AI in Green Energy Technologies and Their Applications

Submission Deadline: 30 September 2025 (closed) View: 3192 Submit to Journal

Guest Editors

Asst. Prof. Dr. Mahasak Ketcham

Email: mahasak.k@itd.kmutnb.ac.th

Affiliation: Department of Information Technology Management, King Mongkut’s University of Technology North Bangkok, Bangkok,10800, Thailand

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Research Interests: AIoT (Artificial Intelligence of Things), smart home management system, Signal Processing, Image Processing in Energy, IoT in Energy

Asst. Prof. Dr. Thittaporn Ganokratanaa

Email: thittaporn.gan@kmutt.ac.th

Affiliation: Department of Mathematics, King Mongkut's University of Technology Thonburi, Bangkok, 10140, Thailand

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Research Interests: Computer Vision, Image Processing, Machine Learning, Human-computer Interaction, AIoT

Dr. Songklod Sriprang

Email: songklod.sri@rmutr.ac.th

Affiliation: Department of Industrial and Technology, Rajamangala University of Technology Rattanakosin Wang Klai Kangwon, Prachuap Khiri Khan, 77110,Thailand 

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Research Interests: Permanent Magnet Synchronous Motor, Synchronous Motor, Control System, Electric Vehicles, Hybrid Electric Vehicles, Optimal Control, Permanent Magnet, Voltage Source Inverter, Control Parameters, Current Control, Fundamental Frequency, Model-free Control

Summary

The integration of Artificial Intelligence (AI) in green energy research has opened new pathways for enhancing the efficiency, scalability, and sustainability of renewable energy technologies. By leveraging AI-driven techniques, researchers are developing innovative solutions to optimize energy generation, improve storage systems, manage smart grids, and predict energy demands with unprecedented accuracy. This special issue aims to bring together cutting-edge research that showcases the transformative role of AI in green energy technologies and their applications.

Scope and Topics

This special issue seeks original research articles, comprehensive reviews, and case studies focusing on the use of AI in advancing green energy systems. Topics of interest include, but are not limited to:

1. AI in Renewable Energy Generation

· Enhancing solar panel efficiency using machine learning.

· Real-time wind energy forecasting with deep learning.

· AI applications for optimizing biomass energy production.

2. Smart Grids and Energy Distribution

· Energy management in smart grids using AI.

· Real-time energy data analytics for optimizing energy distribution.

· AI-driven planning and control for peer-to-peer (P2P) energy trading systems.

3. Energy Storage Systems

· AI algorithms for improving battery performance in energy storage systems.

· Predicting battery lifespan using AI techniques.

· AI-based management systems for hybrid energy storage solutions.

4. Smart Homes and IoT

· AI-driven optimization of smart home energy consumption.

· Automated monitoring and control of energy use in intelligent homes.

· Analyzing user behavior with AI to reduce energy consumption.

5. Predictive Maintenance for Green Energy Systems

· Sensor data analysis for wind turbine maintenance prediction.

· AI for fault detection in solar panel systems.

· Monitoring and diagnosing energy storage systems using AI.

6. AI in Hydrogen and Bioenergy Systems

· Optimizing hydrogen production processes with AI.

· AI for analyzing biogas production efficiency.

· AI-driven management of biomass energy production plants.

7. Climate Impact Analysis and Carbon Emission Reduction

· Using AI to analyze environmental impacts of renewable energy systems.

· Planning net-zero carbon emission strategies in green energy projects with AI.

· AI modeling for greenhouse gas emission reduction.

8. AI-Driven Optimization in Renewable Energy Systems

· AI algorithms for hybrid renewable energy system optimization.

· Using meteorological data for renewable energy risk assessment with AI.

· AI-powered automation in solar power plant operations.

9. Future Applications of AI in Green Energy

· AI-driven detection of energy waste in large-scale buildings.

· Development of Virtual Power Plants (VPP) using AI.

· AI in planning energy production based on real-time demand.

Keywords

Published Papers