Optimizing Irrigation Efficiency using Deep Reinforcement Learning in the Field
Agricultural irrigation is a significant contributor to freshwater consumption. However, the
current irrigation systems used in the field are not efficient. They rely mainly on soil moisture …
current irrigation systems used in the field are not efficient. They rely mainly on soil moisture …
[HTML][HTML] Reinforcement learning in building controls: A comparative study of algorithms considering model availability and policy representation
Reinforcement Learning (RL) has presented considerable potential as an advanced control
technique in building controls to enable buildings operating more energy-efficient. As …
technique in building controls to enable buildings operating more energy-efficient. As …
Fusing Pre-existing Knowledge and Machine Learning for Enhanced Building Thermal Modeling and Control
L Di Natale - 2024 - infoscience.epfl.ch
Buildings play a pivotal role in the ongoing worldwide energy transition, accounting for 30%
of the global energy consumption. With traditional engineering solutions reaching their limits …
of the global energy consumption. With traditional engineering solutions reaching their limits …
Cyber-Physical Systems Optimization with Reinforcement Learning: Methods and Applications
X Ding - 2023 - escholarship.org
Cyber-physical systems rely on many control and decision-making algorithms. However, the
majority of cyber-physical systems today are still operated by simple rule-based and …
majority of cyber-physical systems today are still operated by simple rule-based and …