Lean Yu : Citation Profile


Are you Lean Yu?

Beijing University of Chemical Technology

8

H index

4

i10 index

173

Citations

RESEARCH PRODUCTION:

17

Articles

RESEARCH ACTIVITY:

   7 years (2008 - 2015). See details.
   Cites by year: 24
   Journals where Lean Yu has often published
   Relations with other researchers
   Recent citing documents: 70.    Total self citations: 9 (4.95 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pyu29
   Updated: 2017-11-18    RAS profile: 2016-03-21    
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Relations with other researchers


Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Lean Yu.

Is cited by:

Wei, Yi-Ming (7)

Baruník, Jozef (5)

Zhou, Peng (3)

Ji, Qiang (3)

Zhao, Weigang (3)

Kočenda, Evžen (3)

Vacha, Lukas (3)

Zhang, Yue-Jun (2)

Aloui, Chaker (2)

makram, beljid (2)

Managi, Shunsuke (2)

Cites to:

Wei, Yi-Ming (9)

Fernandez, Viviana (5)

Chevallier, Julien (5)

Hommes, Cars (4)

Zhao, Weigang (4)

Hunt, Lester (4)

Reboredo, Juan (4)

Diebold, Francis (4)

JAMMAZI, RANIA (4)

Mariano, Roberto (4)

DIONGUE, Abdou Ka (3)

Main data


Where Lean Yu has published?


Journals with more than one article published# docs
Energy Economics4
Applied Energy3
Energy3
Annals of Operations Research2

Recent works citing Lean Yu (2017 and 2016)


YearTitle of citing document
2016Impacts of OPECs political risk on the international crude oil prices: An empirical analysis based on the SVAR models. (2016). Wei, Yi-Ming ; Chen, Hao ; Tang, Bao-Jun ; Liao, Hua . In: CEEP-BIT Working Papers. RePEc:biw:wpaper:96.

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2016Comparing Functional Link Artificial Neural Network And Multilayer Feedforward Neural Network Model To Forecast Crude Oil Prices. (2016). Nanda, Santosh Kumar ; Hamdi, Manel ; Aloui, Chaker . In: Economics Bulletin. RePEc:ebl:ecbull:eb-16-00159.

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2018On the data-driven COS method. (2018). Bohte, Sander M ; Leitao, Alvaro ; Oosterlee, Cornelis W ; Ortiz-Gracia, Luis . In: Applied Mathematics and Computation. RePEc:eee:apmaco:v:317:y:2018:i:c:p:68-84.

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2016An incentive-oriented early warning system for predicting the co-movements between oil price shocks and macroeconomy. (2016). Ju, Keyi ; Zhang, Yuqiang ; Zhou, Dequn ; Su, Bin . In: Applied Energy. RePEc:eee:appene:v:163:y:2016:i:c:p:452-463.

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2016Forecasting the term structure of crude oil futures prices with neural networks. (2016). Baruník, Jozef ; Malinska, Barbora ; Barunik, Jozef . In: Applied Energy. RePEc:eee:appene:v:164:y:2016:i:c:p:366-379.

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2016Short-term building energy model recommendation system: A meta-learning approach. (2016). Li, Xiwang ; Wu, Teresa ; Cui, Can ; Hu, Mengqi ; Weir, Jeffery D. In: Applied Energy. RePEc:eee:appene:v:172:y:2016:i:c:p:251-263.

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2016The impact of emission trading scheme and the ratio of free quota: A dynamic recursive CGE model in China. (2016). Jia, Zhijie ; Li, Wei . In: Applied Energy. RePEc:eee:appene:v:174:y:2016:i:c:p:1-14.

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2016Research on China’s cap-and-trade carbon emission trading scheme: Overview and outlook. (2016). Shen, BO ; Jiang, Jingjing ; Chen, Zhanming ; Ye, Bin ; Xie, Dejun . In: Applied Energy. RePEc:eee:appene:v:178:y:2016:i:c:p:902-917.

