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eess.SY2026

On the Concept of an Optimal Portfolio of Uncertain Flexible Loads

Julie Rousseau, Philipp Heer, Kristina Orehounig +1

Flexible loads can enhance power system stability by providing reserves, but their limited energy capacity and uncertain availability distinguish them from conventional generators.…

eess.SY2026

Prosumer Synchronisation Risk: Impacts of Time-Varying Tariffs on Distribution Network Expansion

Dillon Zadoks, Alfredo Oneto, Carlo Tajoli +4

The rapid deployment of distributed energy resources, including heat pumps, electric vehicles, photovoltaics, and battery storage, is reshaping the operation of low-voltage network…

eess.SY2023

SIMBa: System Identification Methods leveraging Backpropagation

Loris Di Natale, Muhammad Zakwan, Philipp Heer +2

This manuscript details and extends the SIMBa toolbox (System Identification Methods leveraging Backpropagation) presented in previous work, which uses well-established Machine Lea…

eess.SY2023

Stable Linear Subspace Identification: A Machine Learning Approach

Loris Di Natale, Muhammad Zakwan, Bratislav Svetozarevic +3

Machine Learning (ML) and linear System Identification (SI) have been historically developed independently. In this paper, we leverage well-established ML tools - especially the au…

eess.SY20232 cited

Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach

Wenjie Xu, Bratislav Svetozarevic, Loris Di Natale +2

We study the problem of tuning the parameters of a room temperature controller to minimize its energy consumption, subject to the constraint that the daily cumulative thermal disco…