Special Issue

Topic: Digital Twin and Event Perception Technologies in Smart Grids
A Special Issue of Complex Engineering Systems
ISSN 2770-6249 (Online)
Submission deadline: 15 Nov 2024
Guest Editor
Assistant Guest Editors
Special Issue Introduction
With the continuous evolution of smart grids, the complexity of power network systems is further heightened, posing significant challenges to traditional research frameworks. In response, digital twin technology and event perception technology have emerged as crucial solutions for observing and analyzing the future of intelligent power grids. Digital twin technology employs effective simulation and modeling methods to precisely observe the real-time status of the grid, providing a decision-making foundation to better understand and guide power system operations. Meanwhile, event perception technology, by monitoring and analyzing real-time data of the grid and using big data analytics, constructs effective metrics, unearths profound information within the grid, and promptly offers feedback and decision support to operators, thereby enhancing the reliability of the power system and swiftly addressing potential faults.
This Special Issue aims to delve into the application and innovation of digital twin and event perception technologies in smart grids, particularly focusing on their unique contributions in handling the dynamics and uncertainties of complex systems.
This Special Issue aims to delve into the application and innovation of digital twin and event perception technologies in smart grids, particularly focusing on their unique contributions in handling the dynamics and uncertainties of complex systems.
Keywords
Digital twin, event perception, big data analytics, complex system, situation awareness
Submission Deadline
15 Nov 2024
Submission Information
For Author Instructions, please refer to https://www.oaepublish.com/comengsys/author_instructions
For Online Submission, please login at https://www.oaecenter.com/login?JournalId=comengsys&IssueId=comengsys2411151960
Submission Deadline: 15 Nov 2024
Contacts: Lyric Zhang, Assistant Editor, Lyric@oaeservice.com
Published Articles
Coming soon