Zaghdoudi, T.; Tissaoui, K.; Maâloul, M.H.; Bahou, Y.; Kammoun, N.
Can Economic, Geopolitical and Energy Uncertainty Indices Predict Bitcoin Energy Consumption? New Evidence from a Machine Learning Approach. Energies 2024, 17, 3245.
https://doi.org/10.3390/en17133245
AMA Style
Zaghdoudi T, Tissaoui K, Maâloul MH, Bahou Y, Kammoun N.
Can Economic, Geopolitical and Energy Uncertainty Indices Predict Bitcoin Energy Consumption? New Evidence from a Machine Learning Approach. Energies. 2024; 17(13):3245.
https://doi.org/10.3390/en17133245
Chicago/Turabian Style
Zaghdoudi, Taha, Kais Tissaoui, Mohamed Hédi Maâloul, Younès Bahou, and Niazi Kammoun.
2024. "Can Economic, Geopolitical and Energy Uncertainty Indices Predict Bitcoin Energy Consumption? New Evidence from a Machine Learning Approach" Energies 17, no. 13: 3245.
https://doi.org/10.3390/en17133245
APA Style
Zaghdoudi, T., Tissaoui, K., Maâloul, M. H., Bahou, Y., & Kammoun, N.
(2024). Can Economic, Geopolitical and Energy Uncertainty Indices Predict Bitcoin Energy Consumption? New Evidence from a Machine Learning Approach. Energies, 17(13), 3245.
https://doi.org/10.3390/en17133245