Real-Time Fault Detection and Classification in Smart Grids Using Support Vector Machines-Reference-Cited by-同舟云学术

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Real-Time Fault Detection and Classification in Smart Grids Using Support Vector Machines

Published:2024-02-21 Issue: Volume:12 Page:1-6
ISSN:
Container-title:2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM)
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Author:

Gupta Sarita¹,Gard Gopal Krishan²,Varshney Neeraj³,Rao A L N⁴,Srivastava Amit⁵,Sharma Deepti⁶

Affiliation:

1. Chitkara University,Chitkara Centre for Research and Development,Himachal Pradesh,India,174103

2. Chitkara University,Centre of Research Impact and Outreach, Chitkara Business School,Punjab,India

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

4. Lloyd Institute of Engineering & Technology,Greater Noida

5. Lloyd Law College,Greater Noida

6. Uttaranchal University,Uttaranchal Institute of Management,Department of Management,Dehradun,248007

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10562381/10563197/10563501.pdf?arnumber=10563501

Reference31 articles.

1. Development of a cloud-assisted classification technique for the preservation of secure data storage in smart cities;Kumar,2023

2. Application of machine learning methods in fault detection and classification of power transmission lines: a survey;Shakiba,2023

3. Glass transition temperature of functionalized graphene epoxy composites using molecular dynamics simulation

4. Achieving Reliability in Cloud Computing by a Novel Hybrid Approach;Shahid

5. A Review of Real-Time Fault Diagnosis Methods for Industrial Smart Manufacturing;Yan

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