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Application of machine learning tools for energy efficiency in industry: A review

  • Published:2020-11 Issue: Volume:6 Page:1181-1199
  • ISSN:2352-4847
  • Container-title:Energy Reports
  • language:en
  • Short-container-title:Energy Reports

Author:

Narciso Diogo A.C.,Martins F.G.

Funder

Laboratory for Process Engineering, Environment, Biotechnology and Energy – LEPABE

Norte Portugal Regional Operational Programme

Publisher

Elsevier BV

Subject

General Energy

Reference110 articles.

1. A review on energy saving strategies in industrial sector;Abdelaziz;Renew. Sustain. Energy Rev.,2011

2. Scanning the Industry 4.0: A literature review on technologies for manufacturing systems;Alcácer;Eng. Sci. Technol. Int. J.,2019

3. Key performance indicators for energy management in the Swedish pulp and paper industry;Andersson;Energy Strategy Rev.,2019

4. Impact after three years of the Swedish energy audit program;Backlund;Energy,2015

5. Energy performance analysis of continuous processes using surrogate models;Beisheim;Energy,2019

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