Special Issue on Monitoring and Diagnostics of Renewable Energy Systems


  • Alhussein Albarbar Department of Engineering, Manchester Met University, Manchester, M1 5GD, United Kingdom
  • Zhipeng Feng School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China https://orcid.org/0000-0002-3403-4386




Concerns about global warming and recent advances in the integration of renewable energy sources into power systems have necessitated the timely need for more powerful control and monitoring methods. The detection and diagnosis of potential to failures, at their onsets, in such power systems would improve their availability thus, increases the generation of clean energy and reduces the carbon footprint. This special issue is devoted to collection of state-of-the-art on modelling, data processing, condition monitoring, and preventive maintenance methods for renewable energy systems, including wind turbines, electric vehicle batteries and solar panels, to enhance their performance and overall effectiveness. The guest editorial would like to thank all the contributing authors for making their research outputs publicly available via this special issue. Thanks also extended to reviewers for their valuable comments for improving the quality of the submitted articles. We also would like to thank the journal’s production teams and editorial board for their assistance with the special issue.  


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How to Cite

Albarbar, A., & Feng, Z. (2023). Special Issue on Monitoring and Diagnostics of Renewable Energy Systems. Journal of Dynamics, Monitoring and Diagnostics, 2(3), 155–156. https://doi.org/10.37965/jdmd.2023.458