2 papers
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…