Recent advances on industrial data-driven energy savings: Digital twins and infrastructures

Data-driven models for industrial energy savings heavily rely on sensor data, experimentation data and knowledge-based data. This work reveals that too much research attention was invested in making data-driven models, as supposed to ensuring the quality of industrial data. Furthermore, the true cha...

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Bibliographic Details

Published in:	Renewable & sustainable energy reviews Vol. 135; p. 110208
Main Authors:	Teng, Sin Yong, Touš, Michal, Leong, Wei Dong, How, Bing Shen, Lam, Hon Loong, Máša, Vítězslav
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01-01-2021
Subjects:	Artificial intelligence (AI) Blockchain Cyber-physical production systems (CPPS) Data-driven energy savings Digital twins Internet of things (IoT) Data-driven energy savings Digital twins Artificial intelligence (AI) Cyber-physical production systems (CPPS) Blockchain Internet of things (IoT)
Online Access:	Get full text
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