Forecasting semi-dynamic response of natural gas networks to nodal gas consumptions using genetic fuzzy systems
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DOI: 10.1016/j.energy.2015.02.020
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- Balitskiy, Sergey & Bilan, Yuriy & Strielkowski, Wadim & Štreimikienė, Dalia, 2016. "Energy efficiency and natural gas consumption in the context of economic development in the European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 156-168.
- Emmanuel Flavian Sapnken & Jean Gaston Tamba & Salome Njakomo Essiane & Francis Djanna Koffi & Donatien Njomo, 2018. "Modeling and Forecasting Gasoline Consumption in Cameroon using Linear Regression Models," International Journal of Energy Economics and Policy, Econjournals, vol. 8(2), pages 111-120.
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- Zhihua Chen & Hui Wang & Tongxia Li & Ieongcheng Si, 2021. "Demand for Storage and Import of Natural Gas in China until 2060: Simulation with a Dynamic Model," Sustainability, MDPI, vol. 13(15), pages 1-19, August.
- Reza Hafezi & Amir Naser Akhavan & Mazdak Zamani & Saeed Pakseresht & Shahaboddin Shamshirband, 2019. "Developing a Data Mining Based Model to Extract Predictor Factors in Energy Systems: Application of Global Natural Gas Demand," Energies, MDPI, vol. 12(21), pages 1-22, October.
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- Askari, S. & Montazerin, N. & Fazel Zarandi, M.H., 2016. "Gas networks simulation from disaggregation of low frequency nodal gas consumption," Energy, Elsevier, vol. 112(C), pages 1286-1298.
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Keywords
Cluster validity index; TSK system; Genetic algorithms; Least square estimate; Possibilistic Fuzzy C-Means; Natural gas network;All these keywords.
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