3 papers
cs.LG2025
Integrating Physics and Data-Driven Approaches: An Explainable and Uncertainty-Aware Hybrid Model for Wind Turbine Power Prediction
Alfonso Gijón, Simone Eiraudo, Antonio Manjavacas +3
The rapid growth of the wind energy sector underscores the urgent need to optimize turbine operations and ensure effective maintenance through early fault detection systems. While…
cs.LG2024
SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning
Alejandro Campoy-Nieves, Antonio Manjavacas, Javier Jiménez-Raboso +2
Simulation has become a crucial tool for Building Energy Optimization (BEO) as it enables the evaluation of different design and control strategies at a low cost. Machine Learning…
cs.LG2024
An experimental evaluation of Deep Reinforcement Learning algorithms for HVAC control
Antonio Manjavacas, Alejandro Campoy-Nieves, Javier Jiménez-Raboso +2
Heating, Ventilation, and Air Conditioning (HVAC) systems are a major driver of energy consumption in commercial and residential buildings. Recent studies have shown that Deep Rein…