[HTML][HTML] Leveraging AI for energy-efficient manufacturing systems: Review and future prospectives
Energy poses a significant challenge in the industrial sector, and the abundance of data
generated by Industry 4.0 technologies offers the opportunity to leverage Artificial …
generated by Industry 4.0 technologies offers the opportunity to leverage Artificial …
Reinforcement learning for sustainable energy: A survey
K Ponse, F Kleuker, M Fejér, Á Serra-Gómez… - arXiv preprint arXiv …, 2024 - arxiv.org
The transition to sustainable energy is a key challenge of our time, requiring modifications in
the entire pipeline of energy production, storage, transmission, and consumption. At every …
the entire pipeline of energy production, storage, transmission, and consumption. At every …
Reinforcement learning for sustainability enhancement of production lines
The importance of sustainability in industry is dramatically rising in recent years. Controlling
machine states to achieve the best trade-off between production rate and energy demand is …
machine states to achieve the best trade-off between production rate and energy demand is …
Active Inference Meeting Energy-Efficient Control of Parallel and Identical Machines
We investigate the application of active inference in developing energy-efficient control
agents for manufacturing systems. Active inference, rooted in neuroscience, provides a …
agents for manufacturing systems. Active inference, rooted in neuroscience, provides a …
Reinforcement learning for energy-efficient control of multi-stage production lines with parallel machine workstations
An effective approach to enhancing the sustainability of production systems is to use energy-
efficient control (EEC) policies for optimal balancing of production rate and energy demand …
efficient control (EEC) policies for optimal balancing of production rate and energy demand …
[PDF][PDF] Energy-Efficiency Control of Manufacturing Systems via Active Inference
We are exploring active inference theory to develop intelligent decision-making models for
optimizing energyefficient control in manufacturing systems. Inspired by insights from …
optimizing energyefficient control in manufacturing systems. Inspired by insights from …