Walther, Jessica ; Weigold, Matthias (2021)
A Systematic Review on Predicting and Forecasting the Electrical Energy Consumption in the Manufacturing Industry.
In: Energies, 14 (4)
doi: 10.3390/en14040968
Artikel, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (Abstract)
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.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2021 |
| Autor(en): | Walther, Jessica ; Weigold, Matthias |
| Art des Eintrags: | Bibliographie |
| Titel: | A Systematic Review on Predicting and Forecasting the Electrical Energy Consumption in the Manufacturing Industry |
| Sprache: | Englisch |
| Publikationsjahr: | 2021 |
| Verlag: | MDPI |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Energies |
| Jahrgang/Volume einer Zeitschrift: | 14 |
| (Heft-)Nummer: | 4 |
| DOI: | 10.3390/en14040968 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | 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. |
| Freie Schlagworte: | energy, forecasting, manufacturing, modelling, prediction |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) > ETA Energietechnologien und Anwendungen in der Produktion |
| Hinterlegungsdatum: | 04 Mär 2021 06:34 |
| Letzte Änderung: | 03 Jul 2024 02:50 |
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| Suche nach Titel in: | TUfind oder in Google |
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A Systematic Review on Predicting and Forecasting the Electrical Energy Consumption in the Manufacturing Industry. (deposited 13 Aug 2021 13:08)
- A Systematic Review on Predicting and Forecasting the Electrical Energy Consumption in the Manufacturing Industry. (deposited 04 Mär 2021 06:34) [Gegenwärtig angezeigt]
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