首页> 外文期刊>Network Daily News >New Findings on Networks from Northwest Normal University Summarized (Predicting Short Wind Speed With a Hybrid Model Based On a Piecewise Error Correction Method and Elman Neural Network)
【24h】

New Findings on Networks from Northwest Normal University Summarized (Predicting Short Wind Speed With a Hybrid Model Based On a Piecewise Error Correction Method and Elman Neural Network)

机译:新发现网络从西北正常大学总结(预测短风用混合模型基于分段速度误差修正方法和Elman神经网络)

获取原文
获取原文并翻译 | 示例
           

摘要

By a News Reporter-Staff News Editor at Network Daily News – Data detailed on Networks have been presented. According to news originating from Gansu, People’s Republic of China, by NewsRx correspondents, research stated, “The effective utilization of wind energy is a positive development trend in renewable energy that provides an effective impetus to alleviate global warming. However, the complex volatility and extreme suddenness of wind speeds make it difficult to accurately predict wind speeds.”
机译:由一个新闻记者在网络新闻编辑每日新闻-数据详细的网络提出了。甘肃、中华人民共和国、NewsRx记者,研究指出,“有效利用风能是积极的可再生能源的发展趋势为缓解全球提供一个有效的动力变暖。极端意外的风速很难准确地预测风速。”

著录项

  • 来源
    《Network Daily News》 |2022年第13期|26-26|共1页
  • 作者

  • 作者单位
  • 收录信息
  • 原文格式 PDF
  • 正文语种 英语
  • 中图分类 TP-778;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号