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科技战略咨询研究院 [6]
数学与系统科学研究院 [4]
兰州理工大学 [1]
北京航空航天大学 [1]
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期刊论文 [12]
发表日期
2020 [12]
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A multi-granularity heterogeneous combination approach to crude oil price forecasting
期刊论文
ENERGY ECONOMICS, 2020, 卷号: 91, 页码: 9
作者:
Wang, Jue
;
Zhou, Hao
;
Hong, Tao
;
Li, Xiang
;
Wang, Shouyang
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2021/01/14
Crude oil Price
Forecast combination
Feature selection
Multi-granularity
Artificial bee colony
Forecasting crude oil price with multilingual search engine data
期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 卷号: 551, 页码: 14
作者:
Li, Jingjing
;
Tang, Ling
;
Wang, Shouyang
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  |  
浏览/下载:24/0
  |  
提交时间:2020/06/30
Big data
Multilingual search engine index
Crude oil price forecasting
Google Trends
Artificial intelligence
Crude oil price analysis and forecasting: A perspective of "new triangle"
期刊论文
ENERGY ECONOMICS, 2020, 卷号: 87, 页码: 14
作者:
Lu, Quanying
;
Li, Yuze
;
Chai, Jian
;
Wang, Shouyang
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  |  
浏览/下载:57/0
  |  
提交时间:2020/06/30
Crude oil
Dynamic Bayesian structural time series model
Google trend
Kalman filtering
Spike and slab prior
Bayesian model average
Forecasting Method of Stock Market Volatility in Time Series Data Based on Mixed Model of ARIMA and XGBoost
期刊论文
CHINA COMMUNICATIONS, 2020, 卷号: 17, 期号: 3, 页码: 205-221
作者:
Wang, Yan
;
Guo, Yuankai
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  |  
浏览/下载:8/0
  |  
提交时间:2020/06/16
hybrid model
discrete wavelet transform
ARIMA
XGBoost
grid search
stock price forecast
A multi-scale method for forecasting oil price with multi-factor search engine data
期刊论文
Applied Energy, 2020, 卷号: 257
作者:
Tang, Ling
;
Zhang, Chengyuan
;
Li, Ling
;
Wang, Shouyang
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  |  
浏览/下载:32/0
  |  
提交时间:2019/12/30
A multi-scale method for forecasting oil price with multi-factor search engine data
期刊论文
APPLIED ENERGY, 2020, 卷号: 257, 页码: 12
作者:
Tang, Ling
;
Zhang, Chengyuan
;
Li, Ling
;
Wang, Shouyang
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  |  
浏览/下载:99/0
  |  
提交时间:2020/05/24
Big data
Search engine data
Google trends
Multivariate empirical mode decomposition
Oil price forecasting
The impact of price and revenue floors on carbon emission reduction investment by coal-fired power plants
期刊论文
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2020, 卷号: 154
作者:
Zhang, Xinhua
;
Gan, Dongmei
;
Wang, Yali
;
Liu, Yu
;
Ge, Jiali
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  |  
浏览/下载:15/0
  |  
提交时间:2021/01/16
A novel cryptocurrency price trend forecasting model based on LightGBM
期刊论文
FINANCE RESEARCH LETTERS, 2020, 卷号: 32, 期号: 101084, 页码: 1
作者:
Sun Xiaolei
;
Liu Mingxi
;
Sima Zeqian
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  |  
浏览/下载:8/0
  |  
提交时间:2021/01/16
Cryptocurrency
Trend forecasting
LightGBM
Forecasting performance
Forecasting the price of Bitcoin using deep learning
期刊论文
Finance Research Letters, 2020, 期号: 9, 页码: 101755
作者:
Liu, Mingxi
;
Li, Guowen
;
Li, Jianping
;
Zhu, Xiaoqian
;
Yao, Yinhong
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  |  
浏览/下载:17/0
  |  
提交时间:2021/01/17
Bitcoin price prediction
Stacked denoising autoencoders
Feature learning
Deep extraction
A novel text-based framework for forecasting agricultural futures using massive online news headlines
期刊论文
International Journal of Forecasting, 2020, 期号: 4, 页码: 1-16
作者:
Li, Jianping
;
Li, Guowen
;
Liu, Mingxi
;
Zhu, Xiaoqian
;
Wei, Lu
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2021/01/17
Agricultural futures
Price forecasting
Text analysis
Financial risk
Influential factors
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