Home
PDF download
Cite article
Share options
Informations, rights and permissions
Issue image
Vol 14, 2025
Pages: 300 - 309
Review paper
See full issue

INTERNACIONALNI UNIVERZITET TRAVNIK U TRAVNIKU
SAOBRAĆAJNI FAKULTET TRAVNIK U TRAVNIKU
EKOLOŠKI FAKULTET TRAVNIK U TRAVNIKU
FAKULTET INFORMACIONIH TEHNOLOGIJA TRAVNIK U TRAVNIKU
FAKULTET POLITEHNIČKIH NAUKA TRAVNIK U TRAVNIKU

u saradnji sa

FAKULTETA ZA LOGISTIKO UNIVERZA V MARIBORU, SLOVENIJA

organizuju

33. MEĐUNARODNU KONFERENCIJU

"IZAZOVI NOVIH TEHNOLOGIJA U FUNKCIJI MOBILNOSTI I ODRŽIVOG RAZVOJA"

15. - 16. maj 2026. godine

Metrics and citations
Abstract views: 1
PDF Downloads: 1
Google scholar: See link
Article content
  1. Abstract
  2. Disclaimer
Received: 24.11.2025. >> Accepted: 01.12.2025. >> Published: 12.12.2025. Review paper

DIGITALIZACIJA I UMJETNA INTELIGENCIJA U ELEKTROENERGETSKOM SISTEMU

By
Medina Mehić
Medina Mehić

Fakultet politehničkih nauka Travnik, Internacionalni univerzitet Travnik u Travniku , Travnik , Bosnia and Herzegovina

Abstract

Digitalization and the application of artificial intelligence in the power system represent key steps for the modernization and construction of smart grids that enable safer, more efficient and more sustainable energy management. The motives of this research arose from the need to respond to the increasing complexity of power grids, increased consumption and integration of renewable energy sources. The aim of the research is to increase the efficiency and security of the system, reduce losses in transmission and distribution and more precisely balance production and consumption in real time. Modern digital technologies such as smart meters, SCADA systems, etc. were used. The results showed that the management of the power system has been significantly improved, faster fault diagnostics have been enabled, losses have been reduced and supply reliability has been increased. The significance of the above results extends through economic, environmental and social significance, thus laying the foundations for the development of smart grids and power systems of the future.

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.