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Exploiting the heteroskedasticity in measurement error to improve volatility predictions in oil and biofuel feedstock markets
Bissoondoyal-Bheenick, Emawtee; Brooks, Robert; Do, … - In: Energy economics 86 (2020), pp. 1-18
Persistent link: https://www.econbiz.de/10012511747
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Does institutional quality affect CO2 emissions? : evidence from explainable artificial intelligence models
Stef, Nicolae; Başağaoğlu, Hakan; Chakraborty, Debaditya - In: Energy economics 124 (2023), pp. 1-12
Persistent link: https://www.econbiz.de/10014484051
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Response of residential electricity demand to price : the effect of measurement error
Alberini, Anna; Filippini, Massimo - In: Energy economics 33 (2011) 5, pp. 889-895
Persistent link: https://www.econbiz.de/10009383002
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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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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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Forecasting the realized variance of oil-price returns using machine learning : is there a role for U.S. state-level uncertainty?
Çepni, Oğuzhan; Gupta, Rangan; Pienaar, Daniel; … - In: Energy economics 114 (2022), pp. 1-14
Persistent link: https://www.econbiz.de/10013477404
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Using machine learning to model technological heterogeneity in carbon emission efficiency evaluation : the case of China's cities
Wang, Ailun; Hu, Shuo; Li, Jianglong - In: Energy economics 114 (2022), pp. 1-15
Persistent link: https://www.econbiz.de/10013477406
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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
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Forecasting crude oil futures price using machine learning methods : evidence from China
Guo, Lili; Huang, Xinya; Li, Yanjiao; Li, Houjian - In: Energy economics 127 (2023) 1, pp. 1-15
Persistent link: https://www.econbiz.de/10014488310
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Multivariable short-term electricity price forecasting using artificial intelligence and multi-input multi-output scheme
Jiang, Ping; Nie, Ying; Wang, Jianzhou; Huang, Xiaojia - In: Energy economics 117 (2023), pp. 1-21
Persistent link: https://www.econbiz.de/10014436651