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Vol 14, Issue 1, 2025
Pages: 332 - 338
Review paper
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INTERNACIONALNI UNIVERZITET TRAVNIK U TRAVNIKU
EKONOMSKI FAKULTET TRAVNIK U TRAVNIKU
PRAVNI FAKULTET TRAVNIK U TRAVNIKU
FAKULTET ZA MEDIJE I KOMUNIKACIJE TRAVNIK U TRAVNIKU

u saradnji sa

MIT UNIVERZITET SKOPLJE, SJEVERNA MAKEDONIJA
VEVU, VELEUČILIŠTE LAVOSLAV RUZIČKA U VUKOVARU, HRVATSKA
VELEUČILIŠTE VIMAL, SISAK, HRVATSKA
CKKPI, TRAVNIK, BOSNA I HERCEGOVINA

organizuju

31. MEĐUNARODNU KONFERENCIJU

EKONOMSKE, PRAVNE I MEDIJSKE INTEGRACIJE BOSNE I HERCEGOVINE I ZEMALJA ZAPADNOG
BALKANA KAO KLJUČNI POKRETAČ EUROPSKIH VRIJEDNOSTI

12. – 13. decembar 2025. godine

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Received: 14.04.2025. >> Accepted: 30.04.2025. >> Published: 16.05.2025. Review paper

INTEGRACIJA UMJETNE INTELIGENCIJE U STRATEGIJE ZELENE TRANZICIJE: OPTIMIZACIJA OBNOVLJIVIH IZVORA ENERGIJE I ODRŽIVIH PRAKSI / INTEGRATION OF ARTIFICIAL INTELLIGENCE IN GREEN TRANSITION STRATEGIES: OPTIMIZATION OF RENEWABLE ENERGY SOURCES AND SUSTAINABLE PRACTICES

By
Amila Rubanović ,
Amila Rubanović

Internacionalni univerzitet Travnik u Travniku , Travnik , Bosnia and Herzegovina

Fatima Abazović
Fatima Abazović

Internacionalni univerzitet Travnik u Travniku , Travnik , Bosnia and Herzegovina

Abstract

In today's world, the growth of the green transition will accelerate sustainable development, and the introduction of artificial intelligence in renewable energy sources represents a significant achievement in reaching this goal. AI enables resource management and optimized energy consumption with a lower environmental impact by shifting to sustainable energy models. It assists in data analysis of solar and wind power plants and intelligent energy grid management. The motivations for applying artificial intelligence are not only related to the economic aspect of cost reduction but also to system optimization, which brings not only environmental benefits but also significant operational cost savings for many companies while creating new opportunities for sustainable development. Thanks to the application of smart grids and predictive algorithms, the utilization of renewable energy sources becomes more efficient. The aim of this paper is to focus on the technologies, challenges, and benefits of applying artificial intelligence to gain a better understanding of its potential role in achieving sustainability goals.

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