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首页> 外文期刊>Network Daily News >Governors State University Researchers Describe Findings in Wind Farms (Drifting Streaming Peaks-Over-Threshold-Enhanced Self-Evolving Neural Networks for Short-Term Wind Farm Generation Forecast)
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Governors State University Researchers Describe Findings in Wind Farms (Drifting Streaming Peaks-Over-Threshold-Enhanced Self-Evolving Neural Networks for Short-Term Wind Farm Generation Forecast)

机译:Governors State University Researchers Describe Findings in Wind Farms (Drifting Streaming Peaks-Over-Threshold-Enhanced Self-Evolving Neural Networks for Short-Term Wind Farm Generation Forecast)

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By a News Reporter-Staff News Editor at Network Daily News – Investigatorspublish new report on wind farms. According to news reporting originating from University Park, Illinois,by NewsRx correspondents, research stated, “This paper investigates the short-term wind farm generationforecast. It is observed from the real wind farm generation measurements that wind farm generationexhibits distinct features, such as the non-stationarity and the heterogeneous dynamics of ramp and nonrampevents across different classes of wind turbines.”
机译:由一个新闻记者在网络新闻编辑每日新闻,调查人员风力发电场。来自大学公园,伊利诺斯州NewsRx记者,研究指出,“这个论文调查了短期的风力发电场一代风电场一代测量风力发电场一代non-stationarity和异构动态的斜坡和nonramp不同类型的风力涡轮机。”

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    《Network Daily News 》 |2023年第3期| 6-6| 共1页
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