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2016Scenario-based potential effects of carbon trading in China: An integrated approach. (2016). Wang, Qunwei ; Cai, Wanhuan ; Li, Pengfei ; Shi, Dan ; Zhang, Cheng . In: Applied Energy. RePEc:eee:appene:v:182:y:2016:i:c:p:177-190.

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2016Equilibrium strategy based coal blending method for combined carbon and PM10 emissions reductions. (2016). Wu, Yimin ; Zeng, Ziqiang ; Xie, Heping ; Xu, Jiuping ; Lv, Chengwei . In: Applied Energy. RePEc:eee:appene:v:183:y:2016:i:c:p:1035-1052.

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2016Achieving China’s INDC through carbon cap-and-trade: Insights from Shanghai. (2016). Tian, XU ; Wu, Rui ; Dai, Hancheng ; Geng, Yong ; Xie, Yang ; Masui, Toshihiko. In: Applied Energy. RePEc:eee:appene:v:184:y:2016:i:c:p:1114-1122.

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2017The allowance mechanism of China’s carbon trading pilots: A comparative analysis with schemes in EU and California. (2017). Xiong, Ling ; Ye, Bin ; Price, Lynn ; Qi, Shaozhou ; Shen, BO. In: Applied Energy. RePEc:eee:appene:v:185:y:2017:i:p2:p:1849-1859.

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2017Assessment of impacts of Hubei Pilot emission trading schemes in China – A CGE-analysis using TermCO2 model. (2017). Yu, Yang ; Qi, Shao-Zhou ; Tan, Xiu-Jie ; Liu, YU. In: Applied Energy. RePEc:eee:appene:v:189:y:2017:i:c:p:762-769.

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2017Dependence changes between the carbon price and its fundamentals: A quantile regression approach. (2017). Tan, Xue-Ping ; Wang, Xin-Yu . In: Applied Energy. RePEc:eee:appene:v:190:y:2017:i:c:p:306-325.

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2017Multi-step ahead electricity price forecasting using a hybrid model based on two-layer decomposition technique and BP neural network optimized by firefly algorithm. (2017). Wang, Deyun ; Guo, Haixiang ; Lin, Yanbing ; Grunder, Olivier ; Luo, Hongyuan . In: Applied Energy. RePEc:eee:appene:v:190:y:2017:i:c:p:390-407.

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2017Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression. (2017). Wei, Yi-Ming ; Zhang, Tao ; Wu, Zhanchi ; Wang, Ping ; Zhu, Bangzhu . In: Applied Energy. RePEc:eee:appene:v:191:y:2017:i:c:p:521-530.

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2017Impacts of the coming emission trading scheme on China’s coal-to-materials industry in 2020. (2017). Li, Guangyao ; Hu, Shanying ; Chen, Dingjiang ; Yang, Jin . In: Applied Energy. RePEc:eee:appene:v:195:y:2017:i:c:p:837-849.

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2017A new dynamic integrated approach for wind speed forecasting. (2017). Sun, Shaolong ; Wang, Shouyang ; Wei, Yunjie ; Qiao, Han . In: Applied Energy. RePEc:eee:appene:v:197:y:2017:i:c:p:151-162.

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2017How does investor attention affect international crude oil prices?. (2017). Ma, Chao-Qun ; Yao, Ting ; Zhang, Yue-Jun . In: Applied Energy. RePEc:eee:appene:v:205:y:2017:i:c:p:336-344.

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2017A new hybrid method for the prediction of the remaining useful life of a lithium-ion battery. (2017). Zhang, Yong ; Fang, Huajing ; Chang, Yang . In: Applied Energy. RePEc:eee:appene:v:206:y:2017:i:c:p:1564-1578.

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2016Oil price forecasting using gene expression programming and artificial neural networks. (2016). Mostafa, Mohamed M ; El-Masry, Ahmed A. In: Economic Modelling. RePEc:eee:ecmode:v:54:y:2016:i:c:p:40-53.

