From the 1 of 6 linked papers with an AI index.
6 papers
High-fidelity inference of power grid frequency distributions
Alessandro Lonardi, Benjamin Schäfer, Christian Beck
The paper presents a statistical inference method that models power grid frequency fluctuations with a stochastic process, using maximum likelihood and superstatistics to accuratel…
Unifying Post-hoc Explanations of Knowledge Graph Completions
Alessandro Lonardi, Samy Badreddine, Tarek R. Besold +1
Knowledge Graphs organize information as entity-relation-entity triples, enabling machine learning models to predict plausible missing triples in a task known as Knowledge Graph Co…
Stochastic Modeling of Power-Grid Frequency Fluctuations in Low-Inertia Systems via a Gaussian-Core Potential and Superstatistics
Wanru Hao, Alessandro Lonardi, Christian Beck
Power grid frequency stability is fundamental to the secure operation of modern energy systems, yet the growing penetration of renewables and the associated reduction of system ine…
Understanding the complexity of frequency and phase angle fluctuations in power grids
Alessandro Lonardi, Jacques M. Maritz, Leonardo Rydin Gorjão +1
Power grids must modernize to meet climate goals while maintaining reliable and stable operating conditions. Yet progress is hindered by a limited understanding of the stochastic p…
Cohesive urban bicycle infrastructure design through optimal transport routing in multilayer networks
Alessandro Lonardi, Michael Szell, Caterina De Bacco
Bicycle infrastructure networks must meet the needs of cyclists to position cycling as a viable transportation choice in cities. In particular, protected infrastructure should be p…
Message-Passing on Hypergraphs: Detectability, Phase Transitions and Higher-Order Information
Nicolò Ruggeri, Alessandro Lonardi, Caterina De Bacco
Hypergraphs are widely adopted tools to examine systems with higher-order interactions. Despite recent advancements in methods for community detection in these systems, we still la…