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MSc Горан Вељановски

MSc Горан Вељановски
no.: 04572 source: E-CRIS

researcher – active in research organisation
Phone number 070209758
  goran.veljanovskiat signuklo.edu.mk
Foreign language skills
Research activity

Code Science Field Subfield
2.02.01  Technical and technological sciences  Electrical engineering  Power engineering 
Keywords
Distribution Systems Transmission Systems Battery Energy Storage Systems
Bibliography Representative bibliographic units | Personal | COBISS+
source: COBISS
Education
source: E-CRIS
Level of education Professional title Study subject Faculty Year
Master's degree  M. Sc  Power Systems  MK University St.Kliment Ohridski - Bitola, Faculty of Technical Sciences Bitola 2022 
Doctoral dissertations and other final papers Show
Obtaining results now
source: COBISS
Employments
source: E-CRIS
Type of employment Research org. Research group Date of employment Position Title
Full time employment (100%, RD:100%)  University St.Kliment Ohridski - Bitola, Faculty of Technical Sciences  Department of Electrical Engineering  5/19/2023  Teaching Assistant   
Biography
Goran Veljanovski was born on October 28, 1996, in Bitola. He completed his undergraduate studies at the Faculty of Technical Sciences Bitola, in the field of Electrical Power Systems, in 2019. After graduating, he continued with master’s studies at the Faculty of Technical Sciences Bitola and obtained his master’s degree in 2021. In parallel with his postgraduate studies at the faculty, he also worked as a demonstrator at the same faculty until 2022. In 2022, he enrolled in doctoral studies at the Faculty of Electrical Engineering and Information Technologies (FEIT) at the Ss. Cyril and Methodius University, at the Institute of Power Transmission Systems. In 2023, he was appointed as an assistant at the Faculty of Technical Sciences Bitola, where he still works. His areas of scientific and research interest include battery energy storage systems, with a special focus on their optimal sizing and management to provide a range of services, electricity markets, and distribution networks. Within his research, he has worked on the application of machine learning and artificial intelligence for forecasting load of power systems and production from renewable energy sources, as well as load management using dynamic models and optimization algorithms. Additionally, he is familiar with the most relevant software tools and platforms for analysis, simulation, and optimization of power systems.
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