{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:19:01Z","timestamp":1750220341255,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Department for International Development"},{"name":"The Department for Business, Energy and Industrial Strategy","award":["7454460"],"award-info":[{"award-number":["7454460"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,12,15]]},"DOI":"10.1145\/3508072.3508198","type":"proceedings-article","created":{"date-parts":[[2022,4,13]],"date-time":"2022-04-13T17:01:56Z","timestamp":1649869316000},"page":"633-640","update-policy":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Quantifying Self-consumption and Flexibility Provision through Battery Storage, a Deep Reinforcement Learning Approach"],"prefix":"10.1145","author":[{"given":"Yakubu","family":"Tsado","sequence":"first","affiliation":[{"name":"Department of Engineering, Manchester Metropolitan University, UK"}]},{"given":"Olamide","family":"Jogunola","sequence":"additional","affiliation":[{"name":"Department of Engineering, Manchester Metropolitan University, UK"}]},{"given":"Raheel","family":"Nawaz","sequence":"additional","affiliation":[{"name":"Business School, Manchester Metropolitan University, UK"}]},{"given":"Guan","family":"Gui","sequence":"additional","affiliation":[{"name":"Nanjing University of Posts and Telecommunications, China"}]},{"given":"Bamidele","family":"Adebisi","sequence":"additional","affiliation":[{"name":"Department of Engineering, Manchester Metropolitan University, UK"}]}],"member":"320","published-online":{"date-parts":[[2022,4,13]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_3_2_1_1_1","DOI":"10.1109\/ACCESS.2018.2876652"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_2_1","DOI":"10.1109\/TSMCB.2008.2007630"},{"unstructured":"Google. 2020. Welcome to Colaboratory. Available at https:\/\/linproxy.fan.workers.dev:443\/https\/colab.research.google.com\/ Accessed: 2020-11-16.  Google. 2020. Welcome to Colaboratory. Available at https:\/\/linproxy.fan.workers.dev:443\/https\/colab.research.google.com\/ Accessed: 2020-11-16.","key":"e_1_3_2_1_3_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_4_1","DOI":"10.1016\/j.ifacol.2017.08.747"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_5_1","DOI":"10.1016\/j.est.2018.12.017"},{"key":"e_1_3_2_1_6_1","first-page":"8","article-title":"Accelerating Reinforcement Learning with Prioritized Experience Replay for Maze Game","volume":"3","author":"Hu Chaoshun","year":"2020","unstructured":"Chaoshun Hu , Mehesh Kuklani , and Paul Panek . 2020 . Accelerating Reinforcement Learning with Prioritized Experience Replay for Maze Game . SMU Data Science Review 3 , 1 (2020), 8 . Chaoshun Hu, Mehesh Kuklani, and Paul Panek. 2020. Accelerating Reinforcement Learning with Prioritized Experience Replay for Maze Game. SMU Data Science Review 3, 1 (2020), 8.","journal-title":"SMU Data Science Review"},{"key":"e_1_3_2_1_7_1","volume-title":"Multi-Commodity Optimisation of Peer-to-Peer Energy Trading Resources in Smart Grid. Journal of Modern Power Systems and Clean Energy","author":"Jogunola Olamide","year":"2021","unstructured":"Olamide Jogunola , Bamidele Adebisi , Kelvin Anoh , Augustine Ikpehai , Mohammad Hammoudeh , and Georgina Harris . 2021. Multi-Commodity Optimisation of Peer-to-Peer Energy Trading Resources in Smart Grid. Journal of Modern Power Systems and Clean Energy ( 2021 ), 1\u201313. Olamide Jogunola, Bamidele Adebisi, Kelvin Anoh, Augustine Ikpehai, Mohammad Hammoudeh, and Georgina Harris. 