakdown of the wind speed sequence, aiding in noise removal and selection of the intrinsic mode function (IMF) with the highest sample entropy for further decomposition using ICEEMDAN. In light of this, a sequence-to-sequence method based on the attention mechanism is suggested, which may highlight the influence features ' effects on IMF; Finally, the proposed model is implemented at both the Paso Robles wind farm and the Oasis wind farm for practical assessment and benchmarked against other models. Overall, the proposed model outperforms the other models in these trials.
英文关键词	Renewable energy Wind speed prediction Multivariate input Two -stage decomposition Att-S2S
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001266440000001
WOS关键词	OPTIMIZATION
WOS类目	Thermodynamics ; Energy & Fuels
WOS研究方向	Thermodynamics ; Energy & Fuels
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/403489
推荐引用方式 GB/T 7714	Sun, Xiaoying,Liu, Haizhong. Multivariate short-term wind speed prediction based on PSO-VMD-SE-ICEEMDAN two-stage decomposition and Att-S2S[J],2024,305.
APA	Sun, Xiaoying,&Liu, Haizhong.(2024).Multivariate short-term wind speed prediction based on PSO-VMD-SE-ICEEMDAN two-stage decomposition and Att-S2S.ENERGY,305.
MLA	Sun, Xiaoying,et al."Multivariate short-term wind speed prediction based on PSO-VMD-SE-ICEEMDAN two-stage decomposition and Att-S2S".ENERGY 305(2024).