Issue |
E3S Web Conf.
Volume 461, 2023
Rudenko International Conference “Methodological Problems in Reliability Study of Large Energy Systems“ (RSES 2023)
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Article Number | 01063 | |
Number of page(s) | 4 | |
DOI | https://doi.org/10.1051/e3sconf/202346101063 | |
Published online | 12 December 2023 |
Optimization of energy consumption in cotton ginning enterprises using neural network method
Institute of Energy Problems of the Academy of Sciences, 100084 Tashkent, Uzbekistan
* Corresponding author: tolipovjamshidn@gmail.com
In the modern world, energy consumption optimization has become a critical concern across various industries due to environmental considerations and economic efficiency. Cotton ginning enterprises, which play a pivotal role in the textile supply chain, are no exception. This article explores applying neural network methods to optimize energy consumption in cotton ginning enterprises. We delve into the challenges faced by the industry, introduce the concept of neural networks, and discuss their potential to enhance energy efficiency. A case study demonstrates the practical implementation of the neural network approach in a cotton ginning setting, showcasing the potential benefits and providing insights into future directions for sustainable energy practices.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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