@inproceedings{799ff875f9eb4b50871e51041039079b,
title = "Bitcoin Transaction Computational Efficiency and Network Node Power Consumption Prediction Using an Artificial Neural Network",
abstract = "This paper develops and discusses the predictability of power consumption of the Bitcoin networks using Artificial Neural Networks (ANN) machine learning algorithm and solving the computational problem of the Bitcoin mining process. It discussed its impacts on energy consumption in the crypto mining process. In this paper, we used data sets for Bitcoin historical information for the training and testing of the ANN algorithm. With the help of Python libraries, the data filtration process was done. Python has provided the best feature for data analysis and visualization. After understanding the data, we trim the data and use the characteristics or attributes best suited for the model. The implementation of the model is done, and the result is recorded and analyzed. The results as obtained demonstrated that the use of Artificial Neural Networks (ANN) machine learning algorithm could approximately predict the actual electricity consumption of Bitcoin with high accuracy.",
keywords = "Artificial Neural Network, Bitcoin, Power consumption",
author = "Muteba, {Arcel Kalenga} and Ogudo, {Kingsley A.} and Bondo, {Espoir M.M.}",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 5th International Conference on Smart Technologies in Data Science and Communication, SMART-DSC 2022 ; Conference date: 16-06-2022 Through 17-06-2022",
year = "2023",
doi = "10.1007/978-981-19-6880-8_11",
language = "English",
isbn = "9789811968792",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "109--116",
editor = "Ogudo, {Kingsley A.} and Saha, {Sanjoy Kumar} and Debnath Bhattacharyya",
booktitle = "Smart Technologies in Data Science and Communication - Proceedings of SMART-DSC 2022",
address = "Germany",
}