Lean Yu : Citation Profile


Are you Lean Yu?

Beijing University of Chemical Technology

11

H index

12

i10 index

332

Citations

RESEARCH PRODUCTION:

17

Articles

RESEARCH ACTIVITY:

   7 years (2008 - 2015). See details.
   Cites by year: 47
   Journals where Lean Yu has often published
   Relations with other researchers
   Recent citing documents: 138.    Total self citations: 9 (2.64 %)

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ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pyu29
   Updated: 2019-05-18    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 (15)

Ji, Qiang (7)

Zhou, Peng (6)

Baruník, Jozef (5)

Weron, Rafał (3)

Vacha, Lukas (3)

Zhao, Weigang (3)

Kočenda, Evžen (3)

Zhang, Yue-Jun (3)

Jamasb, Tooraj (2)

Aloui, Chaker (2)

Cites to:

Wei, Yi-Ming (9)

Fernandez, Viviana (5)

Chevallier, Julien (5)

Manera, Matteo (4)

Reboredo, Juan (4)

JAMMAZI, RANIA (4)

Hunt, Lester (4)

Mariano, Roberto (4)

Hommes, Cars (4)

Zhao, Weigang (4)

Diebold, Francis (4)

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 (2018 and 2017)


YearTitle of citing document
2018Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks. (2018). Weron, Rafał ; Ziel, Florian. In: Papers. RePEc:arx:papers:1805.06649.

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2018A Data-Driven Approach for Modeling Stochasticity in Oil Market. (2018). Aghaei, Sina. In: Papers. RePEc:arx:papers:1805.12110.

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2018Fracking, Wars and Stock Market Crashes: The Price of Oil During the Great Recession. (2018). Garzon, Antonio J ; Hierro, Luis A. In: International Journal of Energy Economics and Policy. RePEc:eco:journ2:2018-02-3.

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2018The Performance of Hybrid ARIMA-GARCH Modeling and Forecasting Oil Price. (2018). Dritsaki, Chaido. In: International Journal of Energy Economics and Policy. RePEc:eco:journ2:2018-03-3.

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2018Does Agricultural Commodity Price Co-move with Oil Price in the Time-Frequency Space? Evidence from the Republic of Korea. (2018). Meng, Xiangcai . In: International Journal of Energy Economics and Policy. RePEc:eco:journ2:2018-04-16.

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2019External Effects of the War in Ukraine: The Impact on the Price of Oil in the Short-term. (2019). Hierro, Luis Angel ; Garzon, Antonio Jose. In: International Journal of Energy Economics and Policy. RePEc:eco:journ2:2019-02-31.

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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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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). Zhang, Yue-Jun ; Ma, Chao-Qun ; Yao, Ting. 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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2018Simulating the impact of investment preference on low-carbon transition in power sector. (2018). Chen, Huadong ; Wang, Jianhui ; Cai, Wenjia. In: Applied Energy. RePEc:eee:appene:v:217:y:2018:i:c:p:440-455.

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2018Estimate and characterize PV power at demand-side hybrid system. (2018). Li, Qian ; Xia, Xiaohua ; Wu, Zhou. In: Applied Energy. RePEc:eee:appene:v:218:y:2018:i:c:p:66-77.

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2018A novel method based on numerical fitting for oil price trend forecasting. (2018). Zhao, Lu-Tao ; Zeng, Guan-Rong ; Guo, Shi-Qiu ; Wang, YI. In: Applied Energy. RePEc:eee:appene:v:220:y:2018:i:c:p:154-163.

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2018A novel hybrid method of forecasting crude oil prices using complex network science and artificial intelligence algorithms. (2018). Wang, Minggang ; Stanley, Eugene H ; Tian, Lixin ; Chen, Lin ; Du, Ruijin ; Zhao, Longfeng. In: Applied Energy. RePEc:eee:appene:v:220:y:2018:i:c:p:480-495.

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2018A multi-resolution and multivariate analysis of the dynamic relationships between crude oil and petroleum-product prices. (2018). Polanco, Josue M ; Fernandez-Macho, J ; Abadie, Luis M. In: Applied Energy. RePEc:eee:appene:v:228:y:2018:i:c:p:1550-1560.

