Open Access
Issue
E3S Web Conf.
Volume 687, 2026
The 2nd International Conference on Applied Sciences and Smart Technologies (InCASST 2025)
Article Number 01015
Number of page(s) 12
Section Environmental Developments & Sustainable Systems
DOI https://doi.org/10.1051/e3sconf/202668701015
Published online 15 January 2026
  1. A.J. Lawrance, Exploratory Graphics for Financial Time Series Volatility, J. R. Stat. Soc. Ser. C: Appl. Stat. 62(5), 669–686 (2013). https://doi.org/10.1111/rssc.12016 [Google Scholar]
  2. I. Romanuke, ARIMA Model Optimal Selection for Time Series Forecasting, Marit. Technol. J. 224(1), 28–40 (2022). https://doi.org/10.2478/sjpna-2022-0003 [Google Scholar]
  3. J. Bai, S. Ng, Tests for Skewness, Kurtosis, and Normality for Time Series Data, J. Bus. Econ. Stat. 23(1), 49–60 (2005). https://www.jstor.org/stable/27638793 [Google Scholar]
  4. A. Ampountolas, Enhancing Forecasting Accuracy in Commodity and Financial Markets: Insight from GARCH and SVR Models. Int. J. Financial Stud. 12(3), 59 (2024). https://doi.org/10.3390/ijfs12030059 [Google Scholar]
  5. R. Magdalena, et al. Evaluating the environmental effects of bitcoin mining on energy and water use in the context of the energy transition. Sci Rep 15, 8230 (2025). https://doi.org/10.1038/s41598-025-92314-z [Google Scholar]
  6. R. Cerqueti, et al., Skewed non-Gaussian GARCH Models for Cryptocurrencies Volatility Modelling. arXiv:2004.11674 (2004). https://arxiv.org/abs/2004.11674 [Google Scholar]
  7. S. A. Gyamerah, Modelling the Volatility of Bitcoin Returns using GARCH Models. Quantitative Finance and Economics 3(4), 739–753 (2019). doi: 10.3934/QFE.2019.4.739 [Google Scholar]
  8. F. Ulaşan, The Environmental Effect of Cryptocurrency Mining in the World, J. Sustain. Econ. Manag. Stud. 3(1), 1–20 (2022). https://dergipark.org.tr/en/download/article-file/3464588 [Google Scholar]
  9. G. Guidi, et al., The Environmental Burden of the United States ’Bitcoin Mining Boom, Research Square 1 (2024). https://doi.org/10.21203/rs.3.rs-5306015/v1 [Google Scholar]
  10. U. Draz, et al., Decentralized Energy Swapping for Sustainable Wireless Sensor Networks Using Blockchain Technology. Mathematics, 13(395), (2025). https://doi.org/10.3390/math13030395 [Google Scholar]
  11. B.A. Jones, A.L. Goodkind, R.P. Berrens, Economic Estimation of Bitcoin Mining’s Climate Damages, Sci. Rep. 12(14512), (2022). https://doi.org/10.1038/s41598-022-18686-8 [Google Scholar]
  12. M.D. Willis, et al., Potential Health Hazards of Cryptocurrency Mining: Protecting Health in a “Digital Oil Boom”, JAMA 332(16), 1329–1330 (2024). https://doi.org/10.1001/jama.2024.15917 [Google Scholar]
  13. S. Chamanara, et al., The Environmental Footprint of Bitcoin Mining Across the Globe: Call for Urgent Action. Earth’s Future, 11(10), (2023). https://doi.org/10.1029/2023EF003871 [Google Scholar]
  14. N. Sapra, et al., Uncovering Bitcoin’s electricity consumption relationships with volatility and price: Environmental Repercussions. Journal of Environmental Management (2024). https://doi.org/10.1016/j.jenvman.2024.120528 [Google Scholar]
  15. A. Hakimi, M. Pazuki, M. Salimi, M. Amidpour, Renewable Energy and Cryptocurrency: A Dual Approach to Economic Viability and Environmental Sustainability, Heliyon. 10(22), e39765 (2024). https://doi.org/10.1016/j.heliyon.2024.e39765 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.