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数学与系统科学研究院 [4]
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兰州大学 [2]
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期刊论文 [10]
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Forecasting carbon prices based on real-time decomposition and causal temporal convolutional networks
期刊论文
APPLIED ENERGY, 2023, 卷号: 331, 页码: 20
作者:
Li, Dan
;
Li, Yijun
;
Wang, Chaoqun
;
Chen, Min
;
Wu, Qi
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2023/02/07
Carbon price forecast
Granger forecast
Real-time decomposition
Neural Granger causality
Causal temporal convolutional network
IMPROVING MULTI-STEP AHEAD TOURISM DEMAND FORECASTING: A STRATEGY-DRIVEN APPROACH
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 210, 页码: 34
作者:
Sun, Shaolong
;
Du, Zongjuan
;
Zhang, Chengyuan
;
Wang, Shouyang
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  |  
浏览/下载:202/0
  |  
提交时间:2023/02/07
Tourism demand forecasting
Multi-step ahead strategies
MIMO
DIRMO
Extreme learning machine
Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 210, 页码: 12
作者:
Sun, Shaolong
;
Li, Mingchen
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  |  
浏览/下载:203/0
  |  
提交时间:2023/02/07
Tourism demand
Multi -step ahead forecasting
Privileged information
Machine learning
Kernel random vector functional link network
Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal convolutional networks
期刊论文
ENERGY, 2022, 卷号: 238, 页码: 22
作者:
Li, Dan
;
Jiang, Fuxin
;
Chen, Min
;
Qian, Tao
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  |  
浏览/下载:18/0
  |  
提交时间:2022/04/02
Wind speed forecasting
Ensemble patch transform
Complete ensemble empirical mode
decomposition
Temporal convolutional network
Hybrid method
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
JOURNAL OF HYDROLOGY, 2019, 卷号: 570, 页码: 167-184
作者:
Wen, Xiaohu
;
Feng, Qi
;
Deo, Ravinesh C.
;
Wu, Min
;
Yin, Zhenliang
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  |  
浏览/下载:81/0
  |  
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)
A hybrid short-term traffic flow forecasting model based on time series multifractal characteristics
期刊论文
APPLIED INTELLIGENCE, 2018, 卷号: 48, 期号: 8, 页码: 2429-2440
作者:
Zhang, Hong
;
Wang, Xiaoming
;
Cao, Jie
;
Tang, Minan
;
Guo, Yirong
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  |  
浏览/下载:2/0
  |  
提交时间:2019/11/15
Hybrid model
Traffic flow
Multifractal characteristics
Short-term forecasting
Periodic regression
Volatility analysis
Multi-step-ahead crude oil price forecasting using a hybrid grey wave model
期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 卷号: 501, 页码: 98-110
作者:
Chen, Yanhui
;
Zhang, Chuan
;
He, Kaijian
;
Zheng, Aibing
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  |  
浏览/下载:5/0
  |  
提交时间:2019/08/22
Crude oil price forecasting
Grey wave forecasting model
Graphical prediction model
Hybrid model
Multi-step ahead time series forecasting for different data patterns based on LSTM recurrent neural network
会议论文
作者:
Liu, Yunpeng
;
Hou, Di
;
Bao, Junpeng
;
Qi, Yong
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  |  
浏览/下载:8/0
  |  
提交时间:2019/11/26
LSTM
multi-step ahead
time series
Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models
期刊论文
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 卷号: 60, 页码: 960-981
作者:
Wang, JZ
;
Song, YL
;
Liu, F
;
Hou, R
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  |  
浏览/下载:3/0
  |  
提交时间:2017/01/12
Multi-step wind speed forecast
Validation cuckoo search
EEMD
Lazy learning
Robustness
Seasonal SVR with FOA algorithm for single-step and multi-step ahead forecasting in monthly inbound tourist flow
期刊论文
2016, 卷号: 110, 页码: 157-166
作者:
Wu Lijuan[1]
;
Cao Guohua[1]
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  |  
浏览/下载:10/0
  |  
提交时间:2019/11/28
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