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Are the Cytocurrencies polluting the enviornment by using carbon rich fuel sources
Cryptocurrencies and NFT have been known to create a large carbon footprint based on their algorithmic complexity and
decentralized system design for proof of work and mining. We provide a machine learning framework to digest the bitcoin
transactions and correlate them with grid’s electricity generation patterns to estimate and analyse their carbon cost.
Analysis of correletaion of Bitcoing transaction against Fuel Type usage for electricty generation
Bitcoin carbon emission by geographies
Forcasting to predict the carbon emission from bitcoin transaction
Comparision of bitcoin transaction with static figure reported
clustering the bit coin transactions against carbon rich and renewable fuel usage for electricty generation
Comparision of bitcon transaction from Video streaming hours
