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Spatiotemporal Convolutional Approach for the Short-Term Forecast of Hourly Heavy Rainfall Probability Integrating Numerical Weather Predictions and Surface Observations

Source: Weather and Forecasting:;2024:;volume( 039 ):;issue: 003:;page 597

Author(s): Liu, Xi; Zheng, Yu; Zhuang, Xiaoran; Wang, Yaqiang; Li, Xin; Bei, Zhang; Zhang, Wenhua

Publisher: American Meteorological Society

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Performance Improving of Wind Power Generation Systems Through Parameter Optimization and Dynamic Analysis of the Speed-Regulating Differential Transmission

Source: Journal of Energy Resources Technology:;2023:;volume( 145 ):;issue: 012:;page 121302-1

Author(s): Yin, Wenliang; Liu, Lin; Zhang, Wenhua; Li, Ming; Guo, Youguang

Publisher: The American Society of Mechanical Engineers (ASME)

Abstract: Hybrid drive wind power generation systems (WPGSs) equipped with speed-regulating differential mechanisms (SRDMs) have emerged as a promising solution for integrating large-scale wind energy into the power grid without the ...

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Spatiotemporal Convolutional Approach for the Short-Term Forecast of Hourly Heavy Rainfall Probability Integrating Numerical Weather Predictions and Surface Observations

Performance Improving of Wind Power Generation Systems Through Parameter Optimization and Dynamic Analysis of the Speed-Regulating Differential Transmission

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Spatiotemporal Convolutional Approach for the Short-Term Forecast of Hourly Heavy Rainfall Probability Integrating Numerical Weather Predictions and Surface Observations

Performance Improving of Wind Power Generation Systems Through Parameter Optimization and Dynamic Analysis of the Speed-Regulating Differential Transmission