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Author: Admin | 2025-04-27
@article{CalvoPardo2020MachineLT, title={Machine Learning the Carbon Footprint of Bitcoin Mining}, author={Hector F. Calvo-Pardo and Tullio Mancini and Jose Olmo}, journal={Econometrics: Econometric \& Statistical Methods - Special Topics eJournal}, year={2020}, url={https://api.semanticscholar.org/CorpusID:233757343}}This work measured the carbon footprint of Bitcoin mining power consumption using feed-forward neural networks and demonstrates how machine learning methods can contribute to not-for-profit pressing societal issues, such as global warming, where data complexity and availability can be overcome.16 CitationsCrypto risks and mitigation opportunities in RussiaL. SannikovaLaw, BusinessLaw & Digital Technologies2023The study showed that the risks of public costs in the circulation and use of cryptocurrencies are not destructive for the Russian financial market, and Russia needs to adhere more strictly to a risk-based approach to regulating the crypto asset market.71 ReferencesA Cost of Production Model for BitcoinAdam S. HayesEconomics, Business2015As bitcoin becomes more important as a worldwide financial phenomenon, it also becomes important to understand its sources of value formation. There are three ways to obtain bitcoins: buy them…
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