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2018Predictive analytics of crude oil prices by utilizing the intelligent model search engine. (2018). Bekiroglu, Korkut ; Lagoa, Constantino ; Su, Rong ; GULAY, Emrah ; Duru, Okan. In: Applied Energy. RePEc:eee:appene:v:228:y:2018:i:c:p:2387-2397.

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2019Emissions trading systems and social equity: A CGE assessment for China. (2019). Huang, Hai ; Wang, Can ; Cai, Wenjia ; Lin, Jiang ; Springer, Cecilia ; Roland-Holst, David. In: Applied Energy. RePEc:eee:appene:v:235:y:2019:i:c:p:1254-1265.

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2019A hybrid forecasting system based on fuzzy time series and multi-objective optimization for wind speed forecasting. (2019). Jiang, Ping ; Heng, Jiani ; Yang, Hufang. In: Applied Energy. RePEc:eee:appene:v:235:y:2019:i:c:p:786-801.

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2019On the impact of outlier filtering on the electricity price forecasting accuracy. (2019). Afanasyev, Dmitriy ; Fedorova, Elena A. In: Applied Energy. RePEc:eee:appene:v:236:y:2019:i:c:p:196-210.

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2019Portfolio selection of distributed energy generation projects considering uncertainty and project interaction under different enterprise strategic scenarios. (2019). Li, Lingwenying ; Ke, Yiming ; Xu, Chuanbo ; Wu, Yunna. In: Applied Energy. RePEc:eee:appene:v:236:y:2019:i:c:p:444-464.

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2019Impact of oil price fluctuations on tanker maritime network structure and traffic flow changes. (2019). Yu, Hongchu ; Chen, Jinhai ; Mei, Qiang ; Peng, Peng ; Zhang, Hengcai ; Murray, Alan T ; Lu, Feng ; Fang, Zhixiang. In: Applied Energy. RePEc:eee:appene:v:237:y:2019:i:c:p:390-403.

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2018International stock market contagion: A CEEMDAN wavelet analysis. (2018). Zhou, Zhongbao ; Li, Shuxian ; Lin, Ling. In: Economic Modelling. RePEc:eee:ecmode:v:72:y:2018:i:c:p:333-352.

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2018Forecasting the prices of crude oil using the predictor, economic and combined constraints. (2018). Yi, Yongsheng ; Huang, Dengshi ; Zhang, Yaojie ; Ma, Feng. In: Economic Modelling. RePEc:eee:ecmode:v:75:y:2018:i:c:p:237-245.

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2017Can investor attention predict oil prices?. (2017). Yin, Libo ; Han, Liyan ; 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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2018Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks. (2018). Weron, Rafał ; Ziel, Florian. In: Energy Economics. RePEc:eee:eneeco:v:70:y:2018:i:c:p:396-420.

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2018Forecasting the WTI crude oil price by a hybrid-refined method. (2018). Chai, Jian ; Li, Jie-Xun ; Zhang, Zhe George ; Zhou, Xiao-Yang ; Xing, Li-Min. In: Energy Economics. RePEc:eee:eneeco:v:71:y:2018:i:c:p:114-127.

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2018A novel approach for oil price forecasting based on data fluctuation network. (2018). Zhou, Peng ; Tian, Lixin ; Wang, Minggang. In: Energy Economics. RePEc:eee:eneeco:v:71:y:2018:i:c:p:201-212.

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2018Connectedness network and dependence structure mechanism in green investments. (2018). Lundgren, Amanda Ivarsson ; Kang, Sang Hoon ; Uddin, Gazi Salah ; Milicevic, Adriana. In: Energy Economics. RePEc:eee:eneeco:v:72:y:2018:i:c:p:145-153.

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2018The prediction of oil price turning points with log-periodic power law and multi-population genetic algorithm. (2018). Cheng, Fangzheng ; Li, Shanling ; Fan, Dandan. In: Energy Economics. RePEc:eee:eneeco:v:72:y:2018:i:c:p:341-355.

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2018Forecasting crude oil prices by a semiparametric Markov switching model: OPEC, WTI, and Brent cases. (2018). Nademi, Arash . In: Energy Economics. RePEc:eee:eneeco:v:74:y:2018:i:c:p:757-766.

