[HTML][HTML] Maintenance optimization in industry 4.0
This work reviews maintenance optimization from different and complementary points of
view. Specifically, we systematically analyze the knowledge, information and data that can …
view. Specifically, we systematically analyze the knowledge, information and data that can …
[HTML][HTML] Monte carlo tree search-based deep reinforcement learning for flexible operation & maintenance optimization of a nuclear power plant
Nuclear power plants (NPPs) are required to operate on a flexible profitable production plan
while guaranteeing high safety standards. Deep reinforcement learning (DRL) is an effective …
while guaranteeing high safety standards. Deep reinforcement learning (DRL) is an effective …
[HTML][HTML] A sequential decision problem formulation and deep reinforcement learning solution of the optimization of O&M of cyber-physical energy systems (CPESs) for …
Abstract The Operation & Maintenance (O&M) of Cyber-Physical Energy Systems (CPESs) is
driven by reliable and safe production and supply, that need to account for flexibility to …
driven by reliable and safe production and supply, that need to account for flexibility to …
[HTML][HTML] Flexible operation and maintenance optimization of aging cyber-physical energy systems by deep reinforcement learning
Abstract Cyber-Physical Energy Systems (CPESs) integrate cyber and hardware
components to ensure a reliable and safe physical power production and supply …
components to ensure a reliable and safe physical power production and supply …