Conference Agenda

Session
W09: Neural networks in power systems
Time:
Wednesday, 16/Oct/2024:
2:00pm - 4:00pm

Session Chair: Md Umar Hashmi, KU Leuven, Belgium
Location: Orlando 1B

Sheraton Dubrovnik Riviera Hotel Šetalište Dr. F. Tuđmana 17, 20207, Srebreno

Presentations

Neural Network-Driven State Estimator for European-Type Unbalanced LV Grids

Yamen Alsyoufi, Jose Manuel Cano Rodriguez, Gonzalo Alonso Orcajo

University of Oviedo, Spain



Physics-Informed Neural Networks for Privacy-Preserving Model Sharing in Power Systems

Ilayda Canyakmaz1, Can Berk Saner2, Antonios Varvitsiotis1

1Singapore University of Technology and Design, Singapore; 2National University of Singapore, Singapore



Energy Price Prediction with Hybrid Neural Network using Time2Vec Attention-based CNN-biGRU

Edvard Avdevičius, Mina Eskander, Detlef Schulz

Helmut Schmidt University / University of the Federal Armed Forces Hamburg, Germany



Hybrid Quantum Physics-Informed Neural Networks for Power Flow Analysis

Zeynab Kaseb, Peter Palensky, Pedro P. Vergara

Delft University of Technology, Netherlands, The



Improved Physics-Informed Neural Network based AC Power Flow for Distribution Networks

Victor Eeckhout1, Hossein Fani1,2, Md Umar Hashmi1,2, Geert Deconinck1,2

1KU Leuven, Belgium; 2EnergyVille, Genk, Belgium



Deep Learning-Based Probabilistic Forecasting of Household Energy Consumption in Smart Grids

Lucas de Azevedo Takara1, Luis Fernando Rodrigues Agottani2, Cesar Vinicius Züge1, Wendel Rafael de Souza Chaves2, Leandro dos Santos Coelho1, Viviana Cocco Mariani2

1Graduate Program in Electrical Engineering, Federal University of Parana, Brazil; 2Graduate Program in Mechanical Engineering, Federal University of Parana, Brazil



Accelerating Power Flow Calculations in LV Networks Using Physics-Informed Graph Neural Networks

Furqan Azam1,2, Chris Hermans1, Thijs Becker1, Reinhilde D’hulst1, Koen Vanthournout1, Geert Deconinck2

1VITO, Belgium; 2KU Leuven, Belgium