{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T07:20:16Z","timestamp":1768548016793,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":52,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,1,4]],"date-time":"2024-01-04T00:00:00Z","timestamp":1704326400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,1,4]]},"DOI":"10.1145\/3632410.3632421","type":"proceedings-article","created":{"date-parts":[[2024,1,3]],"date-time":"2024-01-03T18:15:16Z","timestamp":1704305716000},"page":"332-341","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Multi-agent Reinforcement Learning for Joint Control of EV-HVAC System with Vehicle-to-Building Supply"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3724-153X","authenticated-orcid":false,"given":"Ajay","family":"Narayanan","sequence":"first","affiliation":[{"name":"Tata Consultancy Services - Research, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1549-2135","authenticated-orcid":false,"given":"Srinarayana","family":"Nagarathinam","sequence":"additional","affiliation":[{"name":"Tata Consultancy Services - Research, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7861-8711","authenticated-orcid":false,"given":"Prasant","family":"Misra","sequence":"additional","affiliation":[{"name":"Tata Consultancy Services - Research, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2919-3697","authenticated-orcid":false,"given":"Arunchandar","family":"Vasan","sequence":"additional","affiliation":[{"name":"Tata Consultancy Services - Research, India"}]}],"member":"320","published-online":{"date-parts":[[2024,1,4]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"2011. Buildings Energy Data Book."},{"key":"e_1_3_2_1_2_1","unstructured":"2017. ASHRAE Standard 55-2013: Thermal Environmental Conditions for Human Occupancy. ASHRAE."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","unstructured":"A. Abdalrahman and W. Zhuang. 2020. Dynamic Pricing for Differentiated PEV Charging Services Using Deep Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems (2020) 1\u201313. https:\/\/doi.org\/10.1109\/TITS.2020.3025832","DOI":"10.1109\/TITS.2020.3025832"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/1878431.1878433"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","unstructured":"C. Ahn C.-Ting Li and H. Peng. 2011. Optimal decentralized charging control algorithm for electrified vehicles connected to smart grid. Lancet 196 (12 2011) 10369\u201310379. https:\/\/doi.org\/10.1016\/j.jpowsour.2011.06.093","DOI":"10.1016\/j.jpowsour.2011.06.093"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3396851.3397706"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2487166.2487178"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/SIU.2018.8404287"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"E. Barrett and S. Linder. 2015. Autonomous HVAC Control a Reinforcement Learning Approach(ECMLPKDD\u201915). Springer Gewerbestrasse 11 CH-6330 Cham (ZG) CHE 3\u201319.","DOI":"10.1007\/978-3-319-23461-8_1"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2674061.2674072"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2528282.2528301"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2014.7040278"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3084923"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2016.2603536"},{"key":"e_1_3_2_1_15_1","volume-title":"11th REHVA World Congress CLIMA.","author":"Cigler Jiri","year":"2013","unstructured":"Jiri Cigler, Jan Siroky, Milan Korda, and Colin Jones. 2013. On the selection of the most appropriate MPC problem formulation for buildings. In 11th REHVA World Congress CLIMA."},{"key":"e_1_3_2_1_16_1","volume-title":"21st Asia and South Pacific Design Automation Conference (ASP-DAC). 775\u2013780","author":"Cui T.","unstructured":"T. Cui, S. Chen, Y. Wang, Q. Zhu, S. Nazarian, and M. Pedram. 2016. Optimal co-scheduling of HVAC control and battery management for energy-efficient buildings considering state-of-health degradation. In 21st Asia and South Pacific Design Automation Conference (ASP-DAC). 775\u2013780."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.buildenv.2006.07.010"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2011.2159816"},{"key":"e_1_3_2_1_19_1","unstructured":"Pacific Gas and Electric Company. [n. d.]. Learn how peak day pricing can help your bottom line. https:\/\/www.pge.com\/en_US\/small-medium-business\/your-account\/rates-and-rate-options\/peak-day-pricing.page."