Quarterly Publication

Document Type : Original Article


1 PhD Student in Oil and Gas Economics, Faculty of Economics, Allameh Tabataba`i University, Tehran, Iran

2 Assistant Professor, Faculty of Economics, Allameh Tabataba`i University, Tehran, Iran

3 Associate Professor of Energy Economics, Faculty of Economics, Allameh Tabataba`i University, Tehran, Iran


The liberalization of natural gas markets and the emergence of gas hubs in recent decades have shifted the natural gas trade from the regional to the global trade. The growth and maturity of these hubs have weakened the previously established relationship between the natural gas price and the prices of crude oil and petroleum products. Therefore, predicting the price of gas as a strategic commodity has become more important for different countries. Using the neural network method, this paper attempts to develop a model of the monthly prediction of natural gas price. Based on the time series data from 2012 to April 2019 as the input to the neural network, this model predicts the prices in five hubs and natural gas exchange centers in Europe. Based on the R2 performance evaluation index of 98% of the neural network model fitted based on the aforementioned data series, the neural network model has acceptable performance in predicting the natural gas price. The results of this study show that using the artificial neural network (ANN) method, the gas prices in the European gas hubs, which are located in European countries, can be predicted with a high degree of accuracy.


Main Subjects

Abbasi, S. Varnamkhasti, J. G. (2014). Natural Gas Price Modeling and Prediction Using Artificial Neural Networks. Khorramshahr University of Marine Science and Technology.
Abrishami, H. and Varahrami, V. (2011). Different Methods for Gas Price Forecasting. Cuadernos de Economía, 34, 137–144.
Abrishami, H. Moeini, A. Mehrara, M. Ahrari, M. and Soleimani Kia, F. S. (2008). Modeling and Prediction of Gasoline Price Using GMDH Neural Network. Iranian Economic Research, 36, 37–58.
Menhaj, M. B. (2005). Computational intelligence: Fundamental of neural networks. Tehran: Amirkabir University of technology publication.
Behradmehr, N. (2008). Crude Oil Price Prediction Using Wavelet Smoothing and Artificial Neural Network. Journal of Energy Economics Studies, 18, 81–97.
Bonde, G., & Khaled, R. (2012). Stock price prediction using genetic algorithms and evolution strategies. In Proceedings of the International Conference on Genetic and Evolutionary Methods (GEM) (p. 1). The Steering Committee of the World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp).
Busse, S., Helmholz, P. and Weinmann, M. (2012). Forecasting Day Ahead Spot Price Movements of Natural Gas, an Analysis of Potential Influence Factors on Basis of a NARX Neural Network. Multikonferenz Wirtschaftsinformatik 2012, Tagungsband der MKWI 2012, 1–12.
Dudley, B. (2018). BP statistical review of world energy. BP Statistical Review, London, UK, accessed Aug, 6, 2018.
Fabini, C. (2012). Price forecasts in the European natural gas markets. University of St. Gallen.
Grandi, L. (2014). European gas markets: from oil indexation prices to spot prices. Energy Brains, junio.
Honari, A., Yaghini, M. and Nadimi, M. (2016). Prediction Household and Commercial Gas Consumption over Five-Year Period in Isfahan Using Neural Networks. Production and Operations Management, 1, 247–262.
Hosseinpoor, S. S. (2016). Forecasting Natural Gas Prices in the United States Using Artificial Neural Networks. Master’s Thesis, Oklahoma.
Jin, J., & Kim, J. (2015). Forecasting natural gas prices using wavelets, time series, and artificial neural networks. PloS one, 10(11), e0142064.
Kazemi, M. H. P., Pour, M. H., Afsar and Nahavandi. (2005). Comparative Study of ARIMA Linear and Nonlinear Methods of Fuzzy Neural Networks for Prediction of Urban Gas Subscription Demand. Economic Research, 40.
Mirsoltan, S. M., & Akhavan, N. S. T. (2013). Forecasting energy price and consumption for Iranian industrial sectors using ANN and ANFIS.
Mohammadi, T., Taklif, A. and Zamani, S. (2017). Prediction of Natural Gas Prices Using Combination of Wavelet Transform and Artificial Neural Network (Case Study: US Market). Iranian Economic Research, 22, 1–26.
Moshiri, S. and Forootan, F. (2014). Chaos Test and Prediction of Future Crude Oil Prices. Iranian Economic Research, 21, 67–90.
Patrick H., (2019). European Traded gas Hubs: A Decade of Change. The Oxford Institute for Energy studies.
Pourkazemi and Asadi, B. (2009). Dynamic Prediction of Crude Oil Price Using Artificial Neural Networks and Oil Storage of OECD Countries. Economic Research, 44.
Shi, X., & Variam, H. M. P. (2016). Gas and LNG trading hubs, hub indexation and destination flexibility in East Asia. Energy Policy, 96, 587-596.
Sotoudeh, M. and Farshad, E. (2012). Application of Neural Network for Forecasting Gas Price in America. The Journal of Mathematics and Computer science, 4, 216–226.
Stern, J., & Rogers, H. (2011). The transition to hub-based gas pricing in continental Europe. Oxford Institute for Energy Studies.
Stern, J., & Rogers, H. (2014). The Dynamics of a Liberalised European Gas Market–Key determinants of hub prices, and roles and risks of major players.
Su, M., Zhang, Z., Zhu, Y., Zha, D., & Wen, W. (2019). Data Driven Natural Gas Spot Price Prediction Models Using Machine Learning Methods. Energies, 12(9), 1680.
Tamba, J. G., Essiane, N., Sapnken, E. F., Koffi, F. D., Nsouand, J. L., Soldo, B., & Njomo, D. (2018). Forecasting natural gas: A literature survey. International Journal of Energy Economics and Policy, 8(3), 216.
Zajdler, R. (2012). The future of gas pricing in long-term contracts in Central Eastern Europe. Global market trends versus regional particularities. Warsaw.
Zhang, D., Wang, T., Shi, X., & Liu, J. (2018). Is hub-based pricing a better choice than oil indexation for natural gas? Evidence from a multiple bubble test Energy Economics, 76, 495–503.