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      Predicting industrial building energy consumption with statistical and machine-learning models informed by physical system parameters

      Author(s): , ,
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      Journal: Renewable and Sustainable Energy Reviews
      Publisher: Elsevier BV

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          Random Forests

          Leo Breiman (2001)
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            Greedy function approximation: A gradient boosting machine.

            Jerome Friedman (2001)
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              Scikit-learn: machine learning in Python

              Pedregrosa, F Pedregrosa (2011)
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                Author and article information

                Contributors
                Journal
                Title: Renewable and Sustainable Energy Reviews
                Abbreviated Title: Renewable and Sustainable Energy Reviews
                Publisher: Elsevier BV
                ISSN (Print): 13640321
                Publication date Created: February 2023
                Publication date (Print): February 2023
                Volume: 172
                Page: 113045
                Article
                DOI: 10.1016/j.rser.2022.113045
                SO-VID: 83596177-d45e-45e8-9c5e-6e47c445ca48
                Copyright © © 2023
                License:

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://www.elsevier.com/open-access/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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