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.adapen.2021.100062"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3396851.3397758"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.egypro.2015.11.253"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2021.3074437"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3307772.3328313"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CoASE.2015.7294119"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2011.2174059"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3486611.3486649"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3009419"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2014.2356559"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2017.01.043"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3396851.3397694"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","unstructured":"A. Narayanan A. Krishna P. Misra A. Vasan and V. Sarangan. 2022. A Dynamic Pricing System for Electric Vehicle Charging Management Using Reinforcement Learning. IEEE Intelligent Transportation Systems Magazine (2022) 2\u201314. https:\/\/doi.org\/10.1109\/MITS.2022.3198019","DOI":"10.1109\/MITS.2022.3198019"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","unstructured":"A. Narayanan P. Misra A. Ojha V. Bandhu S. Ghosh and A. Vasan. 2022. A Reinforcement Learning Approach for Electric Vehicle Routing Problem with Vehicle-to-Grid Supply. https:\/\/doi.org\/10.48550\/ARXIV.2204.05545","DOI":"10.48550\/ARXIV.2204.05545"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3570991.3571049"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/SMARTCOMP.2019.00060"},{"key":"e_1_3_2_1_36_1","unstructured":"Shanti Pless Amy Allen Lissa Myers David Goldwasser Andrew Meintz Ben Polly and Stephen Frank. 2020. Integrating Electric Vehicle Charging Infrastructure into Commercial Buildings and Mixed-Use Communities: Design Modeling and Control Optimization Opportunities - Preprint. In ACEEE Buildings Summer Study. 21\u201330."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2019.2920320"},{"key":"e_1_3_2_1_38_1","volume-title":"Proximal Policy Optimization Algorithms. CoRR abs\/1707.06347","author":"Schulman John","year":"2017","unstructured":"John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov. 2017. Proximal Policy Optimization Algorithms. CoRR abs\/1707.06347 (2017). http:\/\/arxiv.org\/abs\/1707.06347"},{"key":"e_1_3_2_1_39_1","unstructured":"Seimens. [n. d.]. Integrating eMobility into Smart Buildings. https:\/\/new.siemens.com\/global\/en\/products\/energy\/medium-voltage\/solutions\/emobility\/smart-building-integration.html."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/SmartGridComm.2011.6102330"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2015.2415411"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2017.04.116"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.buildenv.2019.03.038"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2015.2393059"},{"key":"e_1_3_2_1_45_1","volume-title":"Energy efficiency in the building sector: An emerging economies","author":"Voita T","unstructured":"T Voita. 2014. Energy efficiency in the building sector: An emerging economies\u2019 perspective. In ACEEE Summer Study on Energy Efficiency in Buildings. 10\u2013341."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2016.2617314"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2016.2518628"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3061639.3062224"},{"key":"e_1_3_2_1_49_1","volume-title":"2014 IEEE\/ACM International Conference on Computer-Aided Design (ICCAD). 191\u2013196","author":"Wei T.","unstructured":"T. Wei, Q. Zhu, and M. Maasoumy. 2014. Co-scheduling of HVAC control, EV charging and battery usage for building energy efficiency. In 2014 IEEE\/ACM International Conference on Computer-Aided Design (ICCAD). 191\u2013196."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/PESGM.2016.7741266"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449934"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2019.07.029"}],"event":{"name":"CODS-COMAD 2024: 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)","location":"Bangalore India","acronym":"CODS-COMAD 2024"},"container-title":["Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3632410.3632421","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3632410.3632421","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T13:36:11Z","timestamp":1755869771000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3632410.3632421"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,4]]},"references-count":52,"alternative-id":["10.1145\/3632410.3632421","10.1145\/3632410"],"URL":"https:\/\/doi.org\/10.1145\/3632410.3632421","relation":{},"subject":[],"published":{"date-parts":[[2024,1,4]]},"assertion":[{"value":"2024-01-04","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}