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A Variational Neural Ordinary Differential Equation-based Fast Inference for Long-term Dynamic Stability of Integrated Electricity-gas System
Collaborative Regulation and Interactive Trading of Urban Integrated Energy System | 更新时间：2026-02-06

    • A Variational Neural Ordinary Differential Equation-based Fast Inference for Long-term Dynamic Stability of Integrated Electricity-gas System

    • “Experts propose an IEGS long-term transient simulation method based on V-NOTE, establishing a dynamic simulation model to solve the problems of low efficiency and poor accuracy in traditional simulations, and providing an efficient solution for stability analysis of electric pneumatic coupling systems.”
    • Proceedings of the CSEE   Vol. 45, Issue 10, Pages: 3737-3751(2025)

    • DOI：10.13334/j.0258-8013.pcsee.240804    

      CLC： TM74

    • Received：09 April 2024，

      Online First：02 January 2025，

      Published：20 May 2025

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  • Jingte YUAN, Gao QIU, Youbo LIU, et al. A Variational Neural Ordinary Differential Equation-based Fast Inference for Long-term Dynamic Stability of Integrated Electricity-gas System[J]. Proceedings of the CSEE, 2025, 45(10): 3737-3751. DOI： 10.13334/j.0258-8013.pcsee.240804.

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