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2018Predictability of crude oil prices: An investor perspective. (2018). Liu, LI ; Yang, LI ; Wang, Yudong. In: Energy Economics. RePEc:eee:eneeco:v:75:y:2018:i:c:p:193-205.

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2018Information spillovers and connectedness networks in the oil and gas markets. (2018). Ji, Qiang ; Tiwari, Aviral Kumar ; Geng, Jiang-Bo. In: Energy Economics. RePEc:eee:eneeco:v:75:y:2018:i:c:p:71-84.

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2018Interval decomposition ensemble approach for crude oil price forecasting. (2018). Sun, Shaolong ; Wei, Yunjie ; Wang, Shouyang. In: Energy Economics. RePEc:eee:eneeco:v:76:y:2018:i:c:p:274-287.

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2019A multiscale analysis for carbon price drivers. (2019). Wei, Yi-Ming ; Xie, Rui ; He, Kaijian ; Wang, Ping ; Han, Dong ; Ye, Shunxin ; Zhu, Bangzhu. In: Energy Economics. RePEc:eee:eneeco:v:78:y:2019:i:c:p:202-216.

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2019The VEC-NAR model for short-term forecasting of oil prices. (2019). Wei, Yi-Ming ; Cheng, Fangzheng ; Fan, Tijun ; Li, Tian. In: Energy Economics. RePEc:eee:eneeco:v:78:y:2019:i:c:p:656-667.

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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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2018Low carbon transition in a distributed energy system regulated by localized energy markets. (2018). Wu, Xifeng ; Chen, YU ; Lou, Yuting ; Xu, Yuechao. In: Energy Policy. RePEc:eee:enepol:v:122:y:2018:i:c:p:474-485.

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2019Making incentive policies more effective: An agent-based model for energy-efficiency retrofit in China. (2019). Shen, Geoffrey Qiping ; Hong, Jingke ; Yu, Tao ; Liang, Xin. In: Energy Policy. RePEc:eee:enepol:v:126:y:2019:i:c:p:177-189.

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2019Public perceptions and acceptance of nuclear energy in China: The role of public knowledge, perceived benefit, perceived risk and public engagement. (2019). Li, Jun ; Lin, Shoufu ; Wang, Jing. In: Energy Policy. RePEc:eee:enepol:v:126:y:2019:i:c:p:352-360.

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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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2018An intuitionistic fuzzy multi-criteria framework for large-scale rooftop PV project portfolio selection: Case study in Zhejiang, China. (2018). Wu, Yunna ; Sun, Xiaokun ; Chen, Kaifeng ; Ke, Yiming ; Xu, Chuanbo. In: Energy. RePEc:eee:energy:v:143:y:2018:i:c:p:295-309.

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2018Deep belief network based ensemble approach for cooling load forecasting of air-conditioning system. (2018). Fu, Guoyin. In: Energy. RePEc:eee:energy:v:148:y:2018:i:c:p:269-282.

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2018Oil price forecasting using a hybrid model. (2018). Safari, Ali ; Davallou, Maryam. In: Energy. RePEc:eee:energy:v:148:y:2018:i:c:p:49-58.

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2018A novel decompose-ensemble methodology with AIC-ANN approach for crude oil forecasting. (2018). Ding, Yishan . In: Energy. RePEc:eee:energy:v:154:y:2018:i:c:p:328-336.

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2018Intelligent techniques for forecasting electricity consumption of buildings. (2018). Amber, K P ; Khan, M S ; Usman, M ; Kousar, A ; Aslam, M W ; Ahmad, R. In: Energy. RePEc:eee:energy:v:157:y:2018:i:c:p:886-893.

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2018A hybrid model based on selective ensemble for energy consumption forecasting in China. (2018). Xiao, Jin ; Huang, Jing ; Liu, Dunhu ; Xie, Ling. In: Energy. RePEc:eee:energy:v:159:y:2018:i:c:p:534-546.

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2018A novel robust ensemble model integrated extreme learning machine with multi-activation functions for energy modeling and analysis: Application to petrochemical industry. (2018). Zhang, Xiao-Han ; Xu, Yuan ; He, Yan-Lin ; Zhu, Qun-Xiong. In: Energy. RePEc:eee:energy:v:162:y:2018:i:c:p:593-602.

