IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v215y2021ipbs0360544220322593.html
   My bibliography  Save this article

Using long short-term memory model to study risk assessment and prediction of China’s oil import from the perspective of resilience theory

Author

Listed:
  • Chen, Sai
  • Song, Yan
  • Ding, Yueting
  • Zhang, Ming
  • Nie, Rui

Abstract

Oil has to be redistributed around the world because of their uneven distribution. Therefore, the method of accurately identifying and forecasting the risks of oil import has always been the focus of research. Thus, we re-examined the risk of oil import from the whole process of oil import. Based on resilience theory, a framework for risk assessment was established by referring to the 4 A factor (availability, accessibility, affordability and acceptability). Then, long and short term memory network model (LSTM) was constructed and trained to forecast the risk of oil import. Taking the oil import network in China as an example, by comparing with the BP, SVM and CNN model, the better fitting effect and higher forecasting accuracy of LSTM model were verified; According to the results, from 2011 to 2018, China’s oil import system was less resilient and experienced different stages, which are driven by different dominate factors. Besides, availability and affordability risks remain severe in the foreseeable future. Therefore, China should optimize the combination of exporters, actively participate in the development of transportation routes, establish and improve China’s crude oil futures market, and plan the layout in advance to avoid oil import risks.

Suggested Citation

  • Chen, Sai & Song, Yan & Ding, Yueting & Zhang, Ming & Nie, Rui, 2021. "Using long short-term memory model to study risk assessment and prediction of China’s oil import from the perspective of resilience theory," Energy, Elsevier, vol. 215(PB).
    • Handle: RePEc:eee:energy:v:215:y:2021:i:pb:s0360544220322593
    DOI: 10.1016/j.energy.2020.119152
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544220322593
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2020.119152?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Cohen, Gail & Joutz, Frederick & Loungani, Prakash, 2011. "Measuring energy security: Trends in the diversification of oil and natural gas supplies," Energy Policy, Elsevier, vol. 39(9), pages 4860-4869, September.
    2. Kim, Tae-Young & Cho, Sung-Bae, 2019. "Predicting residential energy consumption using CNN-LSTM neural networks," Energy, Elsevier, vol. 182(C), pages 72-81.
    3. Månsson, André & Johansson, Bengt & Nilsson, Lars J., 2014. "Assessing energy security: An overview of commonly used methodologies," Energy, Elsevier, vol. 73(C), pages 1-14.
    4. Chuang, Ming Chih & Ma, Hwong Wen, 2013. "An assessment of Taiwan’s energy policy using multi-dimensional energy security indicators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 301-311.
    5. Sharifi, Ayyoob & Yamagata, Yoshiki, 2016. "Principles and criteria for assessing urban energy resilience: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1654-1677.
    6. Wang, Jian Qi & Du, Yu & Wang, Jing, 2020. "LSTM based long-term energy consumption prediction with periodicity," Energy, Elsevier, vol. 197(C).
    7. Wu, Gang & Wei, Yi-Ming & Fan, Ying & Liu, Lan-Cui, 2007. "An empirical analysis of the risk of crude oil imports in China using improved portfolio approach," Energy Policy, Elsevier, vol. 35(8), pages 4190-4199, August.
    8. Sovacool, Benjamin K. & Mukherjee, Ishani & Drupady, Ira Martina & D’Agostino, Anthony L., 2011. "Evaluating energy security performance from 1990 to 2010 for eighteen countries," Energy, Elsevier, vol. 36(10), pages 5846-5853.
    9. Chiroma, Haruna & Abdulkareem, Sameem & Herawan, Tutut, 2015. "Evolutionary Neural Network model for West Texas Intermediate crude oil price prediction," Applied Energy, Elsevier, vol. 142(C), pages 266-273.
    10. Chen, Sai & Zhang, Ming & Ding, Yueting & Nie, Rui, 2020. "Resilience of China's oil import system under external shocks: A system dynamics simulation analysis," Energy Policy, Elsevier, vol. 146(C).
    11. Wu, Yu-Xi & Wu, Qing-Biao & Zhu, Jia-Qi, 2019. "Improved EEMD-based crude oil price forecasting using LSTM networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 114-124.
