Predictive Maintenance in Smart Grids with Long Short-Term Memory Networks (LSTM)

This research explores the application of Long Short-Term Memory Systems (LSTMs) and conventional machine learning calculations for prescient support in shrewd grids. Leveraging a differing dataset, the study compares the execution of these models, uncovering that the LSTM demonstration outperforms...

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Bibliographische Detailangaben

Veröffentlicht in:	2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE) S. 1370 - 1375
Hauptverfasser:	Goyal, Himanshu Rai, Almusawi, Muntather, Otero-Potosi, Santiago, Varshney, Neeraj, Sharma, Vishal, Rao, A Kakoli
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 09.05.2024
Schlagworte:	Energy Systems Long short term memory Long Short-Term Memory Networks (LSTMs) Machine Learning Maintenance Nearest neighbor methods Predictive Maintenance Smart grids Support vector machines Transient analysis Writing
Online-Zugang:	Volltext
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