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Parallel System Based Quantitative Assessment and Self-evolution for Artificial Intelligence of Active Power Corrective Control 期刊论文
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2024, 卷号: 10, 期号: 1, 页码: 13-28
作者:  Zhang, Tianyun;  Zhang, Jun;  Wang, Feiyue;  Xu, Peidong;  Gao, Tianlu;  Zhang, Haoran;  Si, Ruiqi
收藏  |  浏览/下载：8/0  |  提交时间：2024/07/03
AI quantitative intelligence assessment and self-evolution  automated reinforcement learning  Bayesian optimization  corrective control  parallel system  
Black swan event small-sample transfer learning (BEST-L) and its case study on electrical power prediction in COVID-19 期刊论文
APPLIED ENERGY, 2022, 卷号: 309, 页码: 10
作者:  Hu, Chenxi;  Zhang, Jun;  Yuan, Hongxia;  Gao, Tianlu;  Jiang, Huaiguang;  Yan, Jing;  Gao, David Wenzhong;  Wang, Fei-Yue
收藏  |  浏览/下载：217/0  |  提交时间：2022/07/25
Transfer learning  Black swan event  Small-sample learning  COVID-19  Load forecasting