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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
数学与系统科学研究院 [3]
寒区旱区环境与工程研... [1]
采集方式
OAI收割 [3]
iSwitch采集 [1]
内容类型
期刊论文 [4]
发表日期
2022 [1]
2021 [1]
2020 [1]
2019 [1]
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Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal convolutional networks
期刊论文
OAI收割
ENERGY, 2022, 卷号: 238, 页码: 22
作者:
Li, Dan
;
Jiang, Fuxin
;
Chen, Min
;
Qian, Tao
  |  
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2022/04/02
Wind speed forecasting
Ensemble patch transform
Complete ensemble empirical mode
decomposition
Temporal convolutional network
Hybrid method
Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method
期刊论文
OAI收割
APPLIED SOFT COMPUTING, 2021, 卷号: 113, 页码: 15
作者:
Jiang, Fuxin
;
Zhang, Chengyuan
;
Sun, Shaolong
;
Sun, Jingyun
  |  
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2022/04/29
PM2.5 concentration forecasting
Complete ensemble empirical mode
decomposition with adaptive noise
Temporal convolutional
Data patterns
Deep learning
A decomposition-ensemble approach for tourism forecasting
期刊论文
OAI收割
ANNALS OF TOURISM RESEARCH, 2020, 卷号: 81, 页码: 16
作者:
Xie, Gang
;
Qian, Yatong
;
Wang, Shouyang
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2020/06/30
Tourism demand
Complete ensemble empirical mode decomposition with adaptive noise
Data characteristic analysis
Time series forecasting
Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems
期刊论文
iSwitch采集
JOURNAL OF HYDROLOGY, 2019, 卷号: 570, 页码: 167-184
作者:
Wen, Xiaohu
;
Feng, Qi
;
Deo, Ravinesh C.
;
Wu, Min
;
Yin, Zhenliang
收藏
  |  
浏览/下载:89/0
  |  
提交时间:2019/10/08
Expert system
Runoff
Integrated model
Complete ensemble empirical mode decomposition adaptive noise (CEEMDAN)
Variational mode decomposition (VMD)
Extreme learning machine (ELM)