Machine Learning Algorithms for Predictive Maintenance in Hybrid Renewable Energy Microgrid Systems
- Title
- Machine Learning Algorithms for Predictive Maintenance in Hybrid Renewable Energy Microgrid Systems
- Creator
- Edwin Prabhakar P.B.; Rajarajeswari S.; Antad S.; Jeshurun S.B.; Badhoutiya A.; Chandrika S.; Suresh Babu D.
- Description
- The rapid expansion of hybrid renewable energy microgrid systems presents new challenges in maintaining system reliability and performance. This paper explores the application of machine learning algorithms for predictive maintenance in such systems, focusing on the early detection of potential failures to optimize operational efficiency and reduce downtime. By integrating real-time data from solar, wind, and storage components, the proposed models predict the remaining useful life (RUL) of critical components. The results demonstrate significant improvements in predictive accuracy, offering a robust solution for enhancing the reliability and longevity of renewable energy microgrids. The Authors, published by EDP Sciences.
- Source
- E3S Web of Conferences, Vol-591
- Date
- 2024-01-01
- Publisher
- EDP Sciences
- Subject
- Energy Management; Hybrid Renewable Energy Systems; Machine Learning; Microgrid; Predictive Maintenance; Remaining Useful Life (RUL)
- Coverage
- Edwin Prabhakar P.B., Department of CSE, New Prince Shri Bhavani College of Engineering and Technology, Tamil nadu, Chennai, 600073, India; Rajarajeswari S., Department of S&H, Prince Shri Venkateshwara Padmavathy Engineering College, Chennai, 127, India; Antad S., Department of Computer Engineering, Vishwakarma Institute of Technology, Pune, India; Jeshurun S.B., School of Business and Management, CHRIST University, Bangaluru, India; Badhoutiya A., Department of Electrical Engineering, GLA University, Mathura, India; Chandrika S., Department of Mechanical Engineering, Dr.D.Y.Patil Institute of Technology, Pimrpi, Pune, India; Suresh Babu D., Department of EEE, School of Engineering, Mohan Babu University, Andhra Pradesh, Tirupati, India
- Rights
- Restricted Access
- Relation
- ISSN: 25550403
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Edwin Prabhakar P.B.; Rajarajeswari S.; Antad S.; Jeshurun S.B.; Badhoutiya A.; Chandrika S.; Suresh Babu D., “Machine Learning Algorithms for Predictive Maintenance in Hybrid Renewable Energy Microgrid Systems,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/18937.