Reduction of a district heating model using network decomposition
Author:
Affiliation:
1. TU Kaiserslautern Erwin-Schrödinger-Straße 1 67663Kaiserslautern Germany
2. Fraunhofer Institute for Industrial Mathematics ITWM Fraunhofer-Platz 1 67663Kaiserslautern Germany
Publisher
Wiley
Subject
Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/pamm.201900038
Reference4 articles.
1. D.Harutyunyan R.Ionutiu E.ter Maten J.Rommes W.Schilders andM.Striebel “Advanced Topics in Model Order Reduction” Mathematics in Industry 21 (Springer Berlin Heidelberg 2015) p. 361.
2. S.Gugercin R.Polyuga C.Beattie andA.van der Schaft Automatica 48 1963 (2012).
3. M.Rein J.Mohring T.Damm andA.Klar arXiv:1903.03342v1(2019).
4. X.Cheng Y.Kawano andJ.Scherpen IEEE Trans. Autom. Control 62 5026 (2017).
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Topology reduction through machine learning to accelerate dynamic simulation of district heating;Energy and AI;2024-09
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