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数学与系统科学研究... [16]
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Research on optimal configuration of hybrid energy storage capacity based on adaptive VMD
期刊论文
Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2022, 卷号: 43, 期号: 4, 页码: 75-81
作者:
Liu, Zhongmin
;
Qi, Guoyuan
;
Gao, Jinggeng
;
Wang, Zhiguo
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/06/20
Digital storage
Energy storage
Solar power generation
Wind power
Adaptive variational mode decomposition
Energy storage capacity
Hybrid energy storage
Hybrid energy storage systems
Mode decomposition
Optimal capacity
Optimal capacity configuration
Power demands
Renewable energy generation
Storage battery
Hybrid data decomposition-based deep learning for Bitcoin prediction and algorithm trading
期刊论文
Financial Innovation, 2022, 卷号: 8, 期号: 1
作者:
Li,Yuze
;
Jiang,Shangrong
;
Li,Xuerong
;
Wang,Shouyang
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/04/29
Bitcoin price
Variational mode decomposition
Deep learning
Price forecasting
Algorithmic trading
Volatility communicator or receiver? Investigating volatility spillover mechanisms among Bitcoin and other financial markets
期刊论文
RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2022, 卷号: 59, 页码: 14
作者:
Jiang, Shangrong
;
Li, Yuze
;
Lu, Quanying
;
Wang, Shouyang
;
Wei, Yunjie
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2022/04/02
Volatility spillover
Financial property
TVP-VAR model
Variational mode decomposition
Hypotheses testing
A novel machine learning-based electricity price forecasting model based on optimal model selection strategy
期刊论文
ENERGY, 2022, 卷号: 238, 页码: 14
作者:
Yang, Wendong
;
Sun, Shaolong
;
Hao, Yan
;
Wang, Shouyang
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2022/04/02
Electricity price
Forecasting
Hybrid model
Model selection
Kernel-based extreme learning machine
Wind speed interval prediction model based on variational mode decomposition and multi-objective optimization
期刊论文
APPLIED SOFT COMPUTING, 2021, 卷号: 113, 页码: 15
作者:
Wang, Jianzhou
;
Cheng, Zishu
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/04/29
Interval prediction
Multi-objective optimization algorithm
Wind speed
Combined models
A novel multiscale forecasting model for crude oil price time series
期刊论文
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 卷号: 173, 页码: 15
作者:
Li, Ranran
;
Hu, Yucai
;
Heng, Jiani
;
Chen, Xueli
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2022/04/02
Crude oil price forecasting
Decomposition-ensemble method
Support vector machine
Multiscale strategy
Complexity analysis
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
收藏
  |  
浏览/下载:13/0
  |  
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)
Take Bitcoin into your portfolio: a novel ensemble portfolio optimization framework for broad commodity assets
期刊论文
Financial Innovation, 2021, 卷号: 7, 期号: 1
作者:
Li,Yuze
;
Jiang,Shangrong
;
Wei,Yunjie
;
Wang,Shouyang
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2021/10/26
Portfolio optimization
Bitcoin
Deep learning
Reinforcement learning
Variational mode decomposition
Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 4, 页码: 1184-1196
作者:
Zhang, Chihao
;
Zhang, Shihua
收藏
  |  
浏览/下载:99/0
  |  
提交时间:2021/04/26
Matrix decomposition
Bayes methods
Data integration
Inference algorithms
Data models
Data mining
Gaussian distribution
Bayesian methods
matrix decomposition
data integration
variational Bayesian inference
maximum a posterior
Variational inequality transport model on the sphere by the active-set reduced-space algorithm
期刊论文
COMPUTER PHYSICS COMMUNICATIONS, 2021, 卷号: 260, 页码: 10
作者:
Yang, Haijian
;
Yang, Chao
;
Huang, Jizu
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2021/04/26
Transport problem on the sphere
Variational inequality
Parallel computing
Fully implicit scheme
Active-set reduced-space method
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