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
Internacionalni univerzitet Travnik u Travniku , Travnik , Bosnia and Herzegovina
Internacionalni univerzitet Travnik u Travniku , Travnik , Bosnia and Herzegovina
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.
The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.