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cs.LG2026
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…
cs.LG2025
A Laplace diffusion-based transformer model for heart rate forecasting within daily activity context
Andrei Mateescu, Ioana Hadarau, Ionut Anghel +3
With the advent of wearable Internet of Things (IoT) devices, remote patient monitoring (RPM) emerged as a promising solution for managing heart failure. However, the heart rate ca…
cs.LG2025
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…