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Machine learning in energy economics and finance: a review
Ghoddusi, Hamed; Creamer Guillén, Germán; Rafizadeh, Nima - In: Energy economics 81 (2019), pp. 709-727
Persistent link: https://www.econbiz.de/10012172954
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Using machine learning tools for forecasting natural gas consumption in the province of Istanbul
Beyca, Ömer Faruk; Ervural, Beyzanur Cayir; Tatoğlu, Ekrem - In: Energy economics 80 (2019), pp. 937-949
Persistent link: https://www.econbiz.de/10012173755
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Analyzing the influence of geopolitical risks on European power prices using a multiresolution causal neural network
Saâdaoui, Foued; Jabeur, Sami Ben - In: Energy economics 124 (2023), pp. 1-13
Persistent link: https://www.econbiz.de/10014480975
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The impact of oil and global markets on Saudi stock market predictability : a machine learning approach
Abdou, Hussein A.; Elamer, Ahmed A.; Abedin, Mohammad Zoynul - In: Energy economics 132 (2024), pp. 1-24
Persistent link: https://www.econbiz.de/10015046881
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The impact of renewable energy on inflation in G7 economies : evidence from artificial neural networks and machine learning methods
Zhang, Long; Padhan, Hemachandra; Singh, Sanjay Kumar; … - In: Energy economics 136 (2024), pp. 1-12
Persistent link: https://www.econbiz.de/10015046686
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The role of energy efficiency in income inequality dynamics in developing Asia : evidence from artificial neural networks
Wei, Xun; Pal, Shreya; Mahalik, Mantu Kumar; Liu, Weibai - In: Energy economics 136 (2024), pp. 1-11
Persistent link: https://www.econbiz.de/10015046869
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Forecasting of coal and electricity prices in China : evidence from the quantum bee colony-support vector regression neural network
In: Energy economics 134 (2024), pp. 1-10
Persistent link: https://www.econbiz.de/10015047009
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Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm
Yu, Lean; Wang, Shouyang; Lai, Kin Keung - In: Energy economics 30 (2008) 5, pp. 2623-2635
Persistent link: https://www.econbiz.de/10003773838
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Are there exploitable inefficiencies in the futures market for oil?
Shambora, William E.; Rossiter, Rosemary D. - In: Energy economics 29 (2007) 1, pp. 18-27
Persistent link: https://www.econbiz.de/10003413292
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A compressed sensing based AI learning paradigm for crude oil price forecasting
Yu, Lean; Zhao, Yang; Tang, Ling - In: Energy economics 46 (2014), pp. 236-245
Persistent link: https://www.econbiz.de/10011298594