A generic energy prediction model of machine tools using deep learning algorithms-Reference-Cited by-同舟云学术

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A generic energy prediction model of machine tools using deep learning algorithms

Published:2020-10 Issue: Volume:275 Page:115402
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

He Yan,Wu Pengcheng,Li Yufeng,Wang Yulin,Tao Fei,Wang Yan

Funder

National Key R&D Program of China

Technology Innovation and Application Demonstration Project of Chongqing

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference43 articles.

1. Kynčlová P, Upadhyaya S, Nice T. Composite index as a measure on achieving Sustainable Development Goal 9 (SDG-9) industry-related targets: The SDG-9 index. Appl Energy; 2020. https://doi.org/10.1016/j.apenergy.2020.114755.

2. IEA. World Energy Balances 2018. Report; 2018. https://doi.org/10.1787/3a876031-en.

3. Resources value mapping: A method to assess the resource efficiency of manufacturing systems;Papetti;Appl Energy,2019

4. Energy management: A practice-based assessment model;Trianni;Appl Energy,2019

5. Energy Resources Intelligent Management using on line real-time simulation: A decision support tool for sustainable manufacturing;Cassettari;Appl Energy,2017

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