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孙晓燕
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[11] Zeng, Bo,Liu, Yu,Xu, Fuqiang,Liu, Yixian,sunxiaoyan,Ye, Xianming.Optimal demand response resource exploitation for efficient accommodation of renewable energy sources in multi-energy systems considering correlated uncertainties,2021,卷: 288
[12] Li, Zimin,sunxiaoyan,Chen, Xun,zhangyong,Li, Qingkui,Peng, Chen.Model Construction for Complex Product Design Change with Improved Dendritic Neural Network,2021
[13] Liu, Mingqun,张勇,Zheng, Ruizhao,王法广,孙晓燕.Multi-source product change influence assessment based on similar node clustering,2021
[14] sunxiaoyan,Li, Jia-Zhao,Zeng, Bo,巩敦卫,Lian, Zhi-Yong.Small-sample day-ahead power load forecasting of integrated energy system based on feature transfer learning,2021,v 38,n 1,p63-72
[15] sunxiaoyan,Wang, Xinhao.LDA-Enhanced Federated Learning for Image Classification with Missing Modality,2021,v 1449,p227-241
[16] sunxiaoyan,聂鑫,暴琳,陈杨.基于改进Wide&Deep交互特征提取的移动APP转化率预估,2020,:26-32,7
[17] 陈杨,sunxiaoyan,Jin, Yaochu.Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation,2020,卷: 31期: 10页: 4229-4238
[18] sunxiaoyan,李家钊.基于特征迁移学习的综合能源系统小样本日前电力负荷预测,2020,:63-72,10
[19] 曾博,方伟,徐豪,sunxiaoyan,zhangjianhua.基于楼宇分布式能源提升配电网韧性的智能表计优化配置方法,2020,:292-302,11
[20] sunxiaoyan,孙俊茹,徐冬冬.有偏表示离散优化问题的LSTM增强进化算法,2020,:186,1
total76 2/8
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