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Forecasting Natural Gas: A Literature Survey

Author

Listed:
  • Jean Gaston Tamba

    (Department of Thermal and Energy Engineering, University Institute of Technology, University of Douala, PO Box 8698 Douala, Cameroon)

  • Salom Ndjakomo Essiane

    (Laboratory of Technologies and Applied Science, University Institute of Technology, University of Douala, PO Box 8698 Douala, Cameroon,)

  • Emmanuel Flavian Sapnken

    (Laboratory of Technologies and Applied Science, University Institute of Technology, University of Douala, PO Box 8698 Douala, Cameroon,)

  • Francis Djanna Koffi

    (Department of Thermal and Energy Engineering, University Institute of Technology, University of Douala, PO Box 8698 Douala, Cameroon,)

  • Jean Luc Nsouand l

    (Department of Renewable Energy, Higher Institute of the Sahel, University of Maroua, PO Box 46, Maroua, Cameroon)

  • Bozidar Soldo

    (HEP-Plin Ltd., Cara Hadrijana 7, HR-31000 Osijek, Croatia,)

  • Donatien Njomo

    (Environmental Energy Technologies Laboratory, University of Yaound I, PO Box 812, Yaound , Cameroon.)

Abstract

This work presents a state-of-the-art survey of published papers that forecast natural gas production, consumption or demand, prices and income elasticity, market volatility and hike in prices. New models and techniques that have recently been applied in the field of natural gas forecasting have discussed with highlights on various methodologies, their specifics, data type, data size, data source, results and conclusions. Moreover, we undertook the difficult task of classifying existing models that have been applied in this field by giving their performance for instance. Our objective is to provide a synthesis of published papers in the field of natural gas forecasting, insights on modeling issues to achieve usable results, and the future research directions. This work will help future researchers in the area of forecasting no matter the methodological approach and nature of energy source used.

Suggested Citation

  • Jean Gaston Tamba & Salom Ndjakomo Essiane & Emmanuel Flavian Sapnken & Francis Djanna Koffi & Jean Luc Nsouand l & Bozidar Soldo & Donatien Njomo, 2018. "Forecasting Natural Gas: A Literature Survey," International Journal of Energy Economics and Policy, Econjournals, vol. 8(3), pages 216-249.
    • Handle: RePEc:eco:journ2:2018-03-28
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    References listed on IDEAS

