THE USE OF ARTIFICIAL INTELLIGENCE TO OPTIMIZE ELECTRICAL ENERGY CONSUMPTION IN MANUFACTURING ENTERPRISES OF UZBEKISTAN
| dc.contributor.author | Durdiyev Lazizjon Azizjon oʻgʻli | |
| dc.contributor.author | Eshniyozov Umid Axrolovich | |
| dc.date.accessioned | 2026-03-09T20:31:17Z | |
| dc.date.issued | 2026-03-09 | |
| dc.description.abstract | This article analyzes issues related to the efficient management and optimization of electrical energy consumption in manufacturing enterprises of Uzbekistan based on artificial intelligence (AI) technologies. The high share of energy consumption in industrial enterprises has a direct impact on production costs. Therefore, the use of artificial intelligence algorithms for energy consumption forecasting, optimal load distribution, and loss reduction is of significant relevance. The article highlights the capabilities of machine learning, neural networks, and intelligent control systems, and outlines the prospects for their application under the industrial conditions of Uzbekistan. | |
| dc.format | application/pdf | |
| dc.identifier.uri | https://brightmindpublishing.com/index.php/EI/article/view/2224 | |
| dc.identifier.uri | https://asianeducationindex.com/handle/123456789/118674 | |
| dc.language.iso | eng | |
| dc.publisher | Bright Mind Publishing | |
| dc.relation | https://brightmindpublishing.com/index.php/EI/article/view/2224/2253 | |
| dc.rights | https://creativecommons.org/licenses/by/4.0 | |
| dc.source | Educator Insights: Journal of Teaching Theory and Practice; Vol. 2 No. 3 (2026); 90-94 | |
| dc.source | 3061-6964 | |
| dc.subject | Electrical energy, optimization, artificial intelligence, machine learning, industrial enterprises, energy efficiency. | |
| dc.title | THE USE OF ARTIFICIAL INTELLIGENCE TO OPTIMIZE ELECTRICAL ENERGY CONSUMPTION IN MANUFACTURING ENTERPRISES OF UZBEKISTAN | |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
| dc.type | Peer-reviewed Article |
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