7 citations · 32 across the 18 of their papers we have counts for
19 papers
Does Central Planning Fail Locally? Evaluating EV Charging Flexibility Optimization Across Grid Levels
Ambra Van Liedekerke, Lorenzo Zapparoli, María Parajeles Herrera +3
Electric vehicles (EVs) are a key enabler of global decarbonization, and their charging flexibility is crucial for integrating high shares of renewable energy into future power sys…
Efficient Multi-Market Scheduling of Virtual Power Plants via Spectral Representation of Uncertainty
Lorenzo Zapparoli, Blazhe Gjorgiev, Giovanni Sansavini
As the penetration of distributed energy resources increases, harnessing their flexibility becomes critical for power system operations. Virtual power plants (VPPs) offer a promisi…
Risk-Aware Multi-Market Scheduling of Virtual Power Plants with Dynamic Network Tariffs
Lorenzo Zapparoli, Paul Fäth, Blazhe Gjorgiev +1
As the penetration of distributed energy resources (DERs) increases, harnessing their flexibility becomes critical for power system operations. Virtual power plants (VPPs) offer a…
A day-ahead market model for power systems: benchmarking and security implications
Andrej Stankovski, Blazhe Gjorgiev, James Ciyu Qin +1
Power system security assessments, e.g. via cascading outage models, often use operational set-points based on optimal power flow (OPF) dispatch. However, driven by cost minimizati…
Multi-level informed optimization via decomposed Kriging for large design problems under uncertainty
Enrico Ampellio, Blazhe Gjorgiev, Giovanni Sansavini
Engineering design involves demanding models encompassing many decision variables and uncontrollable parameters. In addition, unavoidable aleatoric and epistemic uncertainties can…
Power Reserve Capacity from Virtual Power Plants with Reliability and Cost Guarantees
Lorenzo Zapparoli, Blazhe Gjorgiev, Giovanni Sansavini
The growing penetration of renewable energy sources is expected to drive higher demand for power reserve ancillary services (AS). One solution is to increase the supply by integrat…
Future Deployment and Flexibility of Distributed Energy Resources in the Distribution Grids of Switzerland
Lorenzo Zapparoli, Alfredo Oneto, María Parajeles Herrera +3
The decarbonization goals worldwide drive the energy transition of power distribution grids, which operate under increasingly volatile conditions and closer to their technical limi…
Optimal Duration of Reserve Capacity Ancillary Services for Distributed Energy Resources
Lorenzo Zapparoli, Blazhe Gjorgiev, Giovanni Sansavini
The increasing integration of distributed energy resources (DERs) into power systems presents opportunities and challenges for ancillary services (AS) provision. Technical requirem…
Wasserstein-based Kernel Principal Component Analysis for Clustering Applications
Alfredo Oneto, Blazhe Gjorgiev, Giovanni Sansavini
Many data clustering applications must handle objects that cannot be represented as vectors. In this context, the bag-of-vectors representation describes complex objects through di…
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…
Foundation Models for the Electric Power Grid
Hendrik F. Hamann, Thomas Brunschwiler, Blazhe Gjorgiev +24
Foundation models (FMs) currently dominate news headlines. They employ advanced deep learning architectures to extract structural information autonomously from vast datasets throug…
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…
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…
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…