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    1. Siemek, Jakub & Nagy, Stanislaw & Rychlicki, Stanislaw, 2003. "Estimation of natural-gas consumption in Poland based on the logistic-curve interpretation," Applied Energy, Elsevier, vol. 75(1-2), pages 1-7, May.
    2. Satman, A & Yalcinkaya, N, 1999. "Heating and cooling degree-hours for Turkey," Energy, Elsevier, vol. 24(10), pages 833-840.
    3. Ernst R. Berndt & G. Campbell Watkins, 1977. "Demand for Natural Gas: Residential and Commercial Markets in Ontario and British Columbia," Canadian Journal of Economics, Canadian Economics Association, vol. 10(1), pages 97-111, February.
    4. Yoo, Seung-Hoon & Lim, Hea-Jin & Kwak, Seung-Jun, 2009. "Estimating the residential demand function for natural gas in Seoul with correction for sample selection bias," Applied Energy, Elsevier, vol. 86(4), pages 460-465, April.
    5. Paltsev, Sergey, 2014. "Scenarios for Russia's natural gas exports to 2050," Energy Economics, Elsevier, vol. 42(C), pages 262-270.
    6. Yu, Feng & Xu, Xiaozhong, 2014. "A short-term load forecasting model of natural gas based on optimized genetic algorithm and improved BP neural network," Applied Energy, Elsevier, vol. 134(C), pages 102-113.
    7. Sailor, David J. & Muñoz, J.Ricardo, 1997. "Sensitivity of electricity and natural gas consumption to climate in the U.S.A.—Methodology and results for eight states," Energy, Elsevier, vol. 22(10), pages 987-998.
    8. Gómez, Antonio & Dopazo, César & Fueyo, Norberto, 2015. "The future of energy in Uzbekistan," Energy, Elsevier, vol. 85(C), pages 329-338.
    9. Solarin, Sakiru Adebola & Ozturk, Ilhan, 2016. "The relationship between natural gas consumption and economic growth in OPEC members," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1348-1356.
    10. Wadud, Zia & Dey, Himadri S. & Kabir, Md. Ashfanoor & Khan, Shahidul I., 2011. "Modeling and forecasting natural gas demand in Bangladesh," Energy Policy, Elsevier, vol. 39(11), pages 7372-7380.
    11. Herbert, John H. & Sitzer, Scott & Eades-Pryor, Yvonne, 1987. "A statistical evaluation of aggregate monthly industrial demand for natural gas in the U.S.A," Energy, Elsevier, vol. 12(12), pages 1233-1238.
    12. Özge Dilaver & Zafer Dilaver & Lester C Hunt, 2013. "What Drives Natural Gas Consumption in Europe? Analysis and Projections," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 143, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    13. Vondrácek, Jirí & Pelikán, Emil & Konár, Ondrej & Cermáková, Jana & Eben, Krystof & Malý, Marek & Brabec, Marek, 2008. "A statistical model for the estimation of natural gas consumption," Applied Energy, Elsevier, vol. 85(5), pages 362-370, May.
    14. Zhu, L. & Li, M.S. & Wu, Q.H. & Jiang, L., 2015. "Short-term natural gas demand prediction based on support vector regression with false neighbours filtered," Energy, Elsevier, vol. 80(C), pages 428-436.
    15. Maggio, G. & Cacciola, G., 2009. "A variant of the Hubbert curve for world oil production forecasts," Energy Policy, Elsevier, vol. 37(11), pages 4761-4770, November.
    16. Erdogdu, Erkan, 2010. "Natural gas demand in Turkey," Applied Energy, Elsevier, vol. 87(1), pages 211-219, January.
    17. Lin, Boqiang & Wang, Ting, 2012. "Forecasting natural gas supply in China: Production peak and import trends," Energy Policy, Elsevier, vol. 49(C), pages 225-233.
    18. Brabec, Marek & Konár, Ondrej & Pelikán, Emil & Malý, Marek, 2008. "A nonlinear mixed effects model for the prediction of natural gas consumption by individual customers," International Journal of Forecasting, Elsevier, vol. 24(4), pages 659-678.
    19. Jiang, BinBin & Wenying, Chen & Yuefeng, Yu & Lemin, Zeng & Victor, David, 2008. "The future of natural gas consumption in Beijing, Guangdong and Shanghai: An assessment utilizing MARKAL," Energy Policy, Elsevier, vol. 36(9), pages 3286-3299, September.
    20. Lee, Ray-Shine & Singh, Nirvikar, 1994. "Patterns in Residential Gas and Electricity Consumption: An Econometric Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(2), pages 233-241, April.
    21. S. M. Tinic & B. M. Harnden & C. T. L. Janssen, 1973. "Estimation of Rural Demand for Natural Gas," Management Science, INFORMS, vol. 20(4-Part-II), pages 604-616, December.
    22. Narjes Zamani, 2016. "How the Crude Oil Market Affects the Natural Gas Market? Demand and Supply Shocks," International Journal of Energy Economics and Policy, Econjournals, vol. 6(2), pages 217-221.
