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China’s natural gas production and consumption analysis based on the multicycle Hubbert model and rolling Grey model

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Cited by:

  1. Semenychev, V.K. & Kurkin, E.I. & Semenychev, E.V. & Danilova, A.A., 2017. "Multimodel forecasting of non-renewable resources production," Energy, Elsevier, vol. 130(C), pages 448-460.
  2. Bartłomiej Gaweł & Andrzej Paliński, 2021. "Long-Term Natural Gas Consumption Forecasting Based on Analog Method and Fuzzy Decision Tree," Energies, MDPI, vol. 14(16), pages 1-26, August.
  3. Sharafian, Amir & Talebian, Hoda & Blomerus, Paul & Herrera, Omar & Mérida, Walter, 2017. "A review of liquefied natural gas refueling station designs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 503-513.
  4. Liu, Chong & Wu, Wen-Ze & Xie, Wanli & Zhang, Jun, 2020. "Application of a novel fractional grey prediction model with time power term to predict the electricity consumption of India and China," Chaos, Solitons & Fractals, Elsevier, vol. 141(C).
  5. Syed Aziz Ur Rehman & Yanpeng Cai & Nayyar Hussain Mirjat & Gordhan Das Walasai & Izaz Ali Shah & Sharafat Ali, 2017. "The Future of Sustainable Energy Production in Pakistan: A System Dynamics-Based Approach for Estimating Hubbert Peaks," Energies, MDPI, vol. 10(11), pages 1-24, November.
  6. Wang, Qiang & Song, Xiaoxing & Li, Rongrong, 2018. "A novel hybridization of nonlinear grey model and linear ARIMA residual correction for forecasting U.S. shale oil production," Energy, Elsevier, vol. 165(PB), pages 1320-1331.
  7. Rao, Congjun & Zhang, Yue & Wen, Jianghui & Xiao, Xinping & Goh, Mark, 2023. "Energy demand forecasting in China: A support vector regression-compositional data second exponential smoothing model," Energy, Elsevier, vol. 263(PC).
  8. Li, Jiaman & Dong, Xiucheng & Jiang, Qingzhe & Dong, Kangyin & Liu, Guixian, 2021. "Natural gas trade network of countries and regions along the belt and road: Where to go in the future?," Resources Policy, Elsevier, vol. 71(C).
  9. Wang, Jianzhou & Zhou, Yilin & Li, Zhiwu, 2022. "Hour-ahead photovoltaic generation forecasting method based on machine learning and multi objective optimization algorithm," Applied Energy, Elsevier, vol. 312(C).
  10. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei & Du, Ruijin & Lu, Longxi & He, Yu, 2017. "The effect of energy construction adjustment on the dynamical evolution of energy-saving and emission-reduction system in China," Applied Energy, Elsevier, vol. 196(C), pages 180-189.
  11. Zha, Wenshu & Liu, Yuping & Wan, Yujin & Luo, Ruilan & Li, Daolun & Yang, Shan & Xu, Yanmei, 2022. "Forecasting monthly gas field production based on the CNN-LSTM model," Energy, Elsevier, vol. 260(C).
  12. Ding, Song, 2018. "A novel self-adapting intelligent grey model for forecasting China's natural-gas demand," Energy, Elsevier, vol. 162(C), pages 393-407.
  13. Feijoo, Felipe & Iyer, Gokul C. & Avraam, Charalampos & Siddiqui, Sauleh A. & Clarke, Leon E. & Sankaranarayanan, Sriram & Binsted, Matthew T. & Patel, Pralit L. & Prates, Nathalia C. & Torres-Alfaro,, 2018. "The future of natural gas infrastructure development in the United states," Applied Energy, Elsevier, vol. 228(C), pages 149-166.
  14. Sun, Yunpeng & Guan, Weimin & Mehmood, Usman & Yang, Xiaodong, 2022. "Asymmetric impacts of natural resources on ecological footprints: Exploring the role of economic growth, FDI and renewable energy in G-11 countries," Resources Policy, Elsevier, vol. 79(C).
  15. Lu Bai & Jianzhou Wang & Xuejiao Ma & Haiyan Lu, 2018. "Air Pollution Forecasts: An Overview," IJERPH, MDPI, vol. 15(4), pages 1-44, April.
  16. Li, Jingrui & Wang, Rui & Wang, Jianzhou & Li, Yifan, 2018. "Analysis and forecasting of the oil consumption in China based on combination models optimized by artificial intelligence algorithms," Energy, Elsevier, vol. 144(C), pages 243-264.
