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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 发表日期：2017    内容类型：会议论文     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 FORECASTING OF IONOSPHERIC VERTICAL TOTAL ELECTRON CONTENT (TEC) USING LSTM NETWORKS 会议论文 Ningbo, PEOPLES R CHINA, JUL 09-12, 2017 作者:  Sun, Wenqing;  Xu, Long;  Huang, Xin;  Zhang, Weiqiang;  Yuan, Tianjiao 收藏  |  浏览/下载：25/0  |  提交时间：2018/04/09 Ionospheric  Tec  Lstm  Forecast   Study of the Short-Term Electric Load Forecast Based on ANFIS 会议论文 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC), Hefei, PEOPLES R CHINA, MAY 19-21, 2017 作者:  Peng, Junran*;  Gao, Shengyu;  Ding, Anzi 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/04 ANFIS  Short-Term Electric Load Forecast  Neural Network  Fuzzy Inference   Hybrid Deep Learning approach for Urban Expressway Travel Time Prediction Considering Spatial-Temporal Features 会议论文 2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2017-01-01 作者:  Zhang, Zhihao;  Chen, Peng;  Wang, Yunpeng;  Yu, Guizhen 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/30 Travel time forecast  convolutional neural networks  long short-term memory neural networks  spatial-temporal features   Short-Term Load Prediction Method for Power Distributing Method Based on Back-Propagation Neural Network 会议论文 PROCEEDINGS OF THE 2017 12TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2017-01-01 作者:  Liu, Yuyu;  Li, Dong;  Pei, Hongyan;  Liu, Keyan;  Li, Yunhua 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 BP neural network  load forecast  data preprocessing  data normalization   Modeling the Temporal Correlation of Ultra-short Term Wind Power Forecast Error Based on Copula Theory 会议论文 IEEE Conference on Energy Internet and Energy System Integration (EI2), NOV 26-28, 2017 作者:  Teng Qijun;  Wang Chengfu;  Liang Jun;  Liang Zhengtang 收藏  |  浏览/下载：10/0  |  提交时间：2019/12/31 Temporal-correlation  ultra-short term wind power forecast error  copula  theory  dependence structure   Ultra-Short-Term Wind Generation Forecast Based on Multivariate Empirical Dynamic Modeling 会议论文 IEEE-Industry-Applications-Society Annual Meeting, OCT 01-05, 2017 作者:  Ma, Jiayi;  Yang, Ming;  Han, Xueshan;  Li, Zhi 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/31 Attractor reconstruction  multivariate empirical dynamic modeling  simplex projection  Takens' theorem  wind generation forecast