{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T15:31:00Z","timestamp":1759937460411,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,11,17]],"date-time":"2021-11-17T00:00:00Z","timestamp":1637107200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Department of Energy","award":["DE-EE0009150"],"award-info":[{"award-number":["DE-EE0009150"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,11,17]]},"DOI":"10.1145\/3486611.3492412","type":"proceedings-article","created":{"date-parts":[[2021,11,18]],"date-time":"2021-11-18T01:24:25Z","timestamp":1637198665000},"page":"276-280","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Containerized framework for building control performance comparisons"],"prefix":"10.1145","author":[{"given":"Yangyang","family":"Fu","sequence":"first","affiliation":[{"name":"Texas A&M University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shichao","family":"Xu","sequence":"additional","affiliation":[{"name":"Northwestern University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"Zhu","sequence":"additional","affiliation":[{"name":"Northwestern University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zheng","family":"O'Neill","sequence":"additional","affiliation":[{"name":"Texas A&M University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,11,17]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/MS.2015.62"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12532-018-0139-4"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.3384\/ecp11063105"},{"key":"e_1_3_2_1_4_1","unstructured":"David Blum Filip Jorissen Sen Huang Yan Chen Javier Arroyo Kyle Benne Yanfei Li Valentin Gavan Lisa Rivalin Lieve Helsen etal 2019. Prototyping the BOPTEST framework for simulation-based testing of advanced control strategies in buildings.  David Blum Filip Jorissen Sen Huang Yan Chen Javier Arroyo Kyle Benne Yanfei Li Valentin Gavan Lisa Rivalin Lieve Helsen et al. 2019. Prototyping the BOPTEST framework for simulation-based testing of advanced control strategies in buildings."},{"key":"e_1_3_2_1_5_1","volume-title":"Openai gym. arXiv preprint arXiv:1606.01540","author":"Brockman Greg","year":"2016","unstructured":"Greg Brockman , Vicki Cheung , Ludwig Pettersson , Jonas Schneider , John Schulman , Jie Tang , and Wojciech Zaremba . 2016. Openai gym. arXiv preprint arXiv:1606.01540 ( 2016 ). Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, and Wojciech Zaremba. 2016. Openai gym. arXiv preprint arXiv:1606.01540 (2016)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2019.2932963"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2013.05.081"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Drury B Crawley Linda K Lawrie Frederick C Winkelmann Walter F Buhl Y Joe Huang Curtis O Pedersen Richard K Strand Richard J Liesen Daniel E Fisher Michael J Witte etal 2001. EnergyPlus: creating a new-generation building energy simulation program. Energy and buildings 33 4 (2001) 319--331.  Drury B Crawley Linda K Lawrie Frederick C Winkelmann Walter F Buhl Y Joe Huang Curtis O Pedersen Richard K Strand Richard J Liesen Daniel E Fisher Michael J Witte et al. 2001. EnergyPlus: creating a new-generation building energy simulation program. Energy and buildings 33 4 (2001) 319--331.","DOI":"10.1016\/S0378-7788(00)00114-6"},{"key":"e_1_3_2_1_9_1","unstructured":"US DOE. 2015. Chapter 5: Increasing Efficiency of Building Systems and Technologies. Quadrennial Technology Review: An Assessment of Energy Technologies and Research Opportunities (2015) 143--181.  US DOE. 2015. Chapter 5: Increasing Efficiency of Building Systems and Technologies. Quadrennial Technology Review: An Assessment of Energy Technologies and Research Opportunities (2015) 143--181."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2597002"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2021.111263"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1080\/23744731.2015.1061888"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.buildenv.2015.04.033"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3365984.3365985"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0967-0661(98)00047-1"},{"key":"e_1_3_2_1_16_1","volume-title":"Clima-RHEVA World Congress.","author":"Oldewurtel Frauke","year":"2010","unstructured":"Frauke Oldewurtel , Dimitrios Gyalistras , Markus Gwerder , Colin Jones , Alessandra Parisio , Vanessa Stauch , Beat Lehmann , and Manfred Morari . 