  17. Ali Rehman & Muhammad Abdul Qyyum & Ashfaq Ahmad & Saad Nawaz & Moonyong Lee & Li Wang, 2020. "Performance Enhancement of Nitrogen Dual Expander and Single Mixed Refrigerant LNG Processes Using Jaya Optimization Approach," Energies, MDPI, vol. 13(12), pages 1-27, June.
  18. Li, Nu & Wang, Jianliang & Wu, Lifeng & Bentley, Yongmei, 2021. "Predicting monthly natural gas production in China using a novel grey seasonal model with particle swarm optimization," Energy, Elsevier, vol. 215(PA).
  19. Hufang Yang & Zaiping Jiang & Haiyan Lu, 2017. "A Hybrid Wind Speed Forecasting System Based on a ‘Decomposition and Ensemble’ Strategy and Fuzzy Time Series," Energies, MDPI, vol. 10(9), pages 1-30, September.
  20. Guo-Feng Fan & An Wang & Wei-Chiang Hong, 2018. "Combining Grey Model and Self-Adapting Intelligent Grey Model with Genetic Algorithm and Annual Share Changes in Natural Gas Demand Forecasting," Energies, MDPI, vol. 11(7), pages 1-21, June.
  21. Wang, Tiantian & Qu, Wan & Zhang, Dayong & Ji, Qiang & Wu, Fei, 2022. "Time-varying determinants of China's liquefied natural gas import price: A dynamic model averaging approach," Energy, Elsevier, vol. 259(C).
  22. Lu, Hongfang & Ma, Xin & Azimi, Mohammadamin, 2020. "US natural gas consumption prediction using an improved kernel-based nonlinear extension of the Arps decline model," Energy, Elsevier, vol. 194(C).
  23. Khaliq Majeed & Muhammad Abdul Qyyum & Alam Nawaz & Ashfaq Ahmad & Muhammad Naqvi & Tianbiao He & Moonyong Lee, 2020. "Shuffled Complex Evolution-Based Performance Enhancement and Analysis of Cascade Liquefaction Process for Large-Scale LNG Production," Energies, MDPI, vol. 13(10), pages 1-20, May.
  24. Liu, Hao & Su, Guandong & Okere, Chinedu J. & Li, Guozhang & Wang, Xiangchun & Cai, Yuzhe & Wu, Tong & Zheng, Lihui, 2022. "Working fluid-induced formation damage evaluation for commingled production of multi-layer natural gas reservoirs with flow rate method," Energy, Elsevier, vol. 239(PB).
  25. Xiaoqian Guo & Qiang Yan & Anjian Wang, 2017. "Assessment of Methods for Forecasting Shale Gas Supply in China Based on Economic Considerations," Energies, MDPI, vol. 10(11), pages 1-14, October.
  26. Nan Wei & Changjun Li & Jiehao Duan & Jinyuan Liu & Fanhua Zeng, 2019. "Daily Natural Gas Load Forecasting Based on a Hybrid Deep Learning Model," Energies, MDPI, vol. 12(2), pages 1-15, January.
  27. Xie, Minghua & Wei, Xiaonan & Chen, Chuanglian & Sun, Chuanwang, 2022. "China's natural gas production peak and energy return on investment (EROI): From the perspective of energy security," Energy Policy, Elsevier, vol. 164(C).
  28. Dong, Kangyin & Sun, Renjin & Wu, Jin & Hochman, Gal, 2018. "The growth and development of natural gas supply chains: The case of China and the US," Energy Policy, Elsevier, vol. 123(C), pages 64-71.
  29. Decai Tang & Tingyu Ma & Zhijiang Li & Jiexin Tang & Brandon J. Bethel, 2016. "Trend Prediction and Decomposed Driving Factors of Carbon Emissions in Jiangsu Province during 2015–2020," Sustainability, MDPI, vol. 8(10), pages 1-15, October.
  30. Wang, Tiantian & Zhang, Dayong & Ji, Qiang & Shi, Xunpeng, 2020. "Market reforms and determinants of import natural gas prices in China," Energy, Elsevier, vol. 196(C).
  31. Zhao Luo & Wei Gu & Yong Sun & Xiang Yin & Yiyuan Tang & Xiaodong Yuan, 2016. "Performance Analysis of the Combined Operation of Interconnected-BCCHP Microgrids in China," Sustainability, MDPI, vol. 8(10), pages 1-20, September.
  32. Ofosu-Adarkwa, Jeffrey & Xie, Naiming & Javed, Saad Ahmed, 2020. "Forecasting CO2 emissions of China's cement industry using a hybrid Verhulst-GM(1,N) model and emissions' technical conversion," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
  33. Karadede, Yusuf & Ozdemir, Gultekin & Aydemir, Erdal, 2017. "Breeder hybrid algorithm approach for natural gas demand forecasting model," Energy, Elsevier, vol. 141(C), pages 1269-1284.
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