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Assessing Potentiality of Support Vector Machine Method in Crude Oil Price Forecasting 期刊论文
EURASIA JOURNAL OF MATHEMATICS SCIENCE AND TECHNOLOGY EDUCATION, 2017, 卷号: 13, 期号: 12, 页码: 7893-7904
作者:  Yu, Lean;  Zhang, Xun;  Wang, Shouyang
收藏  |  浏览/下载：187/0  |  提交时间：2018/07/30
support vector machines  artificial neural networks  ARIMA model  ARFIMA model  Markov-switching ARFIMA model  
Carbon allowance auction design of China's emissions trading scheme: A multi-agent-based approach 期刊论文
ENERGY POLICY, 2017, 卷号: 102, 页码: 30-40
作者:  Tang, Ling;  Wu, Jiaqian;  Yu, Lean;  Bao, Qin
收藏  |  浏览/下载：142/0  |  提交时间：2018/07/30
Emissions trading scheme (ETS)  Carbon auction market  Allowance allocation  Emissions reduction  Multi-agent-based model  
Designing an emissions trading scheme for China with a dynamic computable general equilibrium model 期刊论文
ENERGY POLICY, 2016, 卷号: 97, 页码: 507-520
作者:  Tang, Ling;  Shi, Jiarui;  Bao, Qin
收藏  |  浏览/下载：102/0  |  提交时间：2018/07/30
Emissions trading scheme (ETS)  Computable general equilibrium (CGE)  China  Carbon cap  Permit allocation  
Stock Selection with a Novel Sigmoid-Based Mixed Discrete-Continuous Differential Evolution Algorithm 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2016, 卷号: 28, 期号: 7, 页码: 1891-1904
作者:  Yu, Lean;  Hu, Lunchao;  Tang, Ling
收藏  |  浏览/下载：96/0  |  提交时间：2018/07/30
Artificial intelligence  constrained optimization  evolutionary computing  portfolio analysis  
Linear and nonlinear Granger causality investigation between carbon market and crude oil market: A multi-scale approach 期刊论文
ENERGY ECONOMICS, 2015, 卷号: 51, 页码: 300-311
作者:  Yu, Lean;  Li, Jingjing;  Tang, Ling;  Wang, Shuai
收藏  |  浏览/下载：96/0  |  提交时间：2018/07/30
Bivariate empirical mode decomposition  Nonlinear Granger causality test  Multi-scale analysis  Carbon market  Crude oil market