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Probability distribution forecasting of carbon allowance prices : a hybrid model considering multiple influencing factors
Lei, Heng; Xue, Minggao; Liu, Huiling - In: Energy economics 113 (2022), pp. 1-20
Persistent link: https://www.econbiz.de/10013540610
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Neural network prediction of crude oil futures using B-splines
Butler, Sunil; Kokoszka, Piotr; Miao, Hong; Shang, Han Lin - In: Energy economics 94 (2021), pp. 1-11
Persistent link: https://www.econbiz.de/10012649352
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Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method
Huang, Wenyang; Wang, Huiwen; Qin, Haotong; Wei, Yigang; … - In: Energy economics 110 (2022), pp. 1-16
Persistent link: https://www.econbiz.de/10013349896
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Forecasting day-ahead electricity prices : a comparison of time series and neural network models taking external regressors into account
Lehna, Malte; Scheller, Fabian; Herwartz, Helmut - In: Energy economics 106 (2022), pp. 1-15
Persistent link: https://www.econbiz.de/10013202053
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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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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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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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Early warning of exchange rate risk based on structural shocks in international oil prices using the LSTM neural network model
Zhao, Yinglan; Feng, Chen; Xu, Nuo; Peng, Song; Liu, Chang - In: Energy economics 126 (2023), pp. 1-16
Persistent link: https://www.econbiz.de/10014483640
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An explainable artificial intelligence approach to understanding drivers of economic energy consumption and sustainability
Srivastava, Praveen Ranjan; Mangla, Sachin Kumar; … - In: Energy economics 125 (2023), pp. 1-21
Persistent link: https://www.econbiz.de/10014484405