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...

Full description

Bibliographic Details

Published in:	2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE) pp. 1370 - 1375
Main Authors:	Goyal, Himanshu Rai, Almusawi, Muntather, Otero-Potosi, Santiago, Varshney, Neeraj, Sharma, Vishal, Rao, A Kakoli
Format:	Conference Proceeding
Language:	English
Published:	IEEE 09.05.2024
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!