Guest Editors
Dr. Dongran Song, Central South University, China;
Email: songdongran@csu.edu.cn
Dr. Evgeny Solomin，South Ural State University，Russian Federation；
Email: nii-uralmet@mail.ru
Dr. Neven Duić，University of Zagreb, Croatia;
Email: neven.duic@fsb.hr
Dr. Mohamed Talaat, Zagazig University, Egyptian Chinese University, Egypt；
Email: m_mtalaat@eng.zu.edu.eg
Dr. Mohamed Arezki Mellal, University of Maryland, USA；
Email: mellal.mohamed@gmail.com
Dr. Qingan Li, Institute of Engineering Thermophysics, Chinese Academy of Sciences, China；
Email: liqingan@iet.cn
Summary
During recent years, wind energy, known as one of the clean and environmentally friendly renewable energy resources, has become more significant than ever before. Nevertheless, significant challenges remain in reducing the levelized cost of wind energy. Also, as wind moves offshore, with both fixed and floating options, the wind power generation system becomes complicated. There is further opportunity to use nascent technologies, such as AI. This special issue aims to include contributions across the spectrum of scientific and engineering disciplines concerned with the “AI application in Wind Energy Development and Utilization”. The special issue covers a wide range of topics, including, but not limited to:
• AI-based wind resource assessment techniques;
• AI assisted wind turbine designs;
• AI assisted wind turbine control, protection, state diagnostics;
• AI-based wind farm operation and maintenance;
• AI-based wind power plant modeling and performance optimization;
• AI-based wind energy utilization and integration.
Keywords
wind turbines, wind power plant, AI, floating wind, grid integration
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