THE USE OF ARTIFICIAL INTELLIGENCE TO OPTIMIZE ELECTRICAL ENERGY CONSUMPTION IN MANUFACTURING ENTERPRISES OF UZBEKISTAN

dc.contributor.authorDurdiyev Lazizjon Azizjon oʻgʻli
dc.contributor.authorEshniyozov Umid Axrolovich
dc.date.accessioned2026-03-09T20:31:17Z
dc.date.issued2026-03-09
dc.description.abstractThis 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.formatapplication/pdf
dc.identifier.urihttps://brightmindpublishing.com/index.php/EI/article/view/2224
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/118674
dc.language.isoeng
dc.publisherBright Mind Publishing
dc.relationhttps://brightmindpublishing.com/index.php/EI/article/view/2224/2253
dc.rightshttps://creativecommons.org/licenses/by/4.0
dc.sourceEducator Insights: Journal of Teaching Theory and Practice; Vol. 2 No. 3 (2026); 90-94
dc.source3061-6964
dc.subjectElectrical energy, optimization, artificial intelligence, machine learning, industrial enterprises, energy efficiency.
dc.titleTHE USE OF ARTIFICIAL INTELLIGENCE TO OPTIMIZE ELECTRICAL ENERGY CONSUMPTION IN MANUFACTURING ENTERPRISES OF UZBEKISTAN
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

item.page.files

item.page.filesection.original.bundle

pagination.showing.labelpagination.showing.detail
loading.default
thumbnail.default.alt
item.page.filesection.name
ogli_2026_the_use_of_artificial_intelligence_to_op.pdf
item.page.filesection.size
484.24 KB
item.page.filesection.format
Adobe Portable Document Format

item.page.collections