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 https://doi.org/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 4 - View on Scopus
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