RETRACTED: Optimizing solar power plant efficiency through advanced analytical framework and comparative analysis-Reference-Cited by-同舟云学术

RETRACTED: Optimizing solar power plant efficiency through advanced analytical framework and comparative analysis

Published:2024-02-14 Issue:2 Volume:46 Page:4995-5011
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Senthil Kumar V.¹,Aruna R.²,Varalatchoumy M.³,Manikannan P.⁴,Santhana Krishnan T.⁵,Usha Rani B.⁶,Kumar Ashok⁷,Rajaram A.⁸

Affiliation:

1. Department of Computer Science and Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Tiruchirappalli, Tamil Nadu, India

2. Department of Electronics and Communication Engineering, AMC Engineering College, Bengaluru, Karnataka, India

3. Department of Computer Science and Engineering, Cambridge Institute of Technology, Bengaluru, Karnataka, India

4. Department of Electrical and Electronics Engineering, A.K.T Memorial College of Engineering and Technology, Kallakurichi, Tamil Nadu, India

5. Department of Electrical and Electronics Engineering, Rajalakshmi Engineering College (Autonomous), Chennai, Tamil Nadu, India

6. Department of Electronics and Communication, AMC Engineering College, Bangalore, Karnataka, India

7. Department of Computer Science, Banasthali Vidyapith, Rajasthan, India

8. Department of Electronics and Communication Engineering, E.G.S Pillay Engineering College, Nagapattinam, India

Abstract

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.

Publisher

IOS Press

Reference20 articles.

1. Solar power forecasting using machine learning techniques: A comparative analysis;Johnson;Renew Energy,2020

2. Optimal operation of solar power plants considering equipment performance degradation;Rahman;Sol Energy,2020

3. Anomaly detection for solar power plants using deep learning-based methods;Chen;Energy Procedia,2020

4. Enhancing the efficiency of solar power plants using IoT-based monitoring and control systems;Li;J Clean Prod,2020

5. Data-driven approach for predictive maintenance in solar power plants using machine learning;Sharma;J Clean Prod,2021

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