Fault Prediction and Awareness for Power Distribution in Grid Connected RES Using Hybrid Machine Learning-Reference-Cited by-同舟云学术

Fault Prediction and Awareness for Power Distribution in Grid Connected RES Using Hybrid Machine Learning

Published:2024-05-02 Issue: Volume: Page:1-22
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Kaushal Rajanish Kumar¹,Raveendra K.²,Nagabhooshanam N.³⁴⁵,Azam Mohammed⁶,Brindha G.⁷,Anand D.⁸,Natrayan L.⁹,Rambabu Kasukurthi¹⁰

Affiliation:

1. Department of Electrical Engineering, Chandigarh University, Mohali, India

2. Department of ECE, Sri Venkateswara College of Engineering, Tirupati, India

3. Department of Mechanical Engineering, Aditya Engineering College, Surampalem, India

4. Department of Mechanical Engineering, Institute of Engineering and technology, GLA University, Mathura, India

5. Department of Research Analytics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India

6. Electronic and Communication Engineering, ISL College of Engineering, Chandrayangutta, Hyderabad, Telangana, India

7. St. Joseph’s College of Engineering, Chennai, India

8. Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India

9. Department of Mechanical Engineering, Saveetha School of Engineering, SIMATS, Chennai, Tamil Nadu, India

10. Department of Electrical and Electronics Engineering, Aditya Engineering College, Surampalem, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15325008.2024.2337217

Reference39 articles.

1. A Deep Explainable Model for Fault Prediction Using IoT Sensors

2. Software Fault Prediction Using an RNN-Based Deep Learning Approach and Ensemble Machine Learning Techniques

3. Political Security Threat Prediction Framework Using Hybrid Lexicon-Based Approach and Machine Learning Technique

4. Water Quality Management Using Hybrid Machine Learning and Data Mining Algorithms: An Indexing Approach

5. Hybrid machine learning approach for landslide prediction, Uttarakhand, India