caerCentral Asian Economic ReviewCentral Asian Economic Review2789-43982789-4401Университет Нархоз10.52821/2789-4401-2024-3-114-131caer-1191Research ArticleНАЦИОНАЛЬНАЯ ЭКОНОМИКА: ВЕКТОРЫ РАЗВИТИЯNATIONAL ECONOMY: DEVELOPMENT VECTORSВОЗМОЖНОСТИ ИНТЕГРАЦИИ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В ИСПОЛЬЗОВАНИЕ ВОЗОБНОВЛЯЕМЫХ ИСТОЧНИКОВ ЭНЕРГИИ В КАЗАХСТАНЕOPPORTUNITIES OF INTEGRATING ARTIFICIAL INTELLIGENCE INTO THE EXPLOITATION OF RENEWABLE ENERGY IN KAZAKHSTANhttps://orcid.org/0000-0001-6753-1533МергалиеваЛ.MergalievaL.

Уральск

Uralsk

https://orcid.org/0000-0001-5094-9140БекетоваК.BeketovaK.

Кызылорда

Kyzylorda

https://orcid.org/0000-0002-5260-096XПримбетоваС.PrimbetovaS.

Уральск

Uralsk

Западно-Казахстанский Университет имени М. УтемисоваКазахстанM. Utemisov West Kazakhstan State UniversityKazakhstanКызылординский университет имени Коркыт атаКазахстанKorkyt Ata Kyzylorda UniversityKazakhstan20240809202403114131Copyright © Мергалиева Л., Бекетова К., Примбетова С., 20242024Мергалиева Л., Бекетова К., Примбетова С.Mergalieva L., Beketova K., Primbetova S.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://caer.narxoz.kz/jour/article/view/1191

Цель данного исследования – изучить возможности искусственного интеллекта при использования возобновляемых источников энергии в Казахстане, выявить потенциальные преимущества, влияния на экономику страны и энергетический сектор, предлагая новый взгляд на эту развивающуюся область.Методология исследования. Данное исследование использует смешанный метод, включающий как систематический обзор, так и комплексные исследовательские методы. Данные собраны через академические базы данных, журналы, анализ литературы и кейс-исследования, которые предлагают практическое понимание применения и результатов проектов по возобновляемой энергии, управляемых искусственным интеллектом в Казахстане.Оригинальность/ценность исследования. Это исследование уникально своим фокусом на пересечении искусственного интеллекта и возобновляемой энергии в контексте Казахстана. Оно предоставляет выводы о том, как новые технологии могут стимулировать экономический рост и устойчивость в развивающейся стране, и предлагает практические стратегии для использования этих возможностей. Исследование вносит значительный вклад в литературу, предоставляя глубокий и всеобъемлющий анализ экономических последствий и стратегических возможностей, связанных с этой интеграцией.Результаты исследования показывают, что применение искусственного интеллекта к возобновляемым источникам энергии в Казахстане может значительно повысить энергоэффективность, снизить затраты и увеличить надежность энергоснабжения. Более того, исследование выявляет несколько ключевых экономических возможностей, включая создание рабочих мест, технологические инновации и потенциал Казахстана стать региональным лидером в области возобновляемой энергии. Однако, исследование также подчеркивает вызовы, такие как необходимость инвестиций в инфраструктуру, обучение и регуляторную поддержку, предоставляя практическую дорожную карту для политиков и профессионалов отрасли. 

The purpose of the research is to delve into the intersection of renewable energy sources and artificial intelligence in Kazakhstan. It aims to uncover the potential benefits, challenges, and overall impact on the country's economy and energy sector, offering a fresh perspective on this emerging field.

Research methodology adopts a mixed-methods approach, incorporating both systematic review and comprehensive research methods. Data is gathered through academic databases, journals, relevant literature analysis, and case studies, which offer practical insights into the applications and outcomes of AI-driven renewable energy projects in Kazakhstan.

Originality / value of the research is unique in its focus on the intersection of artificial intelligence and renewable energy within the specific context of Kazakhstan. It offers valuable insights into how emerging technologies can drive economic growth and sustainability in a developing country and provides practical strategies for harnessing these opportunities. The study significantly contributes to the literature by providing a deep and comprehensive analysis of the economic implications and strategic opportunities associated with this integration.

The research findings reveal that the application of artificial intelligence to renewable energy sources in Kazakhstan can significantly enhance energy efficiency, reduce costs, and increase the reliability of energy supply. Moreover, it identifies several key economic opportunities, including job creation, technological ad- vancement and the capacity for the state to establish the regional leadership regarding the renewable energy. This study reveals the challenges and requirements for the significant funding into the infrastructure, personnel development, regulatory amendments, setting a roadmap for policymakers and industry professionals.

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The authors declare that there are no conflicts of interest present.