5 papers
Distributed JEPA: A Self-Supervised Framework for Energy Forecasting
Liana Toderean, Tudor Cioara, Vasilis Michalakopoulos +3
Traditional energy forecasting solutions rely on task-specific supervision and energy asset representations, limiting transferability and the ability to capture general temporal dy…
SAREF-based Ontology for Distributed AI Workflows across the Edge-Fog-Cloud Continuum
Viorica Rozina Chifu, Tudor Cioara, Vasile Ofrim +4
Nowadays semantic models provide limited support for representing distributed AI workflows and their execution across heterogeneous edge, fog, and cloud environments. Therefore, AI…
Edge-Oriented Orchestration of Energy Services Using Graph-Driven Swarm Intelligence
Liana Toderean, Dragos Lazea, Vasile Ofrim +3
As smart grids increasingly depend on IoT devices and distributed energy management, they require decentralized, low latency orchestration of energy services. We address this with…
From Transformers to Large Language Models: A systematic review of AI applications in the energy sector towards Agentic Digital Twins
Gabriel Antonesi, Tudor Cioara, Ionut Anghel +3
Artificial intelligence (AI) has long promised to improve energy management in smart grids by enhancing situational awareness and supporting more effective decision-making. While t…
A Lockable ERC20 Token for Peer to Peer Energy Trading
Liana Toderean, Claudia Antal, Marcel Antal +4
In this paper, we address the digitization of physical assets using blockchain technology focusing on energy and peer-to-peer trading on decentralized energy markets. Because they…