[Poster Presentation]An Intelligent Digital Secretary for Design of Electric Power Engineering

An Intelligent Digital Secretary for Design of Electric Power Engineering
ID:259 Submission ID:1687 View Protection:PUBLIC Updated Time:2020-10-28 13:47:41 Hits:319 Poster Presentation

Start Time:2020-11-04 16:00 (Asia/Shanghai)

Duration:5min

Session:[G] Poster session » [G6] Poster Session 8

Abstract
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.


 
Keywords
electric power engineering design,intelligent aided design,digital secretary,feature learning,Auto-encoder
Speaker
Yiqi Lu
Huazhong University of Science & Technology

Submission Author
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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