    23. Philip Ejoor Agbonifo, 2016. "Natural Gas Distribution Infrastructure and the Quest for Environmental Sustainability in the Niger Delta: The Prospect of Natural Gas Utilization in Nigeria," International Journal of Energy Economics and Policy, Econjournals, vol. 6(3), pages 442-448.
    24. Marek Brabec & Ondřej Konár & Marek Malý & Emil Pelikán & Jiří Vondráček, 2009. "A statistical model for natural gas standardized load profiles," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(1), pages 123-139, February.
    25. Forouzanfar, Mehdi & Doustmohammadi, Ali & Menhaj, M. Bagher & Hasanzadeh, Samira, 2010. "Modeling and estimation of the natural gas consumption for residential and commercial sectors in Iran," Applied Energy, Elsevier, vol. 87(1), pages 268-274, January.
    26. Sarak, H & Satman, A, 2003. "The degree-day method to estimate the residential heating natural gas consumption in Turkey: a case study," Energy, Elsevier, vol. 28(9), pages 929-939.
    27. Fan, Ying & Xia, Yan, 2012. "Exploring energy consumption and demand in China," Energy, Elsevier, vol. 40(1), pages 23-30.
    28. Tahat, M. A. & Al-Hinai, H. & Probert, S. D., 2002. "Performance of a low-energy-consumption house experiencing a Mediterranean climate," Applied Energy, Elsevier, vol. 71(1), pages 1-13, January.
    29. Thaler, Marko & Grabec, Igor & Poredoš, Alojz, 2005. "Prediction of energy consumption and risk of excess demand in a distribution system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 46-53.
    30. Darda, Md Abud & Guseo, Renato & Mortarino, Cinzia, 2015. "Nonlinear production path and an alternative reserves estimate for South Asian natural gas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 654-664.
    31. Huntington, Hillard G., 2007. "Industrial natural gas consumption in the United States: An empirical model for evaluating future trends," Energy Economics, Elsevier, vol. 29(4), pages 743-759, July.
    32. Potocnik, Primoz & Thaler, Marko & Govekar, Edvard & Grabec, Igor & Poredos, Alojz, 2007. "Forecasting risks of natural gas consumption in Slovenia," Energy Policy, Elsevier, vol. 35(8), pages 4271-4282, August.
    33. Chkili, Walid & Hammoudeh, Shawkat & Nguyen, Duc Khuong, 2014. "Volatility forecasting and risk management for commodity markets in the presence of asymmetry and long memory," Energy Economics, Elsevier, vol. 41(C), pages 1-18.
    34. repec:bla:ecorec:v:72:y:1996:i:219:p:319-31 is not listed on IDEAS
    35. Yu, Yihua & Zheng, Xinye & Han, Yi, 2014. "On the demand for natural gas in urban China," Energy Policy, Elsevier, vol. 70(C), pages 57-63.
    36. Wang, Jianliang & Feng, Lianyong & Zhao, Lin & Snowden, Simon, 2013. "China's natural gas: Resources, production and its impacts," Energy Policy, Elsevier, vol. 55(C), pages 690-698.
    37. Liu, Lon-Mu & Lin, Maw-Wen, 1991. "Forecasting residential consumption of natural gas using monthly and quarterly time series," International Journal of Forecasting, Elsevier, vol. 7(1), pages 3-16, May.
    38. Szoplik, Jolanta, 2015. "Forecasting of natural gas consumption with artificial neural networks," Energy, Elsevier, vol. 85(C), pages 208-220.
    39. Voudouris, Vlasios & Matsumoto, Ken'ichi & Sedgwick, John & Rigby, Robert & Stasinopoulos, Dimitrios & Jefferson, Michael, 2014. "Exploring the production of natural gas through the lenses of the ACEGES model," Energy Policy, Elsevier, vol. 64(C), pages 124-133.
    40. Kovačič, Miha & Šarler, Božidar, 2014. "Genetic programming prediction of the natural gas consumption in a steel plant," Energy, Elsevier, vol. 66(C), pages 273-284.
    41. Potočnik, Primož & Soldo, Božidar & Šimunović, Goran & Šarić, Tomislav & Jeromen, Andrej & Govekar, Edvard, 2014. "Comparison of static and adaptive models for short-term residential natural gas forecasting in Croatia," Applied Energy, Elsevier, vol. 129(C), pages 94-103.
    42. Baltagi, Badi H. & Bresson, Georges & Pirotte, Alain, 2002. "Comparison of forecast performance for homogeneous, heterogeneous and shrinkage estimators: Some empirical evidence from US electricity and natural-gas consumption," Economics Letters, Elsevier, vol. 76(3), pages 375-382, August.
    43. Sanchez-Ubeda, Eugenio Fco. & Berzosa, Ana, 2007. "Modeling and forecasting industrial end-use natural gas consumption," Energy Economics, Elsevier, vol. 29(4), pages 710-742, July.
    44. Azadeh, A. & Asadzadeh, S.M. & Ghanbari, A., 2010. "An adaptive network-based fuzzy inference system for short-term natural gas demand estimation: Uncertain and complex environments," Energy Policy, Elsevier, vol. 38(3), pages 1529-1536, March.
