{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T16:19:58Z","timestamp":1762273198244,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T00:00:00Z","timestamp":1697846400000},"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":[[2023,10,21]]},"DOI":"10.1145\/3583780.3614653","type":"proceedings-article","created":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T07:45:42Z","timestamp":1697874342000},"page":"4646-4652","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8562-3327","authenticated-orcid":false,"given":"Wei","family":"Jiang","sequence":"first","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2363-1123","authenticated-orcid":false,"given":"Zhongkai","family":"Yi","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9611-5528","authenticated-orcid":false,"given":"Li","family":"Wang","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1675-7572","authenticated-orcid":false,"given":"Hanwei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3768-9107","authenticated-orcid":false,"given":"Jihai","family":"Zhang","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5341-378X","authenticated-orcid":false,"given":"Fangquan","family":"Lin","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1341-9391","authenticated-orcid":false,"given":"Cheng","family":"Yang","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]}],"member":"320","published-online":{"date-parts":[[2023,10,21]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1115\/1.4007390"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2021.118346"},{"volume-title":"Adaptive control","author":"\u00c5str\u00f6m Karl J","key":"e_1_3_2_2_3_1","unstructured":"Karl J \u00c5str\u00f6m and Bj\u00f6rn Wittenmark . 2013. Adaptive control . Courier Corporation . Karl J \u00c5str\u00f6m and Bj\u00f6rn Wittenmark. 2013. Adaptive control. Courier Corporation."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952603"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2020.3000182"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2020.106844"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2018.8618694"},{"volume-title":"Model predictive control","author":"Camacho Eduardo F","key":"e_1_3_2_2_8_1","unstructured":"Eduardo F Camacho and Carlos Bordons Alba . 2013. Model predictive control . Springer science & business media. Eduardo F Camacho and Carlos Bordons Alba. 2013. Model predictive control. Springer science & business media."},{"key":"e_1_3_2_2_9_1","volume-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555","author":"Chung Junyoung","year":"2014","unstructured":"Junyoung Chung , Caglar Gulcehre , KyungHyun Cho , and Yoshua Bengio . 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 ( 2014 ). Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 (2014)."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.arcontrol.2020.09.001"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.2020.3922"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2008.2007630"},{"key":"e_1_3_2_2_13_1","volume-title":"A survey on concept drift adaptation. ACM computing surveys (CSUR)","author":"Gama Jo","year":"2014","unstructured":"Jo ao Gama , Indr.e v Z liobait.e, Albert Bifet , Mykola Pechenizkiy , and Abdelhamid Bouchachia . 2014. A survey on concept drift adaptation. ACM computing surveys (CSUR) , Vol. 46 , 4 ( 2014 ), 1--37. Jo ao Gama, Indr.e vZ liobait.e, Albert Bifet, Mykola Pechenizkiy, and Abdelhamid Bouchachia. 2014. A survey on concept drift adaptation. ACM computing surveys (CSUR), Vol. 46, 4 (2014), 1--37."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.segan.2021.100448"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2017.10.026"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2013.6400446"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-control-090419-075625"},{"volume-title":"Robust adaptive control","author":"Ioannou Petros A","key":"e_1_3_2_2_18_1","unstructured":"Petros A Ioannou and Jing Sun . 2012. Robust adaptive control . Courier Corporation . Petros A Ioannou and Jing Sun. 2012. Robust adaptive control. Courier Corporation."},{"volume-title":"Data predictive control using regression trees and ensemble learning. In 2017 IEEE 56th annual conference on decision and control (CDC)","author":"Jain Achin","key":"e_1_3_2_2_19_1","unstructured":"Achin Jain , Francesco Smarra , and Rahul Mangharam . 2017. Data predictive control using regression trees and ensemble learning. In 2017 IEEE 56th annual conference on decision and control (CDC) . IEEE , 4446--4451. Achin Jain, Francesco Smarra, and Rahul Mangharam. 2017. Data predictive control using regression trees and ensemble learning. In 2017 IEEE 56th annual conference on decision and control (CDC). IEEE, 4446--4451."},{"volume-title":"Proceedings of the 1st International Workshop on Reinforcement Learning for Energy Management in Buildings & Cities","author":"Kathirgamanathan Anjukan","key":"e_1_3_2_2_20_1","unstructured":"Anjukan Kathirgamanathan , Kacper Twardowski , Eleni Mangina , and Donal P. Finn . 