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2016The strength of coalition in a dispersed decision support system with negotiations. (2016). Przybya-Kasperek, Magorzata ; Wakulicz-Deja, Alicja . In: European Journal of Operational Research. RePEc:eee:ejores:v:252:y:2016:i:3:p:947-968.

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2016‘Nonlinear causality between crude oil price and exchange rate: A comparative study of China and India’ — A failed replication (negative Type 1 and Type 2). (2016). Trachanas, Emmanouil ; de Vita, Glauco . In: Energy Economics. RePEc:eee:eneeco:v:56:y:2016:i:c:p:150-160.

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2016Impacts of OPECs political risk on the international crude oil prices: An empirical analysis based on the SVAR models. (2016). Wei, Yi-Ming ; Tang, Bao-Jun ; Chen, Hao ; Liao, Hua . In: Energy Economics. RePEc:eee:eneeco:v:57:y:2016:i:c:p:42-49.

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2016Macroeconomic performance of oil price shocks: Outlier evidence from nineteen major oil-related countries/regions. (2016). Su, Bin ; Ju, Keyi ; Liu, Lifan ; Wu, Junmin ; Zhou, Dequn . In: Energy Economics. RePEc:eee:eneeco:v:60:y:2016:i:c:p:325-332.

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2017Can investor attention predict oil prices?. (2017). Han, Liyan ; Yin, Libo ; Lv, Qiuna. In: Energy Economics. RePEc:eee:eneeco:v:66:y:2017:i:c:p:547-558.

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2017A deep learning ensemble approach for crude oil price forecasting. (2017). Zhao, Yang ; Yu, Lean ; Li, Jianping. In: Energy Economics. RePEc:eee:eneeco:v:66:y:2017:i:c:p:9-16.

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2017The relationship between regional natural gas markets and crude oil markets from a multi-scale nonlinear Granger causality perspective. (2017). Ji, Qiang ; Geng, Jiang-Bo ; Fan, Ying . In: Energy Economics. RePEc:eee:eneeco:v:67:y:2017:i:c:p:98-110.

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2017When Will Occur the Crude Oil Bubbles?. (2017). Su, Chi-Wei ; Lobon, Oana-Ramona ; Chang, Hsu-Ling ; Li, Zheng-Zheng . In: Energy Policy. RePEc:eee:enepol:v:102:y:2017:i:c:p:1-6.

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2017Carbon allowance auction design of Chinas emissions trading scheme: A multi-agent-based approach. (2017). Tang, Ling ; Bao, Qin ; Yu, Lean ; Wu, Jiaqian . In: Energy Policy. RePEc:eee:enepol:v:102:y:2017:i:c:p:30-40.

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2017Dynamic multiscale interactions between European carbon and electricity markets during 2005–2016. (2017). Wei, Yi-Ming ; Chevallier, Julien ; Han, Dong ; Zhu, Bangzhu . In: Energy Policy. RePEc:eee:enepol:v:107:y:2017:i:c:p:309-322.

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2017The economy impacts of Korean ETS with an emphasis on sectoral coverage based on a CGE approach. (2017). Choi, Yongrok ; Lee, Hyoungseok ; Liu, YU. In: Energy Policy. RePEc:eee:enepol:v:109:y:2017:i:c:p:835-844.

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2016Designing an emissions trading scheme for China with a dynamic computable general equilibrium model. (2016). Bao, Qin ; Tang, Ling ; Shi, Jiarui . In: Energy Policy. RePEc:eee:enepol:v:97:y:2016:i:c:p:507-520.

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2016Chinese companies’ awareness and perceptions of the Emissions Trading Scheme (ETS): Evidence from a national survey in China. (2016). Yang, Lin ; Zhang, Xian ; Li, Fengyu . In: Energy Policy. RePEc:eee:enepol:v:98:y:2016:i:c:p:254-265.