    45. Douglas B. Reynolds & Marek Kolodziej, 2009. "North American Natural Gas Supply Forecast: The Hubbert Method Including the Effects of Institutions," Energies, MDPI, vol. 2(2), pages 1-38, May.
    46. Mount, Tim & Tyrrell, Timothy J., 1977. "Energy Demand: Conservation, Taxation, and Growth," Staff Papers 184442, Cornell University, Department of Applied Economics and Management.
    47. Xiong, Ping-ping & Dang, Yao-guo & Yao, Tian-xiang & Wang, Zheng-xin, 2014. "Optimal modeling and forecasting of the energy consumption and production in China," Energy, Elsevier, vol. 77(C), pages 623-634.
    48. Bianco, Vincenzo & Scarpa, Federico & Tagliafico, Luca A., 2014. "Scenario analysis of nonresidential natural gas consumption in Italy," Applied Energy, Elsevier, vol. 113(C), pages 392-403.
    49. Parikh, Jyoti & Purohit, Pallav & Maitra, Pallavi, 2007. "Demand projections of petroleum products and natural gas in India," Energy, Elsevier, vol. 32(10), pages 1825-1837.
    50. Shekarchian, M. & Moghavvemi, M. & Motasemi, F. & Zarifi, F. & Mahlia, T.M.I., 2012. "Energy and fuel consumption forecast by retrofitting absorption cooling in Malaysia from 2012 to 2025," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 6128-6141.
    51. Ozturk, Ilhan & Al-Mulali, Usama, 2015. "Natural gas consumption and economic growth nexus: Panel data analysis for GCC countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 998-1003.
    52. Gutiérrez, R. & Nafidi, A. & Gutiérrez Sánchez, R., 2005. "Forecasting total natural-gas consumption in Spain by using the stochastic Gompertz innovation diffusion model," Applied Energy, Elsevier, vol. 80(2), pages 115-124, February.
    53. Beierlein, James G & Dunn, James W & McConnon, James C, Jr, 1981. "The Demand for Electricity and Natural Gas in the Northeastern United States," The Review of Economics and Statistics, MIT Press, vol. 63(3), pages 403-408, August.
    54. Rahim, Khalid Abdul & Liwan, Audrey, 2012. "Oil and gas trends and implications in Malaysia," Energy Policy, Elsevier, vol. 50(C), pages 262-271.
    55. Kialashaki, Arash & Reisel, John R., 2013. "Modeling of the energy demand of the residential sector in the United States using regression models and artificial neural networks," Applied Energy, Elsevier, vol. 108(C), pages 271-280.
    56. Aydinalp-Koksal, Merih & Ugursal, V. Ismet, 2008. "Comparison of neural network, conditional demand analysis, and engineering approaches for modeling end-use energy consumption in the residential sector," Applied Energy, Elsevier, vol. 85(4), pages 271-296, April.
    57. Lv, Xiaodong & Shan, Xian, 2013. "Modeling natural gas market volatility using GARCH with different distributions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(22), pages 5685-5699.
    58. Durmayaz, Ahmet & Kadıoǧlu, Mikdat & Şen, Zekai, 2000. "An application of the degree-hours method to estimate the residential heating energy requirement and fuel consumption in Istanbul," Energy, Elsevier, vol. 25(12), pages 1245-1256.
    59. Melikoglu, Mehmet, 2013. "Vision 2023: Forecasting Turkey's natural gas demand between 2013 and 2030," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 393-400.
    60. Askari, S. & Montazerin, N. & Zarandi, M.H. Fazel, 2015. "Forecasting semi-dynamic response of natural gas networks to nodal gas consumptions using genetic fuzzy systems," Energy, Elsevier, vol. 83(C), pages 252-266.
    61. Kani, Alireza H. & Abbasspour, Madjid & Abedi, Zahra, 2014. "Estimation of demand function for natural gas in Iran: Evidences based on smooth transition regression models," Economic Modelling, Elsevier, vol. 36(C), pages 341-347.
    62. Soldo, Božidar, 2012. "Forecasting natural gas consumption," Applied Energy, Elsevier, vol. 92(C), pages 26-37.
    63. Merve Karacaer-Ulusoy & Ayhan Kapusuzoglu, 2017. "The Dynamics of Financial and Macroeconomic Determinants in Natural Gas and Crude Oil Markets: Evidence from Organization for Economic Cooperation and Development/Gulf Cooperation Council/Organization," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 167-187.
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    More about this item

    Keywords

    Forecasting natural gas; Existing forecasting models; Models categorization.;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting

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