研究论文
Deep reinforcement learning TD3-driven high-performance construction of nonstationary wind field through single-point measured data
Xinyi Huang, Haitao Wei, Liyuan Cao, Chunxiang Li, Wujun Chen
Shanghai University Shanghai Jiao Tong University
来源Journal of Wind Engineering and Industrial Aerodynamics
年份2026
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逐年被引趋势
210
226
关键指标
2
被引次数 · OpenAlex
39.29
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 0.3%
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同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
48
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学术脉络
学科主题
工程Wind Energy Research and Development
Energy Load and Power Forecasting · Meteorological Phenomena and Simulations
参考文献 48
Evolutionary Spectra and Non-Stationary Processes
被引 1,065Mark Priestley · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1965
An efficient space–time based simulation approach of wind velocity field with embedded conditional interpolation for unevenly spaced locations
被引 56Liuliu Peng, Guoqing Huang, Ahsan Kareem · Probabilistic Engineering Mechanics · 2015
Simulation of wind velocities on long span structures: A novel stochastic wave based model
被引 88Brett Benowitz, George Deodatis · Journal of Wind Engineering and Industrial Aerodynamics · 2015
此处列出前 3 条
施引文献 2
Aeroelastic wind tunnel testing of a 300 m tall building incorporating a novel integrated damping system
被引 0Miguel Martinez‐Paneda, A.Y. Elghazouli, Kevin Gouder · Journal of Building Engineering · 2026
Adaptive time-variant control for piezoelectric smart isolation systems using deep reinforcement learning
被引 0Tzu-Kang Lin, Chandrasekhara Tappiti, Lyan‐Ywan Lu · Applications in Engineering Science · 2026
按被引量排序，此处列出前 3 条