Applying machine learning techniques to implement the technical requirements of energy management systems in accordance with ISO 50001:2018, an industrial case study
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Moghadasi, M ORCID: 0000-0002-6007-7259, Izadyar, Nima
ORCID: 0000-0002-2487-5915, Moghadasi, A and Ghadamian, H
(2021)
Applying machine learning techniques to implement the technical requirements of energy management systems in accordance with ISO 50001:2018, an industrial case study.
Energy Sources, Part A: Recovery, Utilization and Environmental Effects.
ISSN 1556-7036
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Item type | Article |
URI | https://vuir.vu.edu.au/id/eprint/43139 |
DOI | 10.1080/15567036.2021.2011989 |
Official URL | https://www.tandfonline.com/doi/full/10.1080/15567... |
Subjects | Current > FOR (2020) Classification > 4611 Machine learning Current > Division/Research > College of Science and Engineering |
Keywords | energy system; energy efficiency; energy performance; energy saving; ethane decarbonization unit; EnMS; machine learning modeling |
Citations in Scopus | 8 - View on Scopus |
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