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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
