Abstract
The traditional energy industry has many problems, such as huge losses and non-renewability. With the development of informatization and digitalization, integrated smart energy systems have become a current research hotspot. At present, the research on integrated smart energy is still in the theoretical stage, and the fault warning part for integrated smart energy is still very scarce. Therefore, this article proposes a comprehensive energy failure warning technology based on digital twins. Firstly, the comprehensive energy system based on digital twins is divided into five layers, and the SOM algorithm is used to analyze the system’s status data for fault warning. Finally, the superiority of the proposed method was verified through experiments.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