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2018Improving Hilbert–Huang transform for energy-correlation fluctuation in hydraulic engineering. (2018). Lu, Shibao ; Xue, Yangang ; Jiang, Shuli ; Skitmore, Martin ; Li, Wei ; Shang, Yizi ; Zhang, Xiaoling. In: Energy. RePEc:eee:energy:v:164:y:2018:i:c:p:1341-1350.

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2019Crude oil price prediction model with long short term memory deep learning based on prior knowledge data transfer. (2019). Cen, Zhongpei ; Wang, Jun. In: Energy. RePEc:eee:energy:v:169:y:2019:i:c:p:160-171.

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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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2018Crude oil price forecasting based on internet concern using an extreme learning machine. (2018). Wang, Jue ; Hyndman, Rob J ; Athanasopoulos, George. In: International Journal of Forecasting. RePEc:eee:intfor:v:34:y:2018:i:4:p:665-677.

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2019Online big data-driven oil consumption forecasting with Google trends. (2019). Yu, Lean ; Yang, Zebin ; Tang, Ling ; Zhao, Yaqing. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:1:p:213-223.

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

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2017Price forecasting in the precious metal market: A multivariate EMD denoising approach. (2017). He, Kaijian ; Chen, Yanhui. In: Resources Policy. RePEc:eee:jrpoli:v:54:y:2017:i:c:p:9-24.

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2018Estimating the impact of Chinas export policy on tin prices: a mode decomposition counterfactual analysis method. (2018). Zhu, Yongguang ; Ali, Saleem Hassan ; Cheng, Jinhua ; Xu, Deyi. In: Resources Policy. RePEc:eee:jrpoli:v:59:y:2018:i:c:p:250-264.

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2019Can economic policy uncertainty, oil prices, and investor sentiment predict Islamic stock returns? A multi-scale perspective. (2019). Hadhri, Sinda ; Ftiti, Zied. In: Pacific-Basin Finance Journal. RePEc:eee:pacfin:v:53:y:2019:i:c:p:40-55.

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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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2018Multi-step-ahead crude oil price forecasting using a hybrid grey wave model. (2018). Chen, Yanhui ; Zheng, Aibing ; Zhang, Chuan. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:501:y:2018:i:c:p:98-110.

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2018Oil–gold time varying nexus: A time–frequency analysis. (2018). Khalfaoui, Rabeh . In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:503:y:2018:i:c:p:86-104.

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2018Multifractal detrended cross-correlation analysis of carbon emission allowance and stock returns. (2018). Fang, Sheng ; Qu, Ling ; Li, Jianfeng ; Lu, Xinsheng. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:509:y:2018:i:c:p:551-566.

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2018Forecasting exchange rate using Variational Mode Decomposition and entropy theory. (2018). He, Kaijian ; Chen, Yanhui. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:510:y:2018:i:c:p:15-25.

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2019Improved EEMD-based crude oil price forecasting using LSTM networks. (2019). Wu, Yu-Xi ; Zhu, Jia-Qi. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:516:y:2019:i:c:p:114-124.

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2019Modeling stock market volatility using new HAR-type models. (2019). Lin, Boqiang ; Gong, XU. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:516:y:2019:i:c:p:194-211.

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2019Examining the multi-timescales of European carbon market with grey relational analysis and empirical mode decomposition. (2019). Zhu, Bangzhu ; Ye, Shunxin ; Yuan, Lili. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:517:y:2019:i:c:p:392-399.

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2019Carbon price forecasting with variational mode decomposition and optimal combined model. (2019). Zhou, Ligang ; Liu, Jinpei ; Chen, Huayou ; Wu, Peng ; Zhu, Jiaming. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:519:y:2019:i:c:p:140-158.

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2019Evolutionary support vector machine for RMB exchange rate forecasting. (2019). Fu, Sibao ; Li, Hongtao ; Sun, Shaolong. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:521:y:2019:i:c:p:692-704.

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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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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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2018Aligning renewable energy targets with carbon emissions trading to achieve Chinas INDCs: A general equilibrium assessment. (2018). Dai, Hancheng ; Masui, Toshihiko ; Liu, Jingyu ; Xie, Yang. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:82:y:2018:i:p3:p:4121-4131.

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2018Forecasting methods in energy planning models. (2018). Debnath, Kumar Biswajit ; Mourshed, Monjur. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:88:y:2018:i:c:p:297-325.

