Advancing Industrial Energy Efficiency with Data-Driven Methods: A Systematic Review and Roadmap for Research and Practice

Gokan May; Foivos Psarommatis

doi:10.20900/jsr20260036

Advancing Industrial Energy Efficiency with Data-Driven Methods: A Systematic Review and Roadmap for Research and Practice

Gokan May
, Foivos Psarommatis

School of Engineering

University of Oslo

Research output: Contribution to journal › Review article › peer-review

Original language	English
Article number	e260036
Journal	Journal of Sustainability Research
Volume	8
Issue number	2
DOIs	https://doi.org/10.20900/jsr20260036
State	Published - Apr 16 2026

ASJC Scopus Subject Areas

Geography, Planning and Development
Renewable Energy, Sustainability and the Environment
Environmental Science (miscellaneous)
Urban Studies

Keywords

artificial intelligence
data-driven methods
digital technologies
industrial energy efficiency
systematic review

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10.20900/jsr20260036

Cite this

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AU - Psarommatis, Foivos

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KW - data-driven methods

KW - digital technologies

KW - industrial energy efficiency

KW - systematic review

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Advancing Industrial Energy Efficiency with Data-Driven Methods: A Systematic Review and Roadmap for Research and Practice

ASJC Scopus Subject Areas

Keywords

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