LAPSE:2023.29643
Published Article
LAPSE:2023.29643
A Systematic Review on Predicting and Forecasting the Electrical Energy Consumption in the Manufacturing Industry
April 13, 2023
In the context of the European Green Deal, the manufacturing industry faces environmental challenges due to its high demand for electrical energy. Thus, measures for improving the energy efficiency or flexibility are applied to address this problem in the manufacturing industry. In order to quantify energy efficiency or flexibility potentials, it is often necessary to predict or forecast the energy consumption. This paper presents a systematic review of state-of-the-art of existing approaches to predict or forecast the energy consumption in the manufacturing industry. Seventy-two articles are classified according to the defined categories System Boundary, Modelling Technique, Modelling Focus, Modelling Horizon, Modelling Perspective, Modelling Purpose and Model Output. Based on the reviewed articles future research activities are derived.
Keywords
Energy, forecasting, manufacturing, Modelling, prediction
Suggested Citation
Walther J, Weigold M. A Systematic Review on Predicting and Forecasting the Electrical Energy Consumption in the Manufacturing Industry. (2023). LAPSE:2023.29643
Author Affiliations
Walther J: Institute of Production Management, Technology and Machine Tools (PTW), Department Mechanical Engineering, Technical University of Darmstadt, Otto-Berndt-Str. 2, 64287 Darmstadt, Germany [ORCID]
Weigold M: Institute of Production Management, Technology and Machine Tools (PTW), Department Mechanical Engineering, Technical University of Darmstadt, Otto-Berndt-Str. 2, 64287 Darmstadt, Germany [ORCID]
Journal Name
Energies
Volume
14
Issue
4
First Page
968
Year
2021
Publication Date
2021-02-12
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14040968, Publication Type: Review
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LAPSE:2023.29643
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doi:10.3390/en14040968
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Apr 13, 2023
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CC BY 4.0
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