The STREAM consortium is pleased to announce that researchers from the Laboratory of Energy Policy. Faculty of Electrical Enginnering, University of Ljubljana, received the Best Paper Award at the Power Engineering and Electrical Technology (PEET 2025) conference held in Shiga, Japan.
The awarded paper, “Forecasting Congestions and Flexibility Needs in the STREAM Project: the sGRID Tool for Distribution Grids,” presents sGRID, an innovative forecasting tool developed within our project. The tool combines machine learning (XGBoost) with power-flow simulations to predict distribution-grid conditions at 15-minute resolution and identify potential congestion and flexibility needs in advance. According to the paper, sGRID operates on real grid topologies and integrates smart-meter and weather data to support future-oriented, data-driven DSO operations.
The methodology was validated on a real distribution network in Ajdovščina, Slovenia, where the model demonstrated high accuracy for most loads, particularly large industrial consumers and aggregated transformer-level profiles, confirming the tool’s potential for proactive congestion management and flexibility planning.
During the study visit in Japan, LEST also presented STREAM’s approach to flexible and sustainable energy systems at Osaka University’s Carbon Neutral Engineering Laboratory. Hosted by Associate Professor Shinya Yoshizawa, the exchange offered valuable insights into Japan’s decarbonisation pathway, including the goals of 300,000 EV charging ports by 2030 and all new passenger vehicles being electric or hybrid by 2035.
This recognition at PEET 2025 highlights the scientific excellence achieved within the STREAM project and strengthens STREAM’s role in advancing smarter, more resilient distribution grids across Europe.
