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Topic Title:

AI in Energy System Applications

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Submission Deadline:

30 November 2023


Topic Editors:

  • Dr. Hamed Hashemi-Dezaki, University of Kashan, Iran 

  • Dr. Ali Karimi, University of Kashan, Iran 

  • Dr. Bo Yang, Kunming University of Science and Technology, China

  • Dr. Dongran Song, Central South University, China 

  • Dr. Ali Khosravi, University of Southern Denmark, Denmark

  • Dr. Mohamed Talaat, Zagazig University, Egypt



Artificial intelligence (AI) is a key enabler in transforming the energy sector, particularly with the emergence of smart grids that integrate renewable energy sources, distributed generations (DGs), energy storage systems, and other concepts, like demand response. AI can help optimize the operation and management of smart grids and energy systems by leveraging data from sensors, meters, devices, and users. AI can also support the innovation and design of new energy materials and devices, automate complex energy processes and systems, and provide insights into the human and social aspects of energy use and policy. However, applying AI to energy also poses some technical and ethical challenges, such as ensuring data quality and availability, validating and verifying AI models and solutions, balancing trade-offs between performance and explainability, and ensuring fairness, accountability, and transparency of AI decisions and impacts.


This special issue aims to showcase the latest research progress and innovations in the cross-disciplinary area of AI and energy, focusing on the applications of AI to smart grids, energy systems, power systems, and related topics, such as Internet-of-Things (IoT), machine learning, deep learning, smart metering, smart buildings, smart cities, microgrids, distributed energy resources (DERs), electric vehicles (EVs), cyberphysical systems (CPSs), and cyber-security. The special issue welcomes original research articles, short communications, perspective articles, and review articles that demonstrate the potential and impact of AI in various domains of energy systems and smart grids, such as planning, operation, control, optimization, protection, reliability, resilience, stability, forecasting, pricing, market design, customer engagement, and demand response. The special issue also encourages submissions that address the challenges and opportunities of applying AI to energy systems in the context of sustainable development goals.



1. Emerging trends and future directions for Artificial Intelligence (AI) in energy systems

2. Integration of artificial intelligence (AI) to energy systems

3. Internet of Things (IoT)

4. Data analytics

5. Machine learning (ML)

6. Deep learning (DL)

7. Smart grids

8. Microgrids

9. Internet-of-Things (IoT)

10. Renewable energy

11. Energy efficiency

12. Energy forecasting

13. Energy optimization

14. Energy management

15. Energy policy

16. Decision-making under uncertainty

17. Electric vehicles

18. Artificial neural networks (ANNS) and energy systems

19. Power market


Participating Journals:

Intelligent Automation & Soft Computing

Energy Engineering

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