26 citations · 52 across the 13 of their papers we have counts for
14 papers
Hard-Constrained Probabilistic Factor Graph Neural Network for Distribution System State Estimation under Non-Gaussian Uncertainty
M. Furqan Azam, Marta Vanin, Chris Hermans +1
Robust and accurate state estimation is fundamental for the reliable operation and monitoring of active distribution networks. Conventional numerical estimators, such as weighted l…
Uncertainty quantification in load profiles with rising EV and PV adoption: the case of residential, industrial, and office buildings
Aiko Fias, Md Umar Hashmi, Geert Deconinck
The integration of photovoltaic (PV) generation and electric vehicle (EV) charging introduces significant uncertainty in electricity consumption patterns, particularly at the distr…
Grid-Aware Flexibility Operation of Behind-the-Meter Assets: A review of Objectives and Constraints
Elias Mandefro Getie, Hossein Fani, Md Umar Hashmi +2
The high penetration of distributed energy resources (DERs) in low-voltage distribution networks (LVDNs) often leads to network instability and congestion. Discovering the flexibil…
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…
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…
Impact of Dynamic Operating Envelopes on Distribution Network Hosting Capacity for Electric Vehicles
Hossein Fani, Md Umar Hashmi, Emilio J. Palacios-Garcia +1
The examination of the maximum number of electric vehicles (EVs) that can be integrated into the distribution network (DN) without causing any operational incidents has become incr…
Privacy-Preserving Distributed Learning for Residential Short-Term Load Forecasting
Yi Dong, Yingjie Wang, Mariana Gama +3
In the realm of power systems, the increasing involvement of residential users in load forecasting applications has heightened concerns about data privacy. Specifically, the load d…
Combined Peak Reduction and Self-Consumption Using Proximal Policy Optimization
Thijs Peirelinck, Chris Hermans, Fred Spiessens +1
Residential demand response programs aim to activate demand flexibility at the household level. In recent years, reinforcement learning (RL) has gained significant attention for th…
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).
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…
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…
Peer-to-Peer Control of Microgrids
Hamada Almasalma, Jonas Engels, Geert Deconinck
In this paper, the motivation to develop microgrids as an effective solution for the control of distribution networks with high level penetration of Distributed Energy Resources(DE…
Dual-decomposition-based peer-to-peer voltage control for distribution networks
Hamada Almasalma, Jonas Engels, Geert Deconinck
The increasing penetration of distributed energy resources (DERs) creates new voltage issues in distribution networks. This study proposes an algorithm that mitigates these issues,…
Software Tool Combining Fault Masking with User-Defined Recovery Strategies
Vincenzo De Florio, G. Deconinck, Rudy Lauwereins
We describe the voting farm, a tool which implements a distributed software voting mechanism for a number of parallel message passing systems. The tool, developed in the framework…