3 papers
cs.LG2026
Bifurcated Remaining Useful Life Prediction: A Hybrid Approach for Realistic Uncertainty Characterization
Xabier Belaunzaran, Antonio Nappa, Arkaitz Artetxe +1
This study presents a novel hybrid prognostic framework for uncertainty-aware Remaining Useful Life (RUL) estimation in turbofan engines using the NASA C-MAPSS dataset. The framewo…
cs.LG2025
Short-Term Power Demand Forecasting for Diverse Consumer Types to Enhance Grid Planning and Synchronisation
Asier Diaz-Iglesias, Xabier Belaunzaran, Ane M. Florez-Tapia
Ensuring grid stability in the transition to renewable energy sources requires accurate power demand forecasting. This study addresses the need for precise forecasting by different…
cs.AI2024
Exploring Multi-Agent Reinforcement Learning for Unrelated Parallel Machine Scheduling
Maria Zampella, Urtzi Otamendi, Xabier Belaunzaran +4
Scheduling problems pose significant challenges in resource, industry, and operational management. This paper addresses the Unrelated Parallel Machine Scheduling Problem (UPMS) wit…