A Learning-Based Decision Tool towards Smart Energy Optimization in the Manufacturing Process

A Learning-Based Decision Tool towards Smart Energy Optimization in the Manufacturing Process

We developed a self-optimizing decision system that dynamically minimizes the overall energy consumption of an industrial process. Our model is based on a deep reinforcement learning (DRL) framework, adopting three reinforcement learning methods, namely: deep Q-network (DQN), proximal policy optimiz...

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Bibliographic Details
Main Authors: Choumicha El Mazgualdi, Tawfik Masrour, Noureddine Barka, Ibtissam El Hassani
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Systems
Subjects:
deep reinforcement learning
process parameters self-configuration
energy self-optimization
autonomous process control
intelligent manufacturing
glass tempering process
Online Access:https://www.mdpi.com/2079-8954/10/5/180

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https://www.mdpi.com/2079-8954/10/5/180

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