2021. Multi-Commodity Optimisation of Peer-to-Peer Energy Trading Resources in Smart Grid. Journal of Modern Power Systems and Clean Energy (2021), 1\u201313."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_8_1","DOI":"10.1109\/EPEC52095.2021.9621459"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_9_1","DOI":"10.1007\/s42452-019-0432-5"},{"volume-title":"SmartGridComm","author":"Mbuwir V","unstructured":"Brida\u00a0 V Mbuwir , Mahtab Kaffash , and Geert Deconinck . 2018. Battery scheduling in a residential multi-carrier energy system using reinforcement learning . In SmartGridComm . IEEE , Aalborg, Denmark , 1\u20136. Brida\u00a0V Mbuwir, Mahtab Kaffash, and Geert Deconinck. 2018. Battery scheduling in a residential multi-carrier energy system using reinforcement learning. In SmartGridComm. IEEE, Aalborg, Denmark, 1\u20136.","key":"e_1_3_2_1_10_1"},{"volume-title":"ISGT-Europe","author":"Mbuwir V","unstructured":"Brida\u00a0 V Mbuwir , Fred Spiessens , and Geert Deconinck . 2018. Self-learning agent for battery energy management in a residential microgrid . In ISGT-Europe . IEEE, Sarajevo, Bosnia and Herzegovina , 1\u20136. Brida\u00a0V Mbuwir, Fred Spiessens, and Geert Deconinck. 2018. Self-learning agent for battery energy management in a residential microgrid. In ISGT-Europe. IEEE, Sarajevo, Bosnia and Herzegovina, 1\u20136.","key":"e_1_3_2_1_11_1"},{"key":"e_1_3_2_1_12_1","volume-title":"On-line building energy optimization using deep reinforcement learning","author":"Mocanu Elena","year":"2018","unstructured":"Elena Mocanu , Decebal\u00a0Constantin Mocanu , Phuong\u00a0 H Nguyen , Antonio Liotta , Michael\u00a0 E Webber , Madeleine Gibescu , and Johannes\u00a0 G Slootweg . 2018. On-line building energy optimization using deep reinforcement learning . IEEE trans. smart grid 10, 4 ( 2018 ), 3698\u20133708. Elena Mocanu, Decebal\u00a0Constantin Mocanu, Phuong\u00a0H Nguyen, Antonio Liotta, Michael\u00a0E Webber, Madeleine Gibescu, and Johannes\u00a0G Slootweg. 2018. On-line building energy optimization using deep reinforcement learning. IEEE trans. smart grid 10, 4 (2018), 3698\u20133708."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_13_1","DOI":"10.1016\/j.energy.2014.02.085"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_14_1","DOI":"10.1016\/j.apenergy.2016.08.077"},{"volume-title":"Electricity consumption in the United Kingdom (UK) from 1970 to","year":"2018","unstructured":"Statista. 2020. Electricity consumption in the United Kingdom (UK) from 1970 to 2018 , by final users. https:\/\/linproxy.fan.workers.dev:443\/https\/www.statista.com\/statistics\/550592\/uk-electricity-consumption-by-final-users\/ Accessed : 2020-07-23. Statista. 2020. Electricity consumption in the United Kingdom (UK) from 1970 to 2018, by final users. https:\/\/linproxy.fan.workers.dev:443\/https\/www.statista.com\/statistics\/550592\/uk-electricity-consumption-by-final-users\/ Accessed: 2020-07-23.","key":"e_1_3_2_1_15_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_16_1","DOI":"10.1016\/j.comcom.2015.05.015"},{"doi-asserted-by":"crossref","unstructured":"Kotub Uddin Rebecca Gough Jonathan Radcliffe James Marco and Paul Jennings. 2017. Techno-economic analysis of the viability of residential photovoltaic systems using lithium-ion batteries for energy storage in the United Kingdom. Applied energy 206(2017) 12\u201321.  Kotub Uddin Rebecca Gough Jonathan Radcliffe James Marco and Paul Jennings. 