2020. A Centralised Soft Actor Critic Deep Reinforcement Learning Approach to District Demand Side Management through CityLearn . In Proceedings of the 1st International Workshop on Reinforcement Learning for Energy Management in Buildings & Cities ( Virtual Event, Japan) (RLEM'20). Association for Computing Machinery, New York, NY, USA, 11--14. https:\/\/doi.org\/10.1145\/3427773.3427869 10.1145\/3427773.3427869 Anjukan Kathirgamanathan, Kacper Twardowski, Eleni Mangina, and Donal P. Finn. 2020. A Centralised Soft Actor Critic Deep Reinforcement Learning Approach to District Demand Side Management through CityLearn. In Proceedings of the 1st International Workshop on Reinforcement Learning for Energy Management in Buildings & Cities (Virtual Event, Japan) (RLEM'20). Association for Computing Machinery, New York, NY, USA, 11--14. https:\/\/doi.org\/10.1145\/3427773.3427869"},{"key":"e_1_3_2_2_21_1","volume-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems","author":"Ke Guolin","year":"2017","unstructured":"Guolin Ke , Qi Meng , Thomas Finley , Taifeng Wang , Wei Chen , Weidong Ma , Qiwei Ye , and Tie-Yan Liu . 2017 . LightGBM: A Highly Efficient Gradient Boosting Decision Tree . In Proceedings of the 31st International Conference on Neural Information Processing Systems ( Long Beach, California, USA) (NIPS'17). Curran Associates Inc., Red Hook, NY, USA, 3149--3157. Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, and Tie-Yan Liu. 2017. LightGBM: A Highly Efficient Gradient Boosting Decision Tree. In Proceedings of the 31st International Conference on Neural Information Processing Systems (Long Beach, California, USA) (NIPS'17). Curran Associates Inc., Red Hook, NY, USA, 3149--3157."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2020.115707"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2008.2008349"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/IWIES.2014.6957043"},{"key":"e_1_3_2_2_25_1","volume-title":"Model predictive control under forecast uncertainty for optimal operation of buildings with integrated solar systems. Solar energy","author":"Liu Xiaoqi","year":"2018","unstructured":"Xiaoqi Liu , Parth Paritosh , Nimish M Awalgaonkar , Ilias Bilionis , and Panagiota Karava . 2018. Model predictive control under forecast uncertainty for optimal operation of buildings with integrated solar systems. Solar energy , Vol. 171 ( 2018 ), 953--970. Xiaoqi Liu, Parth Paritosh, Nimish M Awalgaonkar, Ilias Bilionis, and Panagiota Karava. 2018. Model predictive control under forecast uncertainty for optimal operation of buildings with integrated solar systems. Solar energy, Vol. 171 (2018), 953--970."},{"key":"e_1_3_2_2_26_1","volume-title":"Hendrik Bindner, and Geert Deconinck.","author":"MacDougall Pamela","year":"2016","unstructured":"Pamela MacDougall , Anna Magdalena Kosek , Hendrik Bindner, and Geert Deconinck. 2016 . Applying machine learning techniques for forecasting flexibility of virtual power plants. In 2016 IEEE electrical power and energy conference (EPEC). IEEE , 1--6. Pamela MacDougall, Anna Magdalena Kosek, Hendrik Bindner, and Geert Deconinck. 2016. Applying machine learning techniques for forecasting flexibility of virtual power plants. In 2016 IEEE electrical power and energy conference (EPEC). IEEE, 1--6."},{"key":"e_1_3_2_2_27_1","unstructured":"MindOpt. 2022. MindOpt Studio. https:\/\/opt.aliyun.com  MindOpt. 2022. MindOpt Studio. https:\/\/opt.aliyun.com"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.08.017"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2016.09.025"},{"key":"e_1_3_2_2_30_1","volume-title":"The CityLearn Challenge","author":"Nweye Kingsley","year":"2022","unstructured":"Kingsley Nweye , Sankaranarayanan Siva , and Gyorgy Zoltan Nagy . 2023. The CityLearn Challenge 2022 . https:\/\/doi.org\/10.18738\/T8\/0YLJ6Q 10.18738\/T8 Kingsley Nweye, Sankaranarayanan Siva, and Gyorgy Zoltan Nagy. 2023. The CityLearn Challenge 2022. https:\/\/doi.org\/10.18738\/T8\/0YLJ6Q"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2013.2295514"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207179.2017.1323351"},{"key":"e_1_3_2_2_33_1","volume-title":"Tutorial overview of model predictive control","author":"Rawlings James B","year":"2000","unstructured":"James B Rawlings . 2000. Tutorial overview of model predictive control . IEEE control systems magazine, Vol. 20 , 3 ( 2000 ), 38--52. James B Rawlings. 2000. Tutorial overview of model predictive control. IEEE control systems magazine, Vol. 20, 3 (2000), 38--52."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2018.12.013"},{"key":"e_1_3_2_2_35_1","volume-title":"Dario Ambrosini, Alessandro D'Innocenzo, and Rahul Mangharam.","author":"Smarra Francesco","year":"2018","unstructured":"Francesco Smarra , Achin Jain , Tullio De Rubeis , Dario Ambrosini, Alessandro D'Innocenzo, and Rahul Mangharam. 2018 . Data-driven model predictive control using random forests for building energy optimization and climate control. Applied energy, Vol. 226 (2018), 1252--1272. Francesco Smarra, Achin Jain, Tullio De Rubeis, Dario Ambrosini, Alessandro D'Innocenzo, and Rahul Mangharam. 