Predictive Maintenance in Smart Grids with Long Short-Term Memory Networks (LSTM)-Reference-Cited by-同舟云学术

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

Published:2024-05-09 Issue: Volume:12 Page:1370-1375
ISSN:
Container-title:2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE)
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Author:

Goyal Himanshu Rai¹,Almusawi Muntather²,Otero-Potosi Santiago³,Varshney Neeraj⁴,Sharma Vishal⁵,Rao A Kakoli⁶

Affiliation:

1. Graphic Era Deemed to be University,Department of Computer Science & Engineering,Dehradun

2. The Islamic University,Department of computers Techniques Engineering,Najaf,Iraq

3. Instituto Superior Tecnológico Liceo Aduanero,Department of Investigation,Ibarra,Ecuador

4. GLA University,Department of Computer Engineering and Applications,Mathura

5. Lovely Professional University,Phagwara,India

6. Lloyd Institute of Engineering & Technology,Greater Noida

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10592860/10592845/10593353.pdf?arnumber=10593353

Reference37 articles.

1. Energy Usage Forecasting Model Based on Long Short-Term Memory (LSTM) and eXplainable Artificial Intelligence (XAI)

2. Predicting Energy Consumption Using LSTM, Multi-Layer GRU and Drop-GRU Neural Networks

3. Electric Vehicle Charging System in the Smart Grid Using Different Machine Learning Methods

4. A Survey of Time-Series Prediction for Digitally Enabled Maintenance of Electrical Grids

5. Wild Horse Optimization with Deep Learning-Driven Short-Term Load Forecasting Scheme for Smart Grids

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