Implementation of Deep Learning to Prevent Peak-Driven Power Outages Within Manufacturing Systems
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-29717-5_2
Reference34 articles.
1. Henning, S., et al.: Goals and measures for analyzing power consumption data in manufacturing enterprises. J. Data, Inf. Manag. 3(1), 65–82 (2021)
2. Jacobus, H., Herman, H., Mathews, M.J., Vosloo, J.C.: Using big data for insights into sustainable energy consumption in industrial and mining sectors. J. Clean. Prod. 197, 1352–1364 (2018)
3. Liu, X., Nielsen, P.S.: Scalable prediction-based online anomaly detection for smart meter data. Inf. Syst. 77, 34–47 (2018)
4. Vijayaraghavan, A., Dornfeld, D.: Automated energy monitoring of machine tools. CIRP Ann. 59(1), 21–24 (2010)
5. M. Medojević et al. “Energy management in industry 4.0 ecosystem: a review on possibilities and concerns. In: B. Katalinić (eds.) Proceedings of the 29th DAAAM International Symposium, Vienna, Austria, DAAAM International, pp. 674–680 (2018)
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