{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,30]],"date-time":"2025-08-30T17:00:28Z","timestamp":1756573228655,"version":"3.40.4"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2023,10,2]],"date-time":"2023-10-02T00:00:00Z","timestamp":1696204800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,10,2]],"date-time":"2023-10-02T00:00:00Z","timestamp":1696204800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Mobile Netw Appl"],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1007\/s11036-023-02212-9","type":"journal-article","created":{"date-parts":[[2023,10,2]],"date-time":"2023-10-02T04:01:35Z","timestamp":1696219295000},"page":"1441-1450","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["5G Edge Intelligence-based Refined Power Distribution Monitoring Technology and Application"],"prefix":"10.1007","volume":"29","author":[{"given":"Kehuan","family":"Wen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junhao","family":"Feng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangyong","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Geng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Boyang","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,10,2]]},"reference":[{"issue":"9","key":"2212_CR1","doi-asserted-by":"publisher","first-page":"9575","DOI":"10.1109\/TIE.2021.3114740","volume":"69","author":"J Ma","year":"2022","unstructured":"Ma J, Teng Z, Tang Q, Qiu W, Yang Y, Duan J (2022) Measurement error prediction of power metering equipment using improved local outlier factor and kernel support vector regression. IEEE Trans Ind Electron 69(9):9575\u20139585. https:\/\/doi.org\/10.1109\/TIE.2021.3114740","journal-title":"IEEE Trans Ind Electron"},{"issue":"9","key":"2212_CR2","doi-asserted-by":"publisher","first-page":"5076","DOI":"10.1109\/TII.2019.2898171","volume":"15","author":"Y Gao","year":"2019","unstructured":"Gao Y, Foggo B, Yu N (2019) A physically inspired data-driven model for electricity theft detection with smart meter data. IEEE Trans Ind Inf 15(9):5076\u20135088. https:\/\/doi.org\/10.1109\/TII.2019.2898171","journal-title":"IEEE Trans Ind Inf"},{"issue":"9","key":"2212_CR3","doi-asserted-by":"publisher","first-page":"6677","DOI":"10.1109\/TIM.2020.3002402","volume":"69","author":"Z Nakutis","year":"2020","unstructured":"Nakutis Z, Rinaldi S, Kuzas P, Lukoius R (2020) A method for noninvasive remote monitoring of energy meter error using power consumption profile. IEEE Trans Instrum Meas 69(9):6677\u20136685. https:\/\/doi.org\/10.1109\/TIM.2020.3002402","journal-title":"IEEE Trans Instrum Meas"},{"key":"2212_CR4","doi-asserted-by":"publisher","unstructured":"Yan J, Guo Z, Yuan T, Qi S, Li N (2021) Fault prediction of intelligent electricity meter based on multi-classification machine learning model. In: 2021 IEEE international conference on artificial intelligence and computer applications (ICAICA), pp 293\u2013297. https:\/\/doi.org\/10.1109\/ICAICA52286.2021.9497987","DOI":"10.1109\/ICAICA52286.2021.9497987"},{"key":"2212_CR5","doi-asserted-by":"publisher","unstructured":"Wang J, Ye W, Xue T, Zhu Y, Li K (2022) Intelligent inspection enabling platform for power distribution network based on 5G wireless communication connected unmanned aerial vehicle. In: 2022 5th international conference on energy, electrical and power engineering (CEEPE), pp 574\u2013579 (2022). https:\/\/doi.org\/10.1109\/CEEPE55110.2022.9783287","DOI":"10.1109\/CEEPE55110.2022.9783287"},{"key":"2212_CR6","doi-asserted-by":"publisher","unstructured":"Wang X, Umehira M, Akimoto M, Han B, Zhou H (2022) Green spectrum sharing framework in B5G era by exploiting crowdsensing. IEEE Transactions on Green Communications and Networking, pp 1\u20131. https:\/\/doi.org\/10.1109\/TGCN.2022.3186282","DOI":"10.1109\/TGCN.2022.3186282"},{"issue":"7","key":"2212_CR7","doi-asserted-by":"publisher","first-page":"5468","DOI":"10.1109\/JIOT.2020.3042090","volume":"8","author":"M Tariq","year":"2021","unstructured":"Tariq M, Ali M, Naeem F, Poor HV (2021) Vulnerability assessment of 6G-enabled smart grid cyber-physical systems. IEEE Int Things J 8(7):5468\u20135475. https:\/\/doi.org\/10.1109\/JIOT.2020.3042090","journal-title":"IEEE Int Things J"},{"issue":"6","key":"2212_CR8","doi-asserted-by":"publisher","first-page":"1684","DOI":"10.17775\/CSEEJPES.2020.05910","volume":"8","author":"B Wei","year":"2022","unstructured":"Wei B, Xie Z, Liu Y, Wen K, Deng F, Zhang P (2022) Online monitoring method for insulator self-explosion based on edge computing