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A Systematic Review on Predicting and Forecasting the Electrical Energy Consumption in the Manufacturing Industry

期刊

ENERGIES
卷 14, 期 4, 页码 -

出版社

MDPI
DOI: 10.3390/en14040968

关键词

energy; manufacturing; prediction; forecasting; modelling

资金

  1. German Research Foundation
  2. Open Access Publishing Fund of Technical University of Darmstadt

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This paper reviews existing approaches to predict or forecast energy consumption in the manufacturing industry in the context of the European Green Deal, addressing the environmental challenges faced by the industry. The review categorizes seventy-two articles and derives future research activities based on the findings.
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.

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