Symmetry in Clean Energy Systems: Recent Developments and Future Directions Towards AI

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Engineering and Materials".

Deadline for manuscript submissions: 31 March 2026 | Viewed by 20

Special Issue Editors


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Guest Editor
Smart Energy System Integration Research Unit, Department of Physics, Faculty of Science, Naresuan University, Phitsanulok 65000, Thailand
Interests: renewable energy systems; energy storage systems; phase change material; smart energy; solar thermal applications

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Guest Editor Assistant
Department of Computer Technology, Faculty of Industrial Technology, Kamphaeng Phet Rajabhat University, Kamphaeng Phet 62000, Thailand
Interests: sustainable energy technologies; intelligent control; smart grid; artificial intelligence

Special Issue Information

Dear Colleagues,

This Special Issue addresses the benefits and operational complications of renewable energy systems (RES) in achieving 100% carbon-free energy generation. Energy losses are primarily due to system design failures and operational asymmetries. Secondly, imbalanced power flow to the conventional grid deteriorates the power quality, and voltage imbalance occurs. Accounting for the generation and consumption becomes a significant issue due to a lack of automation and real-time data monitoring. Furthermore, fault detection and optimisation through machine/deep learning enable RES to operate with minimal power conversion and transmission losses. Supervised machine learning models enhance the system’s efficiency and detect anomalies in operation. Early fault detection significantly reduces the power plant outage period and prevents the higher risk of component replacement and cost-effective maintenance. AI-driven fault/anomaly detection and deploying automated fault rectifying units without human-made decisions could be a futuristic trend in the RES. 

This Special Issue welcomes researchers to submit their original research and review articles and on RES, including recent developments and future directions towards AI.

Dr. Karthikeyan Velmurugan
Guest Editor

Dr. Butploy Narut
Guest Editor Assistant

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

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Keywords

  • load profile analysis, RES design, and simulation
  • hybrid RES with electrical/thermal energy storage system
  • uninterrupted power flow and grid stability through a smart microgrid
  • harmonic distortion control and management
  • active and reactive power management
  • anomaly and fault detection using ML and DL
  • energy demand and generation power forecasting
  • RES health monitoring and predictive maintenance
  • real-time data-sourced supervised learning models for grid stability
  • AI-driven decision making and deployment of robots for fault attendance
  • economic and environmental analysis

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Published Papers

This special issue is now open for submission.
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