Gender:Female
Business Address:自动化学院电气楼522
E-Mail:63c805c999df114d9509680c3e1c7d4f47da7424c63bb97bbbeec7368e236aa35e3bf0ddef4edd5a2653897aa578b971c6d1f2d10300f44d950e339fedd4878f5451832959da89961b25b75207832bbdf9a0328fe6a007799a4a0f9da22301827d407d4f398322617be1e8a1189ce3453ac0dee0fbf707bf750bad5b65d0d721
Data Mining-Based Model Simplification and Optimization of an Electrical Power Generation System
Date of Publication:2020-12-01 Hits:
Affiliation of Author(s):自动化学院
Journal:IEEE Transactions on Transportation Electrification
Translation or Not:no
Date of Publication:2020-12-01
Co-author:戴泽华,Shanshui Yang
Correspondence Author:王莉
