Naredni sastanak Seminara biće održan onlajn u sredu, 3. decembra 2025. sa početkom u 19 časova. 

Predavač: RNDr. Viktor Pristaš, Pavol Jozef Šafárik University in Košice, Faculty of Science, Institute of Computer Science

Naslov predavanja: INTEGRATING MACHINE LEARNING AND SIGNAL PROCESSING FOR ELECTRICAL POWER ANALYSIS

Apstrakt: Machine learning provides powerful techniques for pattern recognition, signal classification, and clustering. In this contribution, we explore the integration of machine learning and signal processing to extract knowledge from diverse signal types across various domains. A particular focus is placed on the power industry, where the proposed methods classify or cluster levels of reactive power generation and consumption. The rising reactive power in modern electrical grids creates significant challenges, including energy losses, reduced efficiency, and potential equipment failure. The developed approaches aim to enhance monitoring and management of these effects, supporting more stable and efficient power systems.

Napomena: Seminar je moguće pratiti na daljinu. Sve informacije su dostupne na stranici: https://miteam.mi.sanu.ac.rs/asset/DPP9i2jhvYzp8dmRe