{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T13:08:32Z","timestamp":1768482512472,"version":"3.49.0"},"reference-count":30,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,3,18]],"date-time":"2021-03-18T00:00:00Z","timestamp":1616025600000},"content-version":"vor","delay-in-days":76,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100011501","name":"Qinghai Provincial Department of Science and Technology","doi-asserted-by":"publisher","award":["2018-GX-A6"],"award-info":[{"award-number":["2018-GX-A6"]}],"id":[{"id":"10.13039\/501100011501","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Wireless Communications and Mobile Computing"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>Aiming at the economic benefits, load fluctuations, and carbon emissions of the microgrid (MG) group control, a method for controlling the MG group of power distribution Internet of Things (IoT) based on deep learning is proposed. Firstly, based on the cloud edge collaborative power distribution IoT architecture, combined with distributed generation, electric vehicles (EV), and load characteristics, the MG system model in the power distribution IoT is established. Then, a deep learning algorithm is used to train the features of the data model on the edge side. Finally, the group control strategy is adopted in the power distribution cloud platform to reasonably regulate the coordinated output of multiple energy sources, adjust the load state, and realize the economic operation of the power grid. Based on the MATLAB platform, a group model of MG is built and simulated. The results show the effectiveness of the proposed control method. Compared with other methods, the proposed control method has higher income and minimum carbon emission and realizes the economic and environmental protection system operation.<\/jats:p>","DOI":"10.1155\/2021\/6635638","type":"journal-article","created":{"date-parts":[[2021,3,18]],"date-time":"2021-03-18T20:50:09Z","timestamp":1616100609000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Microgrid Group Control Method Based on Deep Learning under Cloud Edge Collaboration"],"prefix":"10.1155","volume":"2021","author":[{"given":"Yazhe","family":"Mao","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6865-8621","authenticated-orcid":false,"given":"Baina","family":"He","sequence":"additional","affiliation":[]},{"given":"Deshun","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Renzhuo","family":"Jiang","sequence":"additional","affiliation":[]},{"given":"Yuyang","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Xingmin","family":"He","sequence":"additional","affiliation":[]},{"given":"Jingru","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Yanchen","family":"Dong","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,3,18]]},"reference":[{"key":"e_1_2_9_1_2","first-page":"1","article-title":"Review on the research of flexible and safe operation of renewable energy microgrids using energy storage systems","volume":"37","author":"Chang L.","year":"2019","journal-title":"Proceedings of the CSEE"},{"key":"e_1_2_9_2_2","first-page":"109","article-title":"Smart home appliance control strategy considering user behavior uncertainty","volume":"46","author":"Yi S.","year":"2018","journal-title":"Power System Protection and Control"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-rpg.2019.0536"},{"key":"e_1_2_9_4_2","first-page":"186","article-title":"Energy management system for smart home","volume":"28","author":"Daxing L.","year":"2016","journal-title":"Proceedings of the CSU-EPSA"},{"key":"e_1_2_9_5_2","first-page":"122","article-title":"Optimal energy management for industrial microgrids with high penetration renewables","volume":"2","author":"Han L.","year":"2017","journal-title":"Protection and Control of Modern Power Systems"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2859821"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1007\/s40565-017-0323-y"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2018.2823641"},{"key":"e_1_2_9_9_2","first-page":"18","article-title":"Optimal scheduling algorithm for home energy management system in smart grid environment","volume":"44","author":"Yanyu Z.","year":"2016","journal-title":"Power System Protection and Control"},{"key":"e_1_2_9_10_2","first-page":"76","article-title":"Hierarchical and optimized operation strategy of active distribution network with microgrid","volume":"56","author":"Lei L.","year":"2019","journal-title":"Electrical Measurement & Instrumentation"},{"key":"e_1_2_9_11_2","first-page":"34","article-title":"On microgrid interconnection research based on demand side response","volume":"56","author":"Qiaolai Z.","year":"2019","journal-title":"Electrical Measurement & Instrumentation"},{"key":"e_1_2_9_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2016.10.113"},{"key":"e_1_2_9_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2015.01.057"},{"key":"e_1_2_9_14_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41560-017-0074-z"},{"key":"e_1_2_9_15_2","first-page":"2917","article-title":"Resident demand-side response control strategy considering user satisfaction in the context of smart grid","volume":"40","author":"Zeng M.","year":"2016","journal-title":"Power System Technology"},{"key":"e_1_2_9_16_2","first-page":"41","article-title":"Load priority control of household microgrid based on time-of-use electricity price and demand response","volume":"55","author":"Feng H.","year":"2018","journal-title":"Electrical Measurement & Instrumentation"},{"key":"e_1_2_9_17_2","first-page":"836","article-title":"Research on the smart grid data management technology framework from the perspective of block alliance chain","volume":"40","author":"Jindong C.","year":"2020","journal-title":"Chinese Journal of Electrical Engineering"},{"key":"e_1_2_9_18_2","first-page":"3732","article-title":"Coordinated control strategy research of micro-grid including distributed generations and electric vehicles","volume":"40","author":"Zhao X. 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