Stobert, Arthur ; Ioshchikhes, Borys ; Weigold, Matthias (2023)
Machine Learning Based Identification and Prioritization of Electrical Consumers for Energy Monitoring.
In: MM Science Journal, 2023 (4)
doi: 10.17973/MMSJ.2023_11_2023123
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
This paper presents a machine learning based tool for the automated analysis of circuit diagrams, identifying electrical consumers through computer vision. Detected technical information is extracted and summarized in a report. In a web-based interactive dashboard the identified consumers are prioritized for further actions. Based on their nominal power an ABC-analysis classifies the consumers into three groups. Within an energy portfolio they are divided into four distinctive categories. In both approaches the consumers' classification leads to specific strategies for energy consumption measurements in the subsequent detailed analysis.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Stobert, Arthur ; Ioshchikhes, Borys ; Weigold, Matthias |
| Art des Eintrags: | Bibliographie |
| Titel: | Machine Learning Based Identification and Prioritization of Electrical Consumers for Energy Monitoring |
| Sprache: | Englisch |
| Publikationsjahr: | November 2023 |
| Ort: | Prague, Czech Republic |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | MM Science Journal |
| Jahrgang/Volume einer Zeitschrift: | 2023 |
| (Heft-)Nummer: | 4 |
| Reihe: | Special Issue | HSM 2023 |
| Veranstaltungstitel: | 17th International Conference on High Speed Machining |
| Veranstaltungsort: | Nanjing, China |
| Veranstaltungsdatum: | 25.10. - 28.10.2023 |
| DOI: | 10.17973/MMSJ.2023_11_2023123 |
| URL / URN: | https://www.mmscience.eu/journal/issues/november-2023/articl... |
| Kurzbeschreibung (Abstract): | This paper presents a machine learning based tool for the automated analysis of circuit diagrams, identifying electrical consumers through computer vision. Detected technical information is extracted and summarized in a report. In a web-based interactive dashboard the identified consumers are prioritized for further actions. Based on their nominal power an ABC-analysis classifies the consumers into three groups. Within an energy portfolio they are divided into four distinctive categories. In both approaches the consumers' classification leads to specific strategies for energy consumption measurements in the subsequent detailed analysis. |
| Freie Schlagworte: | Computer Vision, Decision Support, Energy Transparency |
| 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: | 18 Apr 2024 08:39 |
| Letzte Änderung: | 16 Jul 2024 08:53 |
| PPN: | 517258099 |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
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