A three-step machine learning framework for energy profiling, activity state prediction and production estimation in smart process manufacturing

Author:

Tan Daniel,Suvarna Manu,Shee Tan Yee,Li Jie,Wang Xiaonan

Funder

SIMTech

Publisher

Elsevier BV

Subject

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

Reference49 articles.

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2. The development of modelling tools to improve energy efficiency in manufacturing processes and systems;Mawson;J Manuf Syst,2019

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

4. Development of dynamic energy benchmark for mass production in machining systems for energy management and energy-efficiency improvement;Cai;Appl Energy,2017

5. A generic energy prediction model of machine tools using deep learning algorithms;He;Appl Energy,2020

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