    12. Zhang, Hai-Ying & Ji, Qiang & Fan, Ying, 2013. "An evaluation framework for oil import security based on the supply chain with a case study focused on China," Energy Economics, Elsevier, vol. 38(C), pages 87-95.
    13. Root, Franklin R., 1968. "The expropriation experience of American companies : What happened to 38 companies," Business Horizons, Elsevier, vol. 11(2), pages 69-74, April.
    14. Yang, Yuying & Li, Jianping & Sun, Xiaolei & Chen, Jianming, 2014. "Measuring external oil supply risk: A modified diversification index with country risk and potential oil exports," Energy, Elsevier, vol. 68(C), pages 930-938.
    15. Sun, Xiaolei & Liu, Chang & Chen, Xiuwen & Li, Jianping, 2017. "Modeling systemic risk of crude oil imports: Case of China’s global oil supply chain," Energy, Elsevier, vol. 121(C), pages 449-465.
    16. Laib, Oussama & Khadir, Mohamed Tarek & Mihaylova, Lyudmila, 2019. "Toward efficient energy systems based on natural gas consumption prediction with LSTM Recurrent Neural Networks," Energy, Elsevier, vol. 177(C), pages 530-542.
    17. Sovacool, Benjamin K. & Mukherjee, Ishani, 2011. "Conceptualizing and measuring energy security: A synthesized approach," Energy, Elsevier, vol. 36(8), pages 5343-5355.
    18. Chengdong Li & Zixiang Ding & Jianqiang Yi & Yisheng Lv & Guiqing Zhang, 2018. "Deep Belief Network Based Hybrid Model for Building Energy Consumption Prediction," Energies, MDPI, vol. 11(1), pages 1-26, January.
    19. Yao, Lixia & Chang, Youngho, 2014. "Energy security in China: A quantitative analysis and policy implications," Energy Policy, Elsevier, vol. 67(C), pages 595-604.
    20. Sun, Mei & Gao, Cuixia & Shen, Bo, 2014. "Quantifying China's oil import risks and the impact on the national economy," Energy Policy, Elsevier, vol. 67(C), pages 605-611.
    21. O'Brien, Geoff & Hope, Alex, 2010. "Localism and energy: Negotiating approaches to embedding resilience in energy systems," Energy Policy, Elsevier, vol. 38(12), pages 7550-7558, December.
    22. Ciulla, G. & D'Amico, A., 2019. "Building energy performance forecasting: A multiple linear regression approach," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    23. Chengdong Li & Zixiang Ding & Dongbin Zhao & Jianqiang Yi & Guiqing Zhang, 2017. "Building Energy Consumption Prediction: An Extreme Deep Learning Approach," Energies, MDPI, vol. 10(10), pages 1-20, October.
    24. Rose, Adam & Wei, Dan & Paul, Donald, 2018. "Economic consequences of and resilience to a disruption of petroleum trade: The role of seaports in U.S. energy security," Energy Policy, Elsevier, vol. 115(C), pages 584-615.
    25. Wang, Qiang & Jiang, Feng, 2019. "Integrating linear and nonlinear forecasting techniques based on grey theory and artificial intelligence to forecast shale gas monthly production in Pennsylvania and Texas of the United States," Energy, Elsevier, vol. 178(C), pages 781-803.
    26. Klein, Tony & Walther, Thomas, 2016. "Oil price volatility forecast with mixture memory GARCH," Energy Economics, Elsevier, vol. 58(C), pages 46-58.
    27. Ding, Yueting & Zhang, Ming & Chen, Sai & Nie, Rui, 2020. "Assessing the resilience of China’s natural gas importation under network disruptions," Energy, Elsevier, vol. 211(C).
    28. Jianping Li & Xiaolei Sun & Wan He & Ling Tang & Weixuan Xu, 2009. "Modeling Dynamic Correlations And Spillover Effects Of Country Risk: Evidence From Russia And Kazakhstan," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 8(04), pages 803-818.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chen, Sai & Ding, Yueting & Song, Yan & Zhang, Ming & Nie, Rui, 2023. "Study on China's energy system resilience under the scenarios of long-term shortage of imported oil," Energy, Elsevier, vol. 270(C).
    2. Wang, Jun & Cao, Junxing & Fu, Jingcheng & Xu, Hanqing, 2022. "Missing well logs prediction using deep learning integrated neural network with the self-attention mechanism," Energy, Elsevier, vol. 261(PB).
    3. Xie, Minghua & Min, Jialin & Fang, Xingming & Sun, Chuanwang & Zhang, Zhen, 2022. "Policy selection based on China's natural gas security evaluation and comparison," Energy, Elsevier, vol. 247(C).
    4. Usman, Muhammad & Jahanger, Atif & Makhdum, Muhammad Sohail Amjad & Balsalobre-Lorente, Daniel & Bashir, Adnan, 2022. "How do financial development, energy consumption, natural resources, and globalization affect Arctic countries' economic growth and environmental quality? An advanced panel data simulation," Energy, Elsevier, vol. 241(C).