2018. Data-driven model predictive control using random forests for building energy optimization and climate control. Applied energy, Vol. 226 (2018), 1252--1272."},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.04.044"},{"key":"e_1_3_2_2_37_1","volume-title":"Sukruedee Sukchai, S Yamuna, and D Venkatesh.","author":"Sultana W Razia","year":"2017","unstructured":"W Razia Sultana , Sarat Kumar Sahoo , Sukruedee Sukchai, S Yamuna, and D Venkatesh. 2017 . A review on state of art development of model predictive control for renewable energy applications. Renewable and sustainable energy reviews, Vol. 76 (2017), 391--406. W Razia Sultana, Sarat Kumar Sahoo, Sukruedee Sukchai, S Yamuna, and D Venkatesh. 2017. A review on state of art development of model predictive control for renewable energy applications. Renewable and sustainable energy reviews, Vol. 76 (2017), 391--406."},{"key":"e_1_3_2_2_38_1","volume-title":"An adaptive load dispatching and forecasting strategy for a virtual power plant including renewable energy conversion units. Applied energy","author":"Tascikaraoglu Akin","year":"2014","unstructured":"Akin Tascikaraoglu , Ozan Erdinc , Mehmet Uzunoglu , and Arif Karakas . 2014. An adaptive load dispatching and forecasting strategy for a virtual power plant including renewable energy conversion units. Applied energy , Vol. 119 ( 2014 ), 445--453. Akin Tascikaraoglu, Ozan Erdinc, Mehmet Uzunoglu, and Arif Karakas. 2014. An adaptive load dispatching and forecasting strategy for a virtual power plant including renewable energy conversion units. Applied energy, Vol. 119 (2014), 445--453."},{"key":"e_1_3_2_2_39_1","volume-title":"Proceedings, Part I 15","author":"Varelas Konstantinos","year":"2018","unstructured":"Konstantinos Varelas , Anne Auger , Dimo Brockhoff , Nikolaus Hansen , Ouassim Ait ElHara , Yann Semet , Rami Kassab , and Fr\u00e9d\u00e9ric Barbaresco . 2018 . A comparative study of large-scale variants of CMA-ES. In Parallel Problem Solving from Nature--PPSN XV: 15th International Conference, Coimbra, Portugal, September 8--12, 2018 , Proceedings, Part I 15 . Springer, 3--15. Konstantinos Varelas, Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Ouassim Ait ElHara, Yann Semet, Rami Kassab, and Fr\u00e9d\u00e9ric Barbaresco. 2018. A comparative study of large-scale variants of CMA-ES. In Parallel Problem Solving from Nature--PPSN XV: 15th International Conference, Coimbra, Portugal, September 8--12, 2018, Proceedings, Part I 15. Springer, 3--15."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3360322.3360998"},{"key":"e_1_3_2_2_41_1","volume-title":"Adaptive Control for Parallel-Connected Energy Storage Converters with Line Parameter Mismatch. Frontiers in Energy Research","author":"Wang Cheng","year":"2021","unstructured":"Cheng Wang , Hongting Hua , He Peng , and Ze Wang . 2021. Adaptive Control for Parallel-Connected Energy Storage Converters with Line Parameter Mismatch. Frontiers in Energy Research ( 2021 ), 599. Cheng Wang, Hongting Hua, He Peng, and Ze Wang. 2021. Adaptive Control for Parallel-Connected Energy Storage Converters with Line Parameter Mismatch. Frontiers in Energy Research (2021), 599."},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2009.2017934"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.23919\/ECC.2018.8550520"},{"key":"e_1_3_2_2_44_1","unstructured":"Chao Yu Akash Velu Eugene Vinitsky Jiaxuan Gao Yu Wang Alexandre Bayen and Yi Wu. 2021. The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games. (2021).  Chao Yu Akash Velu Eugene Vinitsky Jiaxuan Gao Yu Wang Alexandre Bayen and Yi Wu. 2021. The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games. (2021)."},{"key":"e_1_3_2_2_45_1","volume-title":"Uncertainties of virtual power plant: Problems and countermeasures. Applied energy","author":"Yu Songyuan","year":"2019","unstructured":"Songyuan Yu , Fang Fang , Yajuan Liu , and Jizhen Liu . 2019. Uncertainties of virtual power plant: Problems and countermeasures. Applied energy , Vol. 239 ( 2019 ), 454--470. Songyuan Yu, Fang Fang, Yajuan Liu, and Jizhen Liu. 2019. Uncertainties of virtual power plant: Problems and countermeasures. Applied energy, Vol. 239 (2019), 454--470."}],"event":{"name":"CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Birmingham United Kingdom","acronym":"CIKM '23"},"container-title":["Proceedings of the 32nd ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583780.3614653","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3583780.3614653","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:46:30Z","timestamp":1750178790000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583780.3614653"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,21]]},"references-count":45,"alternative-id":["10.1145\/3583780.3614653","10.1145\/3583780"],"URL":"https:\/\/doi.org\/10.1145\/3583780.3614653","relation":{},"subject":[],"published":{"date-parts":[[2023,10,21]]},"assertion":[{"value":"2023-10-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}