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2016The behaviour mechanism analysis of regional natural gas prices: A multi-scale perspective. (2016). Ji, Qiang ; Geng, Jiang-Bo ; Fan, Ying . In: Energy. RePEc:eee:energy:v:101:y:2016:i:c:p:266-277.

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2016The evolution model of electricity market on the stable development in China and its dynamic analysis. (2016). Zhang, Wenbin ; Tian, Lixin ; Fang, Guochang ; Zhen, Zaili ; Wang, Minggang . In: Energy. RePEc:eee:energy:v:114:y:2016:i:c:p:344-359.

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2016Mass and energy-capital conservation equations to forecast the oil price evolution with accumulation or depletion of the resources. (2016). Gori, Fabio . In: Energy. RePEc:eee:energy:v:116:y:2016:i:p1:p:746-760.

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2017The influence of global benchmark oil prices on the regional oil spot market in multi-period evolution. (2017). Sun, Xiaoqi ; Jiang, Meihui . In: Energy. RePEc:eee:energy:v:118:y:2017:i:c:p:742-752.

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2017The growing importance of natural gas as a predictor for retail electricity prices in US. (2017). Alexopoulos, Thomas A. In: Energy. RePEc:eee:energy:v:137:y:2017:i:c:p:219-233.

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2017Revisiting driving factors of oil price shocks across time scales. (2017). An, Feng ; Huang, Shupei ; Wen, Shaobo . In: Energy. RePEc:eee:energy:v:139:y:2017:i:c:p:617-629.

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2017Dynamic interaction between economic policy uncertainty and financial stress: A multi-scale correlation framework. (2017). Sun, Xiaolei ; Wang, Jun ; Yao, Xiaoyang . In: Finance Research Letters. RePEc:eee:finlet:v:21:y:2017:i:c:p:214-221.

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2017Do iron ore price bubbles occur?. (2017). Peculea, Adelina Dumitrescu ; Su, Chi-Wei ; Chang, Hsu-Ling ; Wang, Kai-Hua ; Dumitrescupeculea, Adelina. In: Resources Policy. RePEc:eee:jrpoli:v:53:y:2017:i:c:p:340-346.

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2016A study of industrial electricity consumption based on partial Granger causality network. (2016). Lin, Ji-Nan ; Yao, Can-Zhong . In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:461:y:2016:i:c:p:629-646.

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2017The evolution of spillover effects between oil and stock markets across multi-scales using a wavelet-based GARCH–BEKK model. (2017). Huang, Shupei ; Liu, Xueyong ; Wen, Shaobo . In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:465:y:2017:i:c:p:374-383.

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2017Features of spillover networks in international financial markets: Evidence from the G20 countries. (2017). Liu, Xueyong ; Wen, Shaobo ; Feng, Sida ; Chen, Zhihua ; An, Haizhong . In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:479:y:2017:i:c:p:265-278.

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2017Crude oil price analysis and forecasting based on variational mode decomposition and independent component analysis. (2017). Wei, Jian ; Ye, Jimin ; Bao, Yanling . In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:484:y:2017:i:c:p:412-427.

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2017Multi-step ahead wind speed forecasting using an improved wavelet neural network combining variational mode decomposition and phase space reconstruction. (2017). Wang, Deyun ; Lin, Yanbing ; Grunder, Olivier ; Luo, Hongyuan . In: Renewable Energy. RePEc:eee:renene:v:113:y:2017:i:c:p:1345-1358.

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2018Research and application of a combined model based on variable weight for short term wind speed forecasting. (2018). Li, Hongmin ; Guo, Zhenhai ; Lu, Haiyan ; Wang, Jianzhou. In: Renewable Energy. RePEc:eee:renene:v:116:y:2018:i:pa:p:669-684.

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2016Nuclear power development in China after the restart of new nuclear construction and approval: A system dynamics analysis. (2016). Guo, Xiaopeng . In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:57:y:2016:i:c:p:999-1007.

