3 papers
cs.LG2025
Data Model Design for Explainable Machine Learning-based Electricity Applications
Carolina Fortuna, Gregor Cerar, Blaz Bertalanic +2
The transition from traditional power grids to smart grids, significant increase in the use of renewable energy sources, and soaring electricity prices has triggered a digital tran…
cs.NI2024
Self-supervised Learning for Clustering of Wireless Spectrum Activity
Ljupcho Milosheski, Gregor Cerar, Blaž BertalaniÄ +2
In recent years, much work has been done on processing of wireless spectrum data involving machine learning techniques in domain-related problems for cognitive radio networks, such…
cs.LG2024
Energy Efficient Deep Multi-Label ON/OFF Classification of Low Frequency Metered Home Appliances
Anže Pirnat, Blaž BertalaniÄ, Gregor Cerar +2
Non-intrusive load monitoring (NILM) is the process of obtaining appliance-level data from a single metering point, measuring total electricity consumption of a household or a busi…