    5. Wu, Wei & Zhang, Tingting & Xie, Xiaomin & Huang, Zhen, 2021. "Regional low carbon development pathways for the Yangtze River Delta region in China," Energy Policy, Elsevier, vol. 151(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sun, Xiaolei & Liu, Chang & Chen, Xiuwen & Li, Jianping, 2017. "Modeling systemic risk of crude oil imports: Case of China’s global oil supply chain," Energy, Elsevier, vol. 121(C), pages 449-465.
    2. Ang, B.W. & Choong, W.L. & Ng, T.S., 2015. "Energy security: Definitions, dimensions and indexes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1077-1093.
    3. Narula, Kapil & Reddy, B. Sudhakara, 2016. "A SES (sustainable energy security) index for developing countries," Energy, Elsevier, vol. 94(C), pages 326-343.
    4. Mohsin, M. & Zhou, P. & Iqbal, N. & Shah, S.A.A., 2018. "Assessing oil supply security of South Asia," Energy, Elsevier, vol. 155(C), pages 438-447.
    5. Gasser, Patrick, 2020. "A review on energy security indices to compare country performances," Energy Policy, Elsevier, vol. 139(C).
    6. Wang, Kai-Hua & Su, Chi-Wei & Umar, Muhammad, 2021. "Geopolitical risk and crude oil security: A Chinese perspective," Energy, Elsevier, vol. 219(C).
    7. Pin Li & Jinsuo Zhang, 2019. "Is China’s Energy Supply Sustainable? New Research Model Based on the Exponential Smoothing and GM(1,1) Methods," Energies, MDPI, vol. 12(2), pages 1-30, January.
    8. Zhu, Bo & Deng, Yuanyue & Lin, Renda & Hu, Xin & Chen, Pingshe, 2022. "Energy security: Does systemic risk spillover matter? Evidence from China," Energy Economics, Elsevier, vol. 114(C).
    9. Liu, Litao & Cao, Zhi & Liu, Xiaojie & Shi, Lei & Cheng, Shengkui & Liu, Gang, 2020. "Oil security revisited: An assessment based on complex network analysis," Energy, Elsevier, vol. 194(C).
    10. Sato, Masahiro & Kharrazi, Ali & Nakayama, Hirofumi & Kraines, Steven & Yarime, Masaru, 2017. "Quantifying the supplier-portfolio diversity of embodied energy: Strategic implications for strengthening energy resilience," Energy Policy, Elsevier, vol. 105(C), pages 41-52.
    11. Chen, Sai & Zhang, Ming & Ding, Yueting & Nie, Rui, 2020. "Resilience of China's oil import system under external shocks: A system dynamics simulation analysis," Energy Policy, Elsevier, vol. 146(C).
    12. Jason Runge & Radu Zmeureanu, 2021. "A Review of Deep Learning Techniques for Forecasting Energy Use in Buildings," Energies, MDPI, vol. 14(3), pages 1-26, January.
    13. Yang, Yuying & Li, Jianping & Sun, Xiaolei & Chen, Jianming, 2014. "Measuring external oil supply risk: A modified diversification index with country risk and potential oil exports," Energy, Elsevier, vol. 68(C), pages 930-938.
    14. Le, Thai-Ha & Chang, Youngho & Taghizadeh-Hesary, Farhad & Yoshino, Naoyuki, 2019. "Energy insecurity in Asia: A multi-dimensional analysis," Economic Modelling, Elsevier, vol. 83(C), pages 84-95.
    15. Xiaolei Sun & Jun Hao & Jianping Li, 2022. "Multi-objective optimization of crude oil-supply portfolio based on interval prediction data," Annals of Operations Research, Springer, vol. 309(2), pages 611-639, February.
    16. Zhang, Long & Bai, Wuliyasu & Xiao, Huijuan & Ren, Jingzheng, 2021. "Measuring and improving regional energy security: A methodological framework based on both quantitative and qualitative analysis," Energy, Elsevier, vol. 227(C).
    17. Wang, Deqing & Tian, Sihua & Fang, Lei & Xu, Yan, 2020. "A functional index model for dynamically evaluating China's energy security," Energy Policy, Elsevier, vol. 147(C).
    18. Ji, Qiang & Zhang, Hai-Ying & Zhang, Dayong, 2019. "The impact of OPEC on East Asian oil import security: A multidimensional analysis," Energy Policy, Elsevier, vol. 126(C), pages 99-107.
    19. Månsson, André & Johansson, Bengt & Nilsson, Lars J., 2014. "Assessing energy security: An overview of commonly used methodologies," Energy, Elsevier, vol. 73(C), pages 1-14.
    20. Vivoda, Vlado, 2019. "LNG import diversification and energy security in Asia," Energy Policy, Elsevier, vol. 129(C), pages 967-974.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:215:y:2021:i:pb:s0360544220322593. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.