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

Published in:	Systems
Main Authors:	Choumicha El Mazgualdi, Tawfik Masrour, Noureddine Barka, Ibtissam El Hassani
Format:	Article
Language:	English
Published:	MDPI AG 2022-10-01
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