Journal Article10.1109/tcsi.2024.3460803
Neural ODE Model of Power Electronic Converters With Accelerated Computation and High Fidelity
Hanchen Ge,Yaofeng Liang,Jinpeng Lei,Canjun Yuan,Zhicong Huang +4 more
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About: This article is published in IEEE Transactions on Circuits and Systems I-regular Papers. The article was published on 01 Jan 2024. The article focuses on the topics: Converters & Ode.
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Progress and Application of Equivalent Models for Power System Simulation With Renewable Penetration: A Review
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TL;DR: This review categorizes equivalent models (surrogate, reduced-order, hybrid) for power system simulation with renewable penetration, addressing challenges, advantages, and applicability, while identifying unsolved challenges and proposing potential solutions for broader adoption.
References
Physics-informed machine learning
George Em Karniadakis,Ioannis G. Kevrekidis,Lu Lu,Paris Perdikaris,Sifan Wang,Liu Yang +5 more
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TL;DR: Some of the prevailing trends in embedding physics into machine learning are reviewed, some of the current capabilities and limitations are presented and diverse applications of physics-informed learning both for forward and inverse problems, including discovering hidden physics and tackling high-dimensional problems are discussed.
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