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An Intelligent Digital Secretary for Design of Electric Power Engineering
编号：259 访问权限：公开 更新：2020-10-28 13:47:41 浏览：312次 张贴报告

报告开始：2020年11月04日 16:00（Asia/Shanghai）

报告时间：5min

所在会场：[G] Poster session [G6] Poster Session 8

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摘要
In order to improve the digital level of design of electric power engineering and ensure the accuracy and reliability, this paper proposes an intelligent digital secretary. It clarifies the construction ideas and applications of this secretary from three aspects: the architecture, functions and intelligent business services. In intelligent business services, this paper proposes for the first time the application of feature learning based on Auto-encoder for electric power engineering design. Then, the feature parameters learned by Auto-encoder are trained through BP neural network to get the values that meet design standards. Furthermore, this paper constructs the loss function based on the optimal bias to get the results more in line with actual design requirements. Automated design algorithm based on the error model is also provided in this paper. The proposed intelligent digital secretary provides a feasible idea for realizing the leap from current manual design mode to digital design mode.


 
关键词
electric power engineering design,intelligent aided design,digital secretary,feature learning,Auto-encoder
报告人
Yiqi Lu
Huazhong University of Science & Technology

稿件作者
Yiqi Lu Huazhong University of Science & Technology
Jinghai Xie State Grid Jibei Economic Research Institute；Beijing Jingyan electric power engineering design co., LTD
Shihua Lu State Grid Jibei Economic Research Institute；Beijing Jingyan electric power engineering design co., LTD
Chuye Hu Huazhong University of Science and Technology
Ying Xu State Grid Jibei Economic Research Institute；Beijing Jingyan electric power engineering design co., LTD
Shaorong Wang Huazhong University of Science and Technology
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重要日期

  • 会议日期

    11月02日

    2020

    至

    11月04日

    2020

  • 10月27日 2020

    初稿截稿日期

  • 11月03日 2020

    报告提交截止日期

  • 11月04日 2020

    注册截止日期

  • 11月17日 2020

    终稿截稿日期

主办单位
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
承办单位
Huazhong University of Science and Technology
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