On the Value of Distribution Network Topology Information in the Identification of End-user Phase Consumption: A Graph Neural Network Approach
A systematic review of machine learning applications in the operation of smart distribution systems
Voltage-based Machine Learning Algorithm for Distribution of End-users Consumption Among the Phases
Machine learning-based forecast of secondary distribution network losses calculated from the smart meters data
Testing and determining the possibilities of simulation tools in complex numerical calculations of connecting new users to the network
Teaching
University undergraduate
- Introduction to Artificial Intelligence (Lecturers)
- Introduction to Artificial Intelligence (Lecturers)
University graduate
- Electric Power Distribution Systems (Lecturers)
- Electric Power Distribution Systems (Exercises)
Personal data
Graduation year:
2021.
Employed in this institution since:
2020.