Deep learning-based monitoring of offshore wind turbines in Shandong Sea of China and their location analysis

Author:

Liu Longxing,Wu MengquanORCID,Zhao Jie,Bing Lei,Zheng LongxiaoORCID,Luan Shaopeng,Mao Yunfei,Xue Mingyue,Liu Jiayan,Liu Bowen

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment,Building and Construction

Reference52 articles.

1. Development of offshore wind power in China;Chen;Renew. Sustain. Energy Rev.,2011

2. Overview of the development of offshore wind power generation in China;Chen;Sustain. Energy Technol. Assessments,2022

3. Remote sensing image scene classification meets deep learning: challenges, methods, benchmarks, and opportunities;Cheng;IEEE J. Sel. Top. Appl. Earth Obs. Rem. Sens.,2020

4. Extended feature pyramid network for small object detection;Deng;IEEE Trans. Multimed.,2022

5. Dynamical downscaling and reserve estimation of wind energy resources in Shandong offshore areas;Dong;Resour. Sci.,2011

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