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2016How to improve the market efficiency of carbon trading: A perspective of China. (2016). Zhao, Xin-Gang ; Chen, Hao ; Nie, Dan ; Jiang, Gui-Wu . In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:59:y:2016:i:c:p:1229-1245.

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2017Mapping research on carbon emissions trading: a co-citation analysis. (2017). Yu, Dejian ; Xu, Chao . In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:74:y:2017:i:c:p:1314-1322.

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2017A review of the decomposition methodology for extracting and identifying the fluctuation characteristics in electricity demand forecasting. (2017). Shao, Zhen ; Zhou, Kai-Le ; Yang, Shan-Lin ; Chao, FU. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:75:y:2017:i:c:p:123-136.

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2017Sector decomposition of China’s national economic carbon emissions and its policy implication for national ETS development. (2017). Jiang, Jing Jing ; Yang, Peng ; Miao, Lixin ; Li, JI ; Xie, Dejun ; Ye, Bin . In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:75:y:2017:i:c:p:855-867.

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2017Research on the efficiency of carbon trading market in China. (2017). Zhao, Xin-Gang ; Li, Ang ; Wu, Lei . In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:79:y:2017:i:c:p:1-8.

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2016An ICA-based support vector regression scheme for forecasting crude oil prices. (2016). Fan, Liwei ; Li, Huiping ; Pan, Sijia . In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:112:y:2016:i:c:p:245-253.

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2017Ensemble Prediction Model with Expert Selection for Electricity Price Forecasting. (2017). Neupane, Bijay ; Aung, Zeyar ; Woon, Wei Lee . In: Energies. RePEc:gam:jeners:v:10:y:2017:i:1:p:77-:d:87345.

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2016Forecasting Electricity Market Risk Using Empirical Mode Decomposition (EMD)—Based Multiscale Methodology. (2016). He, Kaijian ; Zou, Yingchao ; Du, Jiangze ; Wang, Hongqian . In: Energies. RePEc:gam:jeners:v:9:y:2016:i:11:p:931-:d:82489.

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2016Forecasting Crude Oil Price Using EEMD and RVM with Adaptive PSO-Based Kernels. (2016). LI, TAIYONG ; He, Ting ; Tao, Quanyi ; Pan, Fan ; Wu, Jiang ; Luo, Min ; Guo, Chaoqi ; Zhou, Min . In: Energies. RePEc:gam:jeners:v:9:y:2016:i:12:p:1014-:d:84168.

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2016Multivariate EMD-Based Modeling and Forecasting of Crude Oil Price. (2016). Wu, Jun ; He, Kaijian ; Lai, Kin Keung ; Zha, Rui . In: Sustainability. RePEc:gam:jsusta:v:8:y:2016:i:4:p:387-:d:68672.

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2016Multivariate EMD-Based Modeling and Forecasting of Crude Oil Price. (2016). He, Kaijian ; Lai, Kin Keung ; Wu, Jun ; Zha, Rui . In: Sustainability. RePEc:gam:jsusta:v:8:y:2016:i:4:p:387:d:68672.

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2017The Diversification Benefits of Including Carbon Assets in Financial Portfolios. (2017). Zhang, Yinpeng ; Yu, Xueying ; Liu, Zhixin . In: Sustainability. RePEc:gam:jsusta:v:9:y:2017:i:3:p:437-:d:93470.

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2016Comparing the Forecasting Performance of Futures Oil Prices with Genetically Evolved Neural Networks. (2016). Shazly, Mona ; Lou, Alice . In: International Advances in Economic Research. RePEc:kap:iaecre:v:22:y:2016:i:4:d:10.1007_s11294-016-9599-3.

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2016Expanded models of the project portfolio selection problem with loss in divisibility. (2016). Yang, Wei ; Tian, YE ; Sun, Miao ; Ye, Zuoliang . In: Journal of the Operational Research Society. RePEc:pal:jorsoc:v:67:y:2016:i:8:d:10.1057_jors.2016.11.

