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中国科学院数学与系统科学研究院机构知识库
KMS Of Academy of mathematics and systems sciences, CAS
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期刊论文 [15]
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2022 [3]
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2020 [3]
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英语 [15]
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资助项目:National Natural Science Foundation of China[71988101]
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Market volatility, market skewness, and the cross-section of expected returns in Chinese equity markets
期刊论文
APPLIED ECONOMICS, 2022, 页码: 17
作者:
Liu, Qing
;
Wang, Shouyang
;
Sui, Cong
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  |  
浏览/下载:59/0
  |  
提交时间:2023/02/07
Volatility risk
risk-neutral skewness
options
cross-sectional regression
asymmetry
Regional variation in the drivers of China's residential electricity consumption (REC) and policy orientation
期刊论文
ENERGY FOR SUSTAINABLE DEVELOPMENT, 2022, 卷号: 67, 页码: 112-124
作者:
Wang, Shubin
;
Sun, Shaolong
;
Zhao, Erlong
;
Wang, Shouyang
收藏
  |  
浏览/下载:103/0
  |  
提交时间:2022/06/21
Residential electricity consumption
Regional difference
LMDI method
China
An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting
期刊论文
APPLIED ENERGY, 2022, 卷号: 306, 页码: 16
作者:
Yang, Dongchuan
;
Guo, Ju-E
;
Sun, Shaolong
;
Han, Jing
;
Wang, Shouyang
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  |  
浏览/下载:120/0
  |  
提交时间:2022/04/02
Short-term load forecasting
Bivariate empirical mode decomposition
Decomposition-ensemble approach
Reconstruction
Bayesian optimization
Long short-term memory network
Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm
期刊论文
RESOURCES POLICY, 2021, 卷号: 74, 页码: 10
作者:
Du, Pei
;
Guo, Ju'e
;
Sun, Shaolong
;
Wang, Shouyang
;
Wu, Jing
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  |  
浏览/下载:153/0
  |  
提交时间:2022/04/02
Metal prices forecasting
Data processing method
Optimized extreme learning machine
Hybrid forecasting model
A New Hybrid VMD-ICSS-BiGRU Approach for Gold Futures Price Forecasting and Algorithmic Trading
期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 卷号: 8, 期号: 6, 页码: 1357-1368
作者:
Li, Yuze
;
Wang, Shouyang
;
Wei, Yunjie
;
Zhu, Qing
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  |  
浏览/下载:114/0
  |  
提交时间:2022/04/02
Gold
Forecasting
Autoregressive processes
Predictive models
Signal resolution
Deep learning
Mathematical model
Algorithmic trading
bidirectional gated recurrent unit (BiGRU)
gold futures price forecasting
variational mode decomposition (VMD)
Air pollution forecasting with multivariate interval decomposition ensemble approach
期刊论文
ATMOSPHERIC POLLUTION RESEARCH, 2021, 卷号: 12, 期号: 12, 页码: 14
作者:
Dong, Yawei
;
Zhang, Chengyuan
;
Niu, Mingfei
;
Wang, Shouyang
;
Sun, Shaolong
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  |  
浏览/下载:117/0
  |  
提交时间:2022/04/02
Daily PM 10 concentration forecast
Air quality
Interval forecasting
Noise-assisted multivariate empirical mode
decomposition
Maximum mutual information
Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method
期刊论文
APPLIED SOFT COMPUTING, 2021, 卷号: 113, 页码: 15
作者:
Jiang, Fuxin
;
Zhang, Chengyuan
;
Sun, Shaolong
;
Sun, Jingyun
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  |  
浏览/下载:119/0
  |  
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
Identifying environmental and health threats in unconventional oil and gas violations: evidence from Pennsylvania compliance reports
期刊论文
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 页码: 15
作者:
Bi, Dan
;
Guo, Ju-E
;
Zhao, Erlong
;
Sun, Shaolong
;
Wang, Shouyang
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  |  
浏览/下载:114/0
  |  
提交时间:2022/04/02
Unconventional oil and gas
Text mining
LDA
Environmental violation
Decision tree
Environment pollution
Urban and rural differences with regional assessment of household energy consumption in China
期刊论文
ENERGY, 2021, 卷号: 232, 页码: 15
作者:
Wang, Shubin
;
Sun, Shaolong
;
Zhao, Erlong
;
Wang, Shouyang
收藏
  |  
浏览/下载:106/0
  |  
提交时间:2022/04/02
Household energy consumption
Urban-rural difference
Regional assessment
LMDI framework
A New Two-Stage Approach with Boosting and Model Averaging for Interval-Valued Crude Oil Prices Forecasting in Uncertainty Environments
期刊论文
FRONTIERS IN ENERGY RESEARCH, 2021, 卷号: 9, 页码: 11
作者:
Huang, Bai
;
Sun, Yuying
;
Wang, Shouyang
收藏
  |  
浏览/下载:123/0
  |  
提交时间:2022/04/02
crude oil prices forecasting
forecast combination
interval-valued time series
model averaging
vector L2-boosting