3 citations · 4 across the 5 of their papers we have counts for
5 papers
Percepta: High Performance Stream Processing at the Edge
Clarisse Sousa, Tiago Fonseca, Luis Lino Ferreira +2
The rise of real-time data and the proliferation of Internet of Things (IoT) devices have highlighted the limitations of cloud-centric solutions, particularly regarding latency, ba…
Control of Renewable Energy Communities using AI and Real-World Data
Tiago Fonseca, Clarisse Sousa, Ricardo Venâncio +5
The electrification of transportation and the increased adoption of decentralized renewable energy generation have added complexity to managing Renewable Energy Communities (RECs).…
Evaluating LLaMA 3.2 for Software Vulnerability Detection
José Gonçalves, Miguel Silva, Bernardo Cabral +5
Deep Learning (DL) has emerged as a powerful tool for vulnerability detection, often outperforming traditional solutions. However, developing effective DL models requires large amo…
EnergAIze: Multi Agent Deep Deterministic Policy Gradient for Vehicle to Grid Energy Management
Tiago Fonseca, Luis Ferreira, Bernardo Cabral +2
This paper investigates the increasing roles of Renewable Energy Sources (RES) and Electric Vehicles (EVs). While indicating a new era of sustainable energy, these also introduce c…
EVLearn: Extending the CityLearn Framework with Electric Vehicle Simulation
Tiago Fonseca, Luis Ferreira, Bernardo Cabral +4
Intelligent energy management strategies, such as Vehicle-to-Grid (V2G) and Grid-to-Vehicle (G2V) emerge as a potential solution to the Electric Vehicles' (EVs) integration into th…