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2018A review of China’s carbon trading market. (2018). Weng, Qingqing ; Xu, HE. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:91:y:2018:i:c:p:613-619.

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2018Risk contribution of crude oil to industry stock returns. (2018). Yu, Honghai ; Yan, Panpan ; Fang, Libing ; Du, Donglei. In: International Review of Economics & Finance. RePEc:eee:reveco:v:58:y:2018:i:c:p:179-199.

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2019The Ukrainian crisis, economic sanctions, oil shock and commodity currency: Analysis based on EMD approach. (2019). Korotin, Vladimir ; Korolkova, Inna ; Korotina, Olesya ; Popov, Victor ; Dolgonosov, Maxim. In: Research in International Business and Finance. RePEc:eee:riibaf:v:48:y:2019:i:c:p:156-168.

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2018Analysis and Bayes statistical probability inference of crude oil price change point. (2018). Chai, Jian ; Liu, Hongtao ; Lai, Kin Keung ; Wang, Shouyang ; Hu, YI ; Lu, Quanying . In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:126:y:2018:i:c:p:271-283.

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2019Forecasting the demand of the aviation industry using hybrid time series SARIMA-SVR approach. (2019). Xu, Shuojiang ; Zhang, Tiantian ; Chan, Hing Kai. In: Transportation Research Part E: Logistics and Transportation Review. RePEc:eee:transe:v:122:y:2019:i:c:p:169-180.

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2019From a feeder port to a hub port: The evolution pathways, dynamics and perspectives of Ningbo-Zhoushan port (China). (2019). Feng, Hongxiang ; Zheng, Pengjun ; Grifoll, Manel. In: Transport Policy. RePEc:eee:trapol:v:76:y:2019:i:c:p:21-35.

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2018Financial time series forecasting using empirical mode decomposition and support vector regression. (2018). Nava, Noemi ; Aste, Tomaso ; di Matteo, Tiziana. In: LSE Research Online Documents on Economics. RePEc:ehl:lserod:91028.

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2018Forecasting the trends of global oil price based on CMI-model of economic cycles. (2018). Bandura, O. In: Economy and Forecasting. RePEc:eip:journl:y:2018:i:2:p:91-110.

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2017Ice Cover Prediction of a Power Grid Transmission Line Based on Two-Stage Data Processing and Adaptive Support Vector Machine Optimized by Genetic Tabu Search. (2017). Xu, Xiaomin ; Wang, Keke ; Zhang, Lihui ; Niu, Dongxiao. In: Energies. RePEc:gam:jeners:v:10:y:2017:i:11:p:1862-:d:118741.

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2017Coordinated Control of a Wind-Methanol-Fuel Cell System with Hydrogen Storage. (2017). Yuan, Tiejiang ; Zhu, Quanmin ; Cao, Wenping ; Chen, Xiangping ; Duan, Qingxi. In: Energies. RePEc:gam:jeners:v:10:y:2017:i:12:p:2053-:d:121479.

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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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More than 100 citations found, this list is not complete...

Works by Lean Yu:


YearTitleTypeCited
2014A novel data-characteristic-driven modeling methodology for nuclear energy consumption forecasting In: Applied Energy.
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article10
2015A decomposition–ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting In: Applied Energy.
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article23
2012A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting In: Applied Energy.
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article19
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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article3
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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article11
2008Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm In: Energy Economics.
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article91
2009Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method In: Energy Economics.
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article38
2014A compressed sensing based AI learning paradigm for crude oil price forecasting In: Energy Economics.
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article15
2015Linear and nonlinear Granger causality investigation between carbon market and crude oil market: A multi-scale approach In: Energy Economics.
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article20
2015Carbon emissions trading scheme exploration in China: A multi-agent-based model In: Energy Policy.
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article33
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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article13
2012Crude oil price analysis and forecasting using wavelet decomposed ensemble model In: Energy.
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article31
2015Electricity price forecasting with a BED (Bivariate EMD Denoising) methodology In: Energy.
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article12
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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article1
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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article5
2012Genetic algorithm-based multi-criteria project portfolio selection In: Annals of Operations Research.
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article7
2015Intelligent knowledge management in operations research In: Annals of Operations Research.
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