All Outputs (6)

Automating the discovery of partial differential equations in dynamical systems (2024)
Journal Article
Li, W., & Carvalho, R. (2024). Automating the discovery of partial differential equations in dynamical systems. Machine Learning: Science and Technology, 5(3), Article 035046. https://doi.org/10.1088/2632-2153/ad682f

Identifying partial differential equations (PDEs) from data is crucial for understanding the governing mechanisms of natural phenomena, yet it remains a challenging task. We present an extension to the ARGOS framework, ARGOS-RAL, which leverages spar... Read More about Automating the discovery of partial differential equations in dynamical systems.

Automatically discovering ordinary differential equations from data with sparse regression (2024)
Journal Article
Egan, K., Li, W., & Carvalho, R. (2024). Automatically discovering ordinary differential equations from data with sparse regression. Communications Physics, 7(1), Article 20. https://doi.org/10.1038/s42005-023-01516-2

Discovering nonlinear differential equations that describe system dynamics from empirical data is a fundamental challenge in contemporary science. While current methods can identify such equations, they often require extensive manual hyperparameter t... Read More about Automatically discovering ordinary differential equations from data with sparse regression.

Analysis of Energy Consumption at Slow Charging Infrastructure for Electric Vehicles (2021)
Journal Article
Straka, M., Carvalho, R., Poel, G. V. D., & Buzna, L. (2021). Analysis of Energy Consumption at Slow Charging Infrastructure for Electric Vehicles. IEEE Access, 9, https://doi.org/10.1109/access.2021.3071180

Here, we develop a data-centric approach to analyse which activities, functions, and characteristics of the environment surrounding the slow charging infrastructure impact the distribution of the electricity consumed at slow charging infrastructure.... Read More about Analysis of Energy Consumption at Slow Charging Infrastructure for Electric Vehicles.

Controlling congestion on complex networks: fairness, efficiency and network structure (2017)
Journal Article
Buzna, Ľ., & Carvalho, R. (2017). Controlling congestion on complex networks: fairness, efficiency and network structure. Scientific Reports, 7(1), Article 9152. https://doi.org/10.1038/s41598-017-09524-3

We consider two elementary (max-flow and uniform-flow) and two realistic (max-min fairness and proportional fairness) congestion control schemes, and analyse how the algorithms and network structure affect throughput, the fairness of flow allocation,... Read More about Controlling congestion on complex networks: fairness, efficiency and network structure.

Critical behaviour in charging of electric vehicles (2015)
Journal Article
Carvalho, R., Buzna, L., Gibbens, R., & Kelly, F. (2015). Critical behaviour in charging of electric vehicles. New Journal of Physics, 17(9), Article 095001. https://doi.org/10.1088/1367-2630/17/9/095001

The increasing penetration of electric vehicles over the coming decades, taken together with the high cost to upgrade local distribution networks and consumer demand for home charging, suggest that managing congestion on low voltage networks will be... Read More about Critical behaviour in charging of electric vehicles.

Resilience of Natural Gas Networks during Conflicts, Crises and Disruptions (2014)
Journal Article
Carvalho, R., Buzna, L., Bono, F., Masera, M., Arrowsmith, D. K., & Helbing, D. (2014). Resilience of Natural Gas Networks during Conflicts, Crises and Disruptions. PLoS ONE, 9(3), Article e90265. https://doi.org/10.1371/journal.pone.0090265

Human conflict, geopolitical crises, terrorist attacks, and natural disasters can turn large parts of energy distribution networks offline. Europe's current gas supply network is largely dependent on deliveries from Russia and North Africa, creating... Read More about Resilience of Natural Gas Networks during Conflicts, Crises and Disruptions.