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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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A neural network approach to the environmental Kuznets curve
Bennedsen, Mikkel; Hillebrand, Eric; Jensen, Sebastian - In: Energy economics 126 (2023), pp. 1-19
Persistent link: https://www.econbiz.de/10014483600
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Forecasting of coal and electricity prices in China : evidence from the quantum bee colony-support vector regression neural network
Pan, Wenchao; Guo, Zhichen; Zhang, Jiayan Shi Yaxuan; … - In: Energy economics 134 (2024), pp. 1-10
Persistent link: https://www.econbiz.de/10015047009
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Machine learning and oil price point and density forecasting
Costa, Alexandre Bonnet R.; Ferreira, Pedro Cavalcanti; … - In: Energy economics 102 (2021), pp. 1-21
Persistent link: https://www.econbiz.de/10013162181
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Predicting energy poverty with combinations of remote-sensing and socioeconomic survey data in India : evidence from machine learning
Wang, Hanjie; Maruejols, Lucie; Yu, Xiaohua - In: Energy economics 102 (2021), pp. 1-13
Persistent link: https://www.econbiz.de/10013162202
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Predicting corporate carbon footprints for climate finance risk analyses : a machine learning approach
Nguyen, Quyen; Diaz-Rainey, Ivan; Kuruppuarachchi, Duminda - In: Energy economics 95 (2021), pp. 1-18
Persistent link: https://www.econbiz.de/10012816864