A high-fidelity building performance simulation test bed for the development and evaluation of advanced controls-Reference-Cited by-同舟云学术

A high-fidelity building performance simulation test bed for the development and evaluation of advanced controls

Published:2022-04-06 Issue:3 Volume:15 Page:379-397
ISSN:1940-1493
Container-title:Journal of Building Performance Simulation
language:en
Short-container-title:Journal of Building Performance Simulation

Author:

Marzullo Thibault¹²^ORCID,Dey Sourav¹,Long Nicholas¹²^ORCID,Leiva Vilaplana José¹³,Henze Gregor¹²⁴^ORCID

Affiliation:

1. Department of Civil, Environmental and Architectural Engineering, University of Colorado, Boulder, CO, USA

2. National Renewable Energy Laboratory, Golden, CO, USA

3. Universitat Politècnica de Catalunya, Barcelona, Spain

4. Renewable and Sustainable Energy Institute, Boulder, CO, USA

Funder

Building Technologies Program, U.S. Department of Energy

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/19401493.2022.2058091

Reference41 articles.

1. Andersson, Joel, Johan Åkesson, and Moritz Diehl. 2012. “CasADi: A Symbolic Package for Automatic Differentiation and Optimal Control.” InRecent Advances in Algorithmic Differentiation, edited by Shaun Forth, Paul Hovland, Eric Phipps, Jean Utke, and Andrea Walther, 297–307. Berlin: Springer. ISBN 978-3-642-30023-3.

2. An Open-Source System Identification Package for Multivariable Processes

3. Arroyo, Javier, Carlo Manna, Fred Spiessens, and Lieve Helsen. 2021. “An OpenAI-Gym Environment for the Building Optimization Testing (BOPTEST) Framework.” In Proceedings of the 17th IBPSA Conference, Bruges, September.IBPSA

4. Arroyo, Javier, Bram van der Heijde, Alfred Spiessens, and Lieve Helsen. 2018. “A Python-Based Toolbox for Model Predictive Control Applied to Buildings.” In 5th International High Performance Building Conference.Purdue Conferences, West Lafayette, IN, United States

5. ASHRAE. 2018

Cited by 12 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. Building simulation in adaptive training of machine learning models;Automation in Construction;2024-09

2. A portable application framework for energy management and information systems (EMIS) solutions using Brick semantic schema;Energy and Buildings;2024-09

3. Reinforcement Learning Building Control: An Online Approach With Guided Exploration Using Surrogate Models;ASME Journal of Engineering for Sustainable Buildings and Cities;2024-02-01

4. CityLearn v2: An OpenAI Gym environment for demand response control benchmarking in grid-interactive communities;Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation;2023-11-15

5. do-mpc: Towards FAIR nonlinear and robust model predictive control;Control Engineering Practice;2023-11