QQ客服 官方微博 反馈留言

浏览/检索结果: 共4条，第1-4条 帮助 限定条件 发表日期：2017    内容类型：期刊论文     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 Prospective Out-of-ecliptic White-light Imaging of Interplanetary Corotating Interaction Regions at Solar Maximum 期刊论文 ASTROPHYSICAL JOURNAL, 2017, 卷号: 844, 期号: 1, 页码: 76 作者:  Xiong, Ming;  Davies, Jackie A.;  Li, Bo;  Yang, Liping;  Liu, Ying D. 收藏  |  浏览/下载：19/0  |  提交时间：2017/09/14 magnetohydrodynamics (MHD)  methods: numerical  solar wind  Sun: corona  Sun: heliosphere   Double-peaked core field of flux ropes during magnetic reconnection 期刊论文 JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, 2017, 卷号: 122, 期号: 6, 页码: 6374-6384 作者:  Liu, Chaoxu;  Feng, Xueshang;  Nakamura, Rumi;  Guo, Jianpeng;  Wang, Rongsheng 收藏  |  浏览/下载：13/0  |  提交时间：2017/09/14 flux rope  core field  Hall MHD   Takagi-Sugeno fuzzy model-based approach considering multiple weather factors for the photovoltaic power short-term forecasting 期刊论文 IET Renewable Power Generation, 2017, 卷号: 11, 期号: 10, 页码: 1281-1287 作者:  Liu, Fang;  Li, Ranran;  Li, Yong*;  Yan, Ruifeng;  Saha, Tapan 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/03 photovoltaic power systems  load forecasting  least mean squares methods  recursive estimation  support vector machines  backpropagation  recurrent neural nets  fuzzy reasoning  power engineering computing  Takagi-Sugeno fuzzy model-based approach  multiple-weather factors  photovoltaic power short-term forecasting  PV systems  electricity supply  PV power forecasting  air temperature  humidity  wind speed  wind direction  insolation  T-S fuzzy model  correlation analysis  fuzzy c-mean clustering algorithm  recursive least square method  St Lucia campus  The Queensland University of Australia  support vector machine  SVM  empirical mode decomposition  back propagation neural network  recurrent neural network  power 433 kW   Takagi–Sugeno fuzzy model-based approach considering multiple weather factors for the photovoltaic power short-term forecasting 期刊论文 IET Renewable Power Generation, 2017, 卷号: Vol.11 No.10, 页码: 1281-1287 作者:  Liu, F;  Li, RR;  Li, Y;  Yan, RF;  Saha, T 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/31