A methodology for generating reduced-order models for large-scale buildings using the Krylov subspace method-Reference-Cited by-同舟云学术

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A methodology for generating reduced-order models for large-scale buildings using the Krylov subspace method

Published:2020-05-24 Issue:4 Volume:13 Page:419-429
ISSN:1940-1493
Container-title:Journal of Building Performance Simulation
language:en
Short-container-title:Journal of Building Performance Simulation

Author:

Kim Donghun¹²,Bae Yeonjin¹³^ORCID,Yun Sehyun⁴,Braun James E.¹

Affiliation:

1. Ray W. Herrick Laboratories, Purdue University, West Lafayette, IN, USA

2. Building Technology and Urban Systems Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA

3. Buildings Integration and Controls Research, Oak Ridge National Laboratory, Oak Ridge, TN, USA

4. School of Mechanical and Aerospace Engineering, Seoul National University, Seoul, South Korea

Funder

Center for High Performance Building at Purdue University

Publisher

Informa UK Limited

Subject

Computer Science Applications,Modeling and Simulation,Building and Construction,Architecture

Link

https://www.tandfonline.com/doi/pdf/10.1080/19401493.2020.1752309

Reference33 articles.

1. Approximation of Large-Scale Dynamical Systems

2. A survey of model reduction methods for large-scale systems

3. Krylov space methods on state-space control models

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