Submission Deadline: 10 March 2027 View: 40 Submit to Special Issue
Prof. Dr. Nicu Bizon
Email: nicu.bizon1402@upb.ro
Affiliation: Department of Electronics, Computers and Electrical Engineering, Pitești University Centre, The National University of Science and Technology POLITEHNICA Bucharest, Pitesti, Romania
Research Interests: smart grids, power systems, power convertors, explainable AI, artificial intelligence
Dr. Amitkumar V. Jha
Email: amit.jhafet@kiit.ac.in
Affiliation: School of Electronics Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, India
Research Interests: smart grids, cyber physical systems, artificial intelligence
Dr. Bhargav Appasani
Email: bhargav.appasanifet@kiit.ac.in
Affiliation: School of Electronics Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, India
Research Interests: LLMs, generative AI, full stack development, artificial intelligence
The recent developments in hardware and algorithm design have led to wide-scale adoption of generative artificial intelligence (AI). Large language models (LLMs) are now available to the general public, who are rapidly adopting them for productivity, entertainment, learning, etc. The smart grid has already undergone transformative change over the past few decades, and these technologies can have a tremendous impact on its operation. Generative AI technologies can be adopted to automate the energy management of the grid, generate synthetic data to foresee and predict rare faults in the grid , better forecasting, etc. Furthermore, as most smart grid applications are web-based, generative AI can be used to detect cybersecurity threats before they are exploited by criminals.
The training of these models and their inference can also create a severe strain on the existing grid infrastructure, necessitating approaches to ensure reliable operation. Thus, these technologies have both positives and negatives. This special issue aims to bring together researchers to share their work on this frontier topic. The relevant topics are:
· Generative AI for energy management automation in smart grid
· LLMs for smart grid applications
· Reliable operation of smart grid incorporating LLMs
· Impact of generative AI and LLMs on smart grid operation
· Generative AI for smart grid cybersecurity
· Penetrative testing using generative AI
· Synthetic data generation
· Forecasting using generative AI
Login
Register
Submit a Paper
Propose a Special lssue