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2017Creating and assessing composite indicators: Dynamic applications for the port industry and seaborne trade. (2017). Angelopoulos, Jason . In: Maritime Economics & Logistics. RePEc:pal:marecl:v:19:y:2017:i:1:d:10.1057_s41278-016-0050-8.

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2017Time–frequency analysis of the Baltic Dry Index. (2017). Angelopoulos, Jason . In: Maritime Economics & Logistics. RePEc:pal:marecl:v:19:y:2017:i:2:d:10.1057_s41278-016-0052-6.

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2017Low-carbon society creation and socio-economic structural transition in China. (2017). Dou, Xiangsheng ; Cui, Huanying . In: Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development. RePEc:spr:endesu:v:19:y:2017:i:5:d:10.1007_s10668-016-9834-3.

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2016Multiple objective project portfolio selection based on reference points. (2016). Stewart, Theodor J. In: Journal of Business Economics. RePEc:spr:jbecon:v:86:y:2016:i:1:d:10.1007_s11573-015-0797-x.

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2016Multivariate analysis of credit risk and bankruptcy research data: a bibliometric study involving different knowledge fields (1968–2014). (2016). Prado, Jose Willer ; Tonelli, Dany Flavio ; Cruz, Luiz Kennedy ; Vieira, Kelly Carvalho ; Carvalho, Francisval Melo ; Alcantara, Valderi Castro . In: Scientometrics. RePEc:spr:scient:v:106:y:2016:i:3:d:10.1007_s11192-015-1829-6.

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2016The responses of BRICS Equities to Chinas Slowdown: A Multi-Scale Causality Analysis. (2016). Selmi, Refk ; bouoiyour, jamal. In: Working Papers. RePEc:tac:wpaper:2015-2016_7.

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2016Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate models. (2016). Weron, Rafał ; Ziel, Florian . In: HSC Research Reports. RePEc:wuu:wpaper:hsc1608.

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Works by Lean Yu:


YearTitleTypeCited
2014A novel data-characteristic-driven modeling methodology for nuclear energy consumption forecasting In: Applied Energy.
[Full Text][Citation analysis]
article5
2015A decomposition–ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting In: Applied Energy.
[Full Text][Citation analysis]
article8
2012A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting In: Applied Energy.
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article9
2013A novel nonlinear value-at-risk method for modeling risk of option portfolio with multivariate mixture of normal distributions In: Economic Modelling.
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article2
2009An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring In: European Journal of Operational Research.
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article8
2008Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm In: Energy Economics.
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article53
2009Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method In: Energy Economics.
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article22
2014A compressed sensing based AI learning paradigm for crude oil price forecasting In: Energy Economics.
[Full Text][Citation analysis]
article5
2015Linear and nonlinear Granger causality investigation between carbon market and crude oil market: A multi-scale approach In: Energy Economics.
[Full Text][Citation analysis]
article9
2015Carbon emissions trading scheme exploration in China: A multi-agent-based model In: Energy Policy.
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article19
2011A novel seasonal decomposition based least squares support vector regression ensemble learning approach for hydropower consumption forecasting in China In: Energy.
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article7
2012Crude oil price analysis and forecasting using wavelet decomposed ensemble model In: Energy.
[Full Text][Citation analysis]
article17
2015Electricity price forecasting with a BED (Bivariate EMD Denoising) methodology In: Energy.
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article4
2014A fuzzy multi-objective model for provider selection in data communication services with different QoS levels In: International Journal of Production Economics.
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article0
2015Dynamic volatility spillover effect analysis between carbon market and crude oil market: a DCC-ICSS approach In: International Journal of Global Energy Issues.
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article3
2012Genetic algorithm-based multi-criteria project portfolio selection In: Annals of Operations Research.
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article2
2015Intelligent knowledge management in operations research In: Annals of Operations Research.
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article0

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