82 citations · 191 across the 14 of their papers we have counts for
14 papers
Policy-relevance of a Model Inter-comparison: Switzerland in the European Energy Transition
Ambra Van Liedekerke, Blazhe Gjorgiev, Jonas Savelsberg +7
The energy transition is reshaping electricity systems, bringing new challenges, and emphasizing the need for strategic planning. Energy policies play a crucial role in guiding thi…
Physics-Informed Graph Neural Networks for Robust AC-Optimal Power Flow
Anna Varbella, Damien Briens, Blazhe Gjorgiev +3
We present PINCO, an unsupervised learning framework that integrates Graph Neural Networks with physics-informed neural networks for AC optimal power flow (AC-OPF) solutions. Unlik…
PowerGraph: A power grid benchmark dataset for graph neural networks
Anna Varbella, Kenza Amara, Blazhe Gjorgiev +2
Power grids are critical infrastructures of paramount importance to modern society and, therefore, engineered to operate under diverse conditions and failures. The ongoing energy t…
An Improved Anomaly Detection Model for Automated Inspection of Power Line Insulators
Laya Das, Blazhe Gjorgiev, Giovanni Sansavini
Inspection of insulators is important to ensure reliable operation of the power system. Deep learning is being increasingly exploited to automate the inspection process by leveragi…
Uncertainty-aware deep learning for digital twin-driven monitoring: Application to fault detection in power lines
Laya Das, Blazhe Gjorgiev, Giovanni Sansavini
Deep neural networks (DNNs) are often coupled with physics-based models or data-driven surrogate models to perform fault detection and health monitoring of systems in the low data…
Resilient Design in Nuclear Energy: Critical Lessons from a Cross-Disciplinary Review of the Fukushima Dai-ichi Nuclear Accident
Ali Ayoub, Haruko Wainwright, Giovanni Sansavini +2
Nuclear energy has been gaining momentum recently as one of the solutions to tackle climate change. However, significant environmental and health-risk concerns remain associated wi…
Object detection-based inspection of power line insulators: Incipient fault detection in the low data-regime
Laya Das, Mohammad Hossein Saadat, Blazhe Gjorgiev +2
Deep learning-based object detection is a powerful approach for detecting faulty insulators in power lines. This involves training an object detection model from scratch, or fine t…
Neural tangent kernel analysis of PINN for advection-diffusion equation
M. H. Saadat, B. Gjorgiev, L. Das +1
Physics-informed neural networks (PINNs) numerically approximate the solution of a partial differential equation (PDE) by incorporating the residual of the PDE along with its initi…
Bayesian Origin-Destination Estimation in Networked Transit Systems using Nodal In- and Outflow Counts
Steffen O. P. Blume, Francesco Corman, Giovanni Sansavini
We propose a Bayesian inference approach for static Origin-Destination (OD)-estimation in large-scale networked transit systems. The approach finds posterior distribution estimates…
Integrating reliability and resilience to support microgrid design
Raphael Wu, Giovanni Sansavini
Quantifying the potential benefits of microgrids in the design phase can support the transition of passive distribution networks into microgrids. At current, reliability and resili…
Multi-agent maintenance scheduling based on the coordination between central operator and decentralized producers in an electricity market
Pegah Rokhforoz, Blazhe Gjorgiev, Giovanni Sansavini +1
Condition-based and predictive maintenance enable early detection of critical system conditions and thereby enable decision makers to forestall faults and mitigate them. However, d…
Can models for long-term decarbonization policies guarantee security of power supply? A perspective from gas and power sector coupling
Andrea Antenucci, Pedro Crespo del Granado, Blazhe Gjorgiev +1
The assessment of adequacy and security of the energy system requires the detailed knowledge of physical and operational characteristics. In contrast, studies concerning energy tra…
Resilience Evaluation Framework for Integrated Critical Infrastructure-Community Systems under Seismic Hazard
Li Sun, Bozidar Stojadinovic, Giovanni Sansavini
In this paper, an agent-based modeling framework to evaluate the seismic resilience of an integrated system comprising the community and its civil infrastructure systems is propose…
Agent-Based Recovery Model for Seismic Resilience Evaluation of Electrified Communities
Li Sun, Bozidar Stojadinovic, Giovanni Sansavini
In this paper, an agent-based framework to quantify the seismic resilience of an Electric Power Supply System (EPSS) and the community it serves is presented. Within the framework,…