Information and analytical system for researching the impact of cryptocurrency mining towards CO₂ emissions
DOI:
https://doi.org/10.32347/2411-4049.2024.3.141-150Keywords:
mathematical modelling, data processing, information and analytical system, CO₂ emission, cryptocurrency mining, Holt's linear trend modelAbstract
The article is dedicated to a current scientific and applied problem – the development of an information-analytical system for studying the impact of cryptocurrency mining on CO2 emissions. The paper describes a system consisting of three modules, each of which has its own area of responsibility and functionality, providing flexibility for the use of various analytical models. The results of this research were achieved through the application of this system. The Pearson correlation coefficient for semi-annual data of hashrate and CO2 emissions from 2014 to 2023 was calculated to be 0.87, indicating a strong linear relationship. Using Holt's linear model, it was forecasted that CO2 emissions in 2025 will range from 3,895,776 to 5,259,276 tons per day. The proposed information system has a modular structure, uses data mining methods, and can be applied in other applied fields both independently and as part of other information-analytical systems as a subsystem.
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Copyright (c) 2024 O.M. Terentiev, V.O. Duda
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