The special issue “AI-empowered Smart Grid Technologies and EVs” is an informative compilation of modern research, delving into the fascinating world of AI technologies and their diverse roles. This collection, which includes a wide range of studies, approaches, and applications, emphasizes the critical role of AI-powered grids in various sectors.
The electric power grid is undergoing substantial transformation due to rapid advancements in renewable energy technologies, the Internet of Things (IoT), Artificial Intelligence (AI), Blockchain, etc. Developing smart electrical grids is critical for successfully integrating renewable energy sources into power networks. However, designing and operating a smart grid that includes renewable energy sources is daunting for both the power and computing industries. This challenge is primarily due to the intermittent and dispersed nature of renewable energy sources, the multidisciplinary approach required for renewable energy systems, and the extensive use of advanced technologies in smart grids, including energy management and route optimization for electric vehicles (EVs). Furthermore, the future energy landscape will likely become more participatory, allowing energy consumers to function as customers and providers. This movement is reminiscent of the internet’s revolution of the computer industry, which moved from the mainframe computer model to today’s distributed and parallel computing environments. As a result, further research is required to solve developing concerns while maintaining the IoT-enabled power grid’s operational stability, cyber security, and reliability.
This special issue focuses on current improvements in intelligent electric power grids that may handle more renewable energy in utility systems and energy management for EVs and route optimization. The Special Issue focuses on renewable energy sources like wind, solar, and wave energy. It delves into various aspects of sustainable energy generation, such as predicting sustainable energy production with AI, controlling sustainable energy to support grid frequency and voltage with IoT and AI, assessing the impact of sustainable energy generation on net load variability, and calculating the capacity credit associated with sustainable energy generation. From a grid viewpoint, the Special Issue discusses essential concerns such as rising renewable energy penetration and cyber security challenges with blockchain. It includes the necessity for dispatchable power reserves in a variety of situations, as well as potential system dependability issues.
Topics of interest include, but are not limited to:
A. Smart Grids and AI
- Grid optimization with machine learning.
- Predictive analytics for sustainable energy.
- Evolution of intelligent energy management.
- Adaptive control using AI.
- Cognitive computing for decisions.
B. Renewable Energy Integration
- Challenges in wind energy integration.
- Solar energy: grid stability.
- Wave energy impact on grids.
- Forecasting for renewable energy.
- Microgrids for resilience.
C. Cybersecurity and Blockchain
- Cybersecurity in IoT-enabled grids.
- Blockchain for secure transactions.
- Decentralized identity management.
- Smart contracts for transparency.
- Quantum-resistant cryptography.
D. Sustainable Energy for EVs
- Route optimization for EV charging.
- Intelligent charging infrastructure.
- Vehicle-to-grid (V2G) technology.
- Energy-efficient EV navigation.
- AI-driven predictive maintenance.
E. IoT-enabled Grids
- IoT in renewables monitoring.
- Edge computing for grid data.
- Sensor networks for distribution.
- Scalability in IoT grids.
- Resilience with IoT control.
F. Participatory Energy Systems
- Consumer and prosumer roles.
- Peer-to-peer energy trading.
- Community-based renewable projects.
- Social and economic impact.
- Regulatory frameworks for consumers.
G. Sustainable Energy Generation
- AI-based prediction of energy.
- Control strategies for stability.
- Advanced monitoring for sustainability.
- Energy storage in grids.
- Resilient energy systems.
H. Net Load Variability
- Impact assessment of sustainable energy.
- Dynamic load forecasting.
- Energy storage for variability.
- Adaptive demand response.
- Balancing supply and demand.
Submission Guidelines
- For Initial Submission use pdf file and Don’t include author’s name and affiliation in the manuscript pdf file. Keep remember! DON’T INCLUDE THE AUTHOR’S NAME IN THE PDF FILE OF INITIAL SUBMISSION.
- You can download the Online Submission Guidelines for steps wise submission process.
- During Online submission, you have to select Special Issue Paper from the Track menu and then select Special Issue on AI-empowered Smart Grid Technologies and EVs 2024 in Special Issue/Selection. (Screenshot attached below)
- In cover letter section, the author must specify the topic code from A1 to H5 (minimum 1 with maximum 3) and the invitation code (if applicable).
Click on “online submission” button to submit your manuscript. You have to register yourself first
Important Dates
Paper Submission Deadline: 30th November, 2024
Acceptance Notification: 4-6 week (after submission)
Publication Date: 2 weeks after acceptance
Guest Editorial Board
Guest Editor-in-Chief
- Dr. Aparna Kumari, Nirma University, Gujarat, India
Guest Editors
- Riaz Khan, Yangtze River Delta Research Institute, China
Publication Fee
Publishing an article in Advances in Science, Technology and Engineering Systems Journal requires Article Processing Charges that will be billed by submitting author following the acceptance of an article for publication. For the special issue, there is a special discount on publication charge of 15% as an invited article which is applicable after applying country-based discount. For more information visit the publication fee page https://www.astesj.com/publication-fee/.
Special Discount
There is a flat 35% discount (for this special issue only) on the publication fee for all the papers submitted till 31st October 2024.
Contact Information
Dr. Aparna Kumari
Nirma University, Gujarat, India