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20212024
most citedImproved Physics-Informed Neural Network based AC Power Flow for Distribution Networks

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

math.NA2024

A concise introduction to Koopman operator theory and the Extended Dynamic Mode Decomposition

Christophe Patyn, Geert Deconinck

The framework of Koopman operator theory is discussed along with its connections to Dynamic Mode Decomposition (DMD) and (Kernel) Extended Dynamic Mode Decomposition (EDMD). This p…

eess.SY20241 cited

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

Victor Eeckhout, Hossein Fani, Md Umar Hashmi +1

Power flow analysis plays a critical role in the control and operation of power systems. The high computational burden of traditional solution methods led to a shift towards data-d…

cs.DC2022

Fast Abstracts and Student Forum Proceedings, 18th European Dependable Computing Conference -- EDCC 2022

Ibéria Medeiros, Geert Deconinck

Collection of manuscripts accepted for presentation at the Student Forum and Fast Abstracts tracks of the 18th European Dependable Computing Conference (EDCC 2022).

cs.LG2022

Anomaly Detection in Automatic Generation Control Systems Based on Traffic Pattern Analysis and Deep Transfer Learning

Tohid Behdadnia, Geert Deconinck

In modern highly interconnected power grids, automatic generation control (AGC) is crucial in maintaining the stability of the power grid. The dependence of the AGC system on the i…

eess.SY2021

Model-predictive control and reinforcement learning in multi-energy system case studies

Glenn Ceusters, Román Cantú Rodríguez, Alberte Bouso García +6

Model-predictive-control (MPC) offers an optimal control technique to establish and ensure that the total operation cost of multi-energy systems remains at a minimum while fulfilli…