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浏览/检索结果: 共4条，第1-4条 帮助 限定条件 发表日期：2018     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Identification of Power Quality Disturbance Sources using Gradient Boosting Decision Tree 会议论文 Xi'an, China, China, 30 Nov.-2 Dec. 2018 作者:  Pan, Cheng;  Tan, Jie;  Feng, Dandan 收藏  |  浏览/下载：105/0  |  提交时间：2020/09/25 gradient boosting decision tree , power quality , identification , disturbance sources   Novel Method Based on Variational Mode Decomposition and a Random Discriminative Projection Extreme Learning Machine for Multiple Power Quality Disturbance Recognition 期刊论文 IEEE Transactions on Industrial Informatics, 2018 作者:  Zhao, Chen;  Kaicheng, Li;  Li, Yuanzheng;  Wang, Lingyun;  Luo, Yi 收藏  |  浏览/下载：2/0  |  提交时间：2019/11/19 Classification  Computational modeling  Discriminative Projection  Electronic mail  Extreme learning machine  Feature extraction  Multi-label  Multiple power quality disturbance  Neural networks  Power quality  Prediction algorithms  Support vector machines  Variational mode decomposition   Power Quality Disturbances Classification Using Compressive Sensing and Maximum Likelihood 期刊论文 IETE TECHNICAL REVIEW, 2018, 卷号: 35, 期号: 4, 页码: 359-368 作者:  Liu, Hui[1];  Hussain, Fida[2];  Shen, Yue[3] 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/24 Compressive sensing  Maximum likelihood  Power quality disturbance classification  Sparse representation   Complex power quality disturbances classification via curvelet transform and deep learning 期刊论文 ELECTRIC POWER SYSTEMS RESEARCH, 2018, 卷号: 163, 页码: 1-9 作者:  Liu, Hui[1];  Hussain, Fida[2];  Shen, Yue[3];  Arif, Sheeraz[4];  Nazir, Aamir[5] 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/24 Curvelet transform  Singular spectrum analysis  Deep learning  Power quality disturbance classification