2017. Techno-economic analysis of the viability of residential photovoltaic systems using lithium-ion batteries for energy storage in the United Kingdom. Applied energy 206(2017) 12\u201321.","key":"e_1_3_2_1_17_1","DOI":"10.1016\/j.apenergy.2017.08.170"},{"unstructured":"Manchester\u00a0Metropolitan University. 2009. MMU complete solar panel project. Available at https:\/\/linproxy.fan.workers.dev:443\/https\/www.mmu.ac.uk\/news-and-events\/news\/story\/?id=1098 Accessed: 2020-09-16.  Manchester\u00a0Metropolitan University. 2009. MMU complete solar panel project. Available at https:\/\/linproxy.fan.workers.dev:443\/https\/www.mmu.ac.uk\/news-and-events\/news\/story\/?id=1098 Accessed: 2020-09-16.","key":"e_1_3_2_1_18_1"},{"unstructured":"Manchester\u00a0Metropolitan University. 2020. Low-carbon smart city project Triangulum reaches successful conclusion. Available at https:\/\/linproxy.fan.workers.dev:443\/https\/www.mmu.ac.uk\/business\/news-and-events\/story\/index.php?id=11043 Accessed: 2020-09-16.  Manchester\u00a0Metropolitan University. 2020. Low-carbon smart city project Triangulum reaches successful conclusion. Available at https:\/\/linproxy.fan.workers.dev:443\/https\/www.mmu.ac.uk\/business\/news-and-events\/story\/index.php?id=11043 Accessed: 2020-09-16.","key":"e_1_3_2_1_19_1"},{"volume-title":"Residential energy management with deep reinforcement learning","author":"Wan Zhiqiang","unstructured":"Zhiqiang Wan , Hepeng Li , and Haibo He. 2018. Residential energy management with deep reinforcement learning . In IJCNN. IEEE, Rio de Janeiro, Brazi , 1\u20137. Zhiqiang Wan, Hepeng Li, and Haibo He. 2018. Residential energy management with deep reinforcement learning. In IJCNN. IEEE, Rio de Janeiro, Brazi, 1\u20137.","key":"e_1_3_2_1_20_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_21_1","DOI":"10.1016\/j.apenergy.2021.116722"},{"doi-asserted-by":"crossref","unstructured":"Jingda Wu Hongwen He Jiankun Peng Yuecheng Li and Zhanjiang Li. 2018. Continuous reinforcement learning of energy management with deep Q network for a power split hybrid electric bus. Applied energy 222(2018) 799\u2013811.  Jingda Wu Hongwen He Jiankun Peng Yuecheng Li and Zhanjiang Li. 2018. Continuous reinforcement learning of energy management with deep Q network for a power split hybrid electric bus. Applied energy 222(2018) 799\u2013811.","key":"e_1_3_2_1_22_1","DOI":"10.1016\/j.apenergy.2018.03.104"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_23_1","DOI":"10.35833\/MPCE.2020.000240"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_24_1","DOI":"10.35833\/MPCE.2020.000522"}],"event":{"acronym":"ICFNDS 2021","name":"ICFNDS 2021: The 5th International Conference on Future Networks & Distributed Systems","location":"Dubai United Arab Emirates"},"container-title":["The 5th International Conference on Future Networks & Distributed Systems"],"original-title":[],"link":[{"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/dl.acm.org\/doi\/10.1145\/3508072.3508198","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/dl.acm.org\/doi\/pdf\/10.1145\/3508072.3508198","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:12:30Z","timestamp":1750191150000},"score":1,"resource":{"primary":{"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/dl.acm.org\/doi\/10.1145\/3508072.3508198"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,15]]},"references-count":24,"alternative-id":["10.1145\/3508072.3508198","10.1145\/3508072"],"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.1145\/3508072.3508198","relation":{},"subject":[],"published":{"date-parts":[[2021,12,15]]},"assertion":[{"value":"2022-04-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}