activity
20242026
collaborators

13 papers

eess.SY2026

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…

eess.SY2026

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…

eess.SY2026

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…

eess.SY2026

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…

cs.LG2025

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…

eess.SY2025

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…