2010 . Increasing energy efficiency in building climate control using weather forecasts and model predictive control . In Clima-RHEVA World Congress. Frauke Oldewurtel, Dimitrios Gyalistras, Markus Gwerder, Colin Jones, Alessandra Parisio, Vanessa Stauch, Beat Lehmann, and Manfred Morari. 2010. Increasing energy efficiency in building climate control using weather forecasts and model predictive control. In Clima-RHEVA World Congress."},{"key":"e_1_3_2_1_17_1","volume-title":"Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems 32","author":"Paszke Adam","year":"2019","unstructured":"Adam Paszke , Sam Gross , Francisco Massa , Adam Lerer , James Bradbury , Gregory Chanan , Trevor Killeen , Zeming Lin , Natalia Gimelshein , Luca Antiga , 2019 . Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems 32 (2019), 8026--8037. Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al. 2019. Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems 32 (2019), 8026--8037."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2020.110490"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2015.2415411"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2012.6386109"},{"volume-title":"Comparison of MPC formulations for building control under commercial time-of-use tariffs. In 2019 IEEE Milan PowerTech","author":"Cutsem Olivier Van","key":"e_1_3_2_1_21_1","unstructured":"Olivier Van Cutsem , Maher Kayal , David Blum , and Marco Pritoni . 2019. Comparison of MPC formulations for building control under commercial time-of-use tariffs. In 2019 IEEE Milan PowerTech . IEEE , 1--6. Olivier Van Cutsem, Maher Kayal, David Blum, and Marco Pritoni. 2019. Comparison of MPC formulations for building control under commercial time-of-use tariffs. In 2019 IEEE Milan PowerTech. IEEE, 1--6."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2628897"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3061639.3062224"},{"key":"e_1_3_2_1_24_1","volume-title":"Tianshou: a Highly Modularized Deep Reinforcement Learning Library. arXiv preprint arXiv:2107.14171","author":"Weng Jiayi","year":"2021","unstructured":"Jiayi Weng , Huayu Chen , Dong Yan , Kaichao You , Alexis Duburcq , Minghao Zhang , Hang Su , and Jun Zhu . 2021. Tianshou: a Highly Modularized Deep Reinforcement Learning Library. arXiv preprint arXiv:2107.14171 ( 2021 ). Jiayi Weng, Huayu Chen, Dong Yan, Kaichao You, Alexis Duburcq, Minghao Zhang, Hang Su, and Jun Zhu. 2021. Tianshou: a Highly Modularized Deep Reinforcement Learning Library. arXiv preprint arXiv:2107.14171 (2021)."},{"key":"e_1_3_2_1_25_1","volume-title":"Software Architecture and Implementation of Modelica Buildings Library Coupling for Spawn of EnergyPlus. In Modelica Conferences. 325--334","author":"Wetter Michael","year":"2021","unstructured":"Michael Wetter , Kyle Benne , and Baptiste Ravache . 2021 . Software Architecture and Implementation of Modelica Buildings Library Coupling for Spawn of EnergyPlus. In Modelica Conferences. 325--334 . Michael Wetter, Kyle Benne, and Baptiste Ravache. 2021. Software Architecture and Implementation of Modelica Buildings Library Coupling for Spawn of EnergyPlus. In Modelica Conferences. 325--334."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1080\/19401493.2013.765506"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3486611.3486644"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3408308.3427617"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2019.07.029"}],"event":{"name":"BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","sponsor":["SIGEnergy ACM Special Interest Group on Energy Systems and Informatics"],"location":"Coimbra Portugal","acronym":"BuildSys '21"},"container-title":["Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3486611.3492412","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3486611.3492412","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3486611.3492412","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:12:06Z","timestamp":1750191126000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3486611.3492412"}},"subtitle":["model predictive control vs deep reinforcement learning control"],"short-title":[],"issued":{"date-parts":[[2021,11,17]]},"references-count":29,"alternative-id":["10.1145\/3486611.3492412","10.1145\/3486611"],"URL":"https:\/\/doi.org\/10.1145\/3486611.3492412","relation":{},"subject":[],"published":{"date-parts":[[2021,11,17]]},"assertion":[{"value":"2021-11-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}