activity
20242026
most citedOptimizing electric vehicles charging through smart energy allocation and cost-saving

2 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2026

Implicit Neural Networks as Static Controllers: Certificates and Performance Separation

Giuseppe C. Calafiore, Laurent El Ghaoui

Implicit neural controllers (INCs) are static feedback laws that are evaluated through an algebraic fixed point {equation}; they include as special cases neural network controllers…

math.OC2026

Class-Based Smart Charging Control for Electric Vehicles

Giuseppe C. Calafiore, Luca Ambrosino, Matteo Della Rossa +1

This paper proposes a stochastic control framework for the operation of electric-vehicle (EV) charging stations equipped with on-site photovoltaic (PV) generation and battery stora…

eess.SY2025

A Multi-Criterion Approach to Smart EV Charging with CO2 Emissions and Cost Minimization

Giuseppe C. Calafiore, Luca Ambrosino, Khai Manh Nguyen +3

We study carbon-aware smart charging in a fossil-dominated grid by coupling a simplified hydro-thermal-renewable dispatch model with a tractable linear charging scheduler. The case…

eess.SY2025★ 1 cited

A Robust Optimization Model for Cost-Efficient and Fast Electric Vehicle Charging with L2-norm Uncertainty

Trung Duc Tran, Ngoc-Doanh Nguyen, Hong T. M. Chu +3

In this paper, we propose a robust optimization model that addresses both the cost-efficiency and fast charging requirements for electric vehicles (EVs) at charging stations. By co…

math.OC2024★ 2 cited

Optimizing electric vehicles charging through smart energy allocation and cost-saving

Luca Ambrosino, Giuseppe Calafiore, Khai Manh Nguyen +3

As the global focus on combating environmental pollution intensifies, the transition to sustainable energy sources, particularly in the form of electric vehicles (EVs), has become…

q-fin.RM2024★ 1 cited

Default Resilience and Worst-Case Effects in Financial Networks

Giuseppe Calafiore, Giulia Fracastoro, Anton Proskurnikov

In this paper we analyze the resilience of a network of banks to joint price fluctuations of the external assets in which they have shared exposures, and evaluate the worst-case ef…