Artificial intelligence empowering lifecycle management of smart wind farms

doi:10.12267/j.issn.2096-5931.2026.01.011

Abstract

Abstract:

This study explores the application of artificial intelligence in the construction of smart wind farms, empowering smart wind power and addressing issues such as operational efficiency and equipment fault diagnosis. A comprehensive intelligent application process is established, covering data collection, governance, feature engineering, modeling, and application. Through the implementation of this process, wind farms have achieved smartization throughout their entire lifecycle, including planning, operation, maintenance, and decommissioning. A case experiment on short-term power prediction verifies the effectiveness of simulated annealing optimized long short-term memory and the engineering applicability of the process.The innovative full lifecycle intelligent management paradigm proposed in this research provides technical support for the smart transformation of the wind power.

Key words: AI, empowering intelligence, smart wind farm, full lifecycle

CLC Number:

TP273

LI Xiang, SUN Yonghua, LI Weijian. Artificial intelligence empowering lifecycle management of smart wind farms[J]. Information and Communications Technology and Policy, 2026, 52(1): 84-89.

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URL:

http://ictp.caict.ac.cn/EN/10.12267/j.issn.2096-5931.2026.01.011

http://ictp.caict.ac.cn/EN/Y2026/V52/I1/84

Figures/Tables 2

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方法	隐含层层数	误差
LSTM	1	0.174
LSTM	2	0.155
SA-LSTM	自动	0.121

方法	隐含层层数	误差
LSTM	1	0.174
LSTM	2	0.155
SA-LSTM	自动	0.121