Using Model Selection and Reduction to Develop an Empirical Model to Predict Energy Consumption of a CNC Machine-Reference-Cited by-同舟云学术

Using Model Selection and Reduction to Develop an Empirical Model to Predict Energy Consumption of a CNC Machine

Published:2022 Issue: Volume: Page:227-234
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Morris Liam^ORCID,Clancy Rose,Hryshchenko Andriy,O’Sullivan Dominic,Bruton Ken

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-19762-8_17

Reference19 articles.

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2. Salonitis, K., Ball, P.: Energy efficient manufacturing from machine tools to manufacturing systems. Procedia CIRP 7, 634–639 (2013). https://doi.org/10.1016/j.procir.2013.06.045

3. Mulrennan, K., Donovan, J., D. Tormey, D., Macpherson, R.: A data science approach to modelling a manufacturing facility’s electrical energy profile from plant production data. In: 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA), pp. 387–391 (2018). https://doi.org/10.1109/DSAA.2018.00050

4. Cataldo, A., Scattolini, R., Tolio, T.: An energy consumption evaluation methodology for a manufacturing plant. CIRP J. Manuf. Sci. Technol. 11, 53–61 (2015). https://doi.org/10.1016/j.cirpj.2015.08.001

5. Reimann, J., Wenzel, K., Friedemann, M., Putz, M.: Methodology and model for predicting energy consumption in manufacturing at multiple scales. Procedia Manuf. 21, 694–701 (2018). https://doi.org/10.1016/j.promfg.2018.02.173

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