and deep learning. CSEE J Power Energy Syst 8(6):1684\u20131696. https:\/\/doi.org\/10.17775\/CSEEJPES.2020.05910","journal-title":"CSEE J Power Energy Syst"},{"key":"2212_CR9","doi-asserted-by":"publisher","unstructured":"Zhang M, Yang J, Liu B, Ma X, Zhao B, Ou W (2021) Research on on-line monitoring technology of transmission line galloping based on edge computing. In: 2021 IEEE 4th international conference on electronics technology (ICET), pp 467\u2013471. https:\/\/doi.org\/10.1109\/ICET51757.2021.9451043","DOI":"10.1109\/ICET51757.2021.9451043"},{"issue":"5","key":"2212_CR10","doi-asserted-by":"publisher","first-page":"4404","DOI":"10.1109\/TPWRD.2022.3170294","volume":"37","author":"N Peng","year":"2022","unstructured":"Peng N, Liu X, Liang R, Tang Z, Ren X, Hu Y, Li G (2022) Edge computing based fault sensing of the distribution cables based on time-domain analysis of grounding line current signals. IEEE Trans Power Deliv 37(5):4404\u20134417. https:\/\/doi.org\/10.1109\/TPWRD.2022.3170294","journal-title":"IEEE Trans Power Deliv"},{"issue":"7","key":"2212_CR11","doi-asserted-by":"publisher","first-page":"4933","DOI":"10.1109\/TII.2021.3137349","volume":"18","author":"Z Zhou","year":"2022","unstructured":"Zhou Z, Jia Z, Liao H, Lu W, Mumtaz S, Guizani M, Tariq M (2022) Secure and latency-aware digital twin assisted resource scheduling for 5G edge computing-empowered distribution grids. IEEE Trans Ind Inf 18(7):4933\u20134943. https:\/\/doi.org\/10.1109\/TII.2021.3137349","journal-title":"IEEE Trans Ind Inf"},{"issue":"4","key":"2212_CR12","doi-asserted-by":"publisher","first-page":"2954","DOI":"10.1109\/JIOT.2021.3123406","volume":"10","author":"X Deng","year":"2023","unstructured":"Deng X, Yin J, Guan P, Xiong NN, Zhang L, Mumtaz S (2023) Intelligent delay-aware partial computing task offloading for multiuser industrial internet of things through edge computing. IEEE Int Things J 10(4):2954\u20132966. https:\/\/doi.org\/10.1109\/JIOT.2021.3123406","journal-title":"IEEE Int Things J"},{"issue":"12","key":"2212_CR13","doi-asserted-by":"publisher","first-page":"10934","DOI":"10.1109\/TWC.2022.3188302","volume":"21","author":"S Zhang","year":"2022","unstructured":"Zhang S, Gu H, Chi K, Huang L, Yu K, Mumtaz S (2022) DRL-based partial offloading for maximizing sum computation rate of wireless powered mobile edge computing network. IEEE Trans Wirel Commun 21(12):10934\u201310948. https:\/\/doi.org\/10.1109\/TWC.2022.3188302","journal-title":"IEEE Trans Wirel Commun"},{"issue":"3","key":"2212_CR14","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1109\/TETCI.2019.2902869","volume":"4","author":"Z Zhou","year":"2020","unstructured":"Zhou Z, Liao H, Gu B, Mumtaz S, Rodriguez J (2020) Resource sharing and task offloading in IoT fog computing: A contract-learning approach. IEEE Trans Emerg Top Comput Intell 4(3):227\u2013240. https:\/\/doi.org\/10.1109\/TETCI.2019.2902869","journal-title":"IEEE Trans Emerg Top Comput Intell"},{"key":"2212_CR15","doi-asserted-by":"publisher","unstructured":"Nait BMO, Audebert V, Deneuville B (2021) Designing a 5G based smart distribution grid protection system. In: CIRED 2021 - The 26th International conference and exhibition on electricity distribution, vol 2021, pp 1241\u20131245. https:\/\/doi.org\/10.1049\/icp.2021.2033","DOI":"10.1049\/icp.2021.2033"},{"key":"2212_CR16","doi-asserted-by":"publisher","unstructured":"Mumtaz S, Huq KMS, Radwan A, Rodriguez J, Aguiar RL (2014) Energy efficient interference-aware resource allocation in LTE-D2D communication. In: 2014 IEEE international conference on communications (ICC), pp 282\u2013287. https:\/\/doi.org\/10.1109\/ICC.2014.6883332","DOI":"10.1109\/ICC.2014.6883332"},{"key":"2212_CR17","doi-asserted-by":"publisher","unstructured":"Suo S, Kuang X, Cheng R, Chen L, Huang K, Zhao W (2022) Research of real-time monitoring and control technology for distributed energy storage based on 5G. In: 2022 IEEE\/IAS industrial and commercial power system Asia (I &CPS Asia), pp 1496\u20131500. https:\/\/doi.org\/10.1109\/ICPSAsia55496.2022.9949950","DOI":"10.1109\/ICPSAsia55496.2022.9949950"},{"key":"2212_CR18","doi-asserted-by":"publisher","unstructured":"Dai B, Shi Y, Zhao X, Mo F, Li R, Yang D (2022) Construction and implementation of power consumption information system in power supply station area based on edge computing. In: 2022 IEEE 5th international conference on automation, electronics and electrical engineering (AUTEEE), pp 1008\u20131013. https:\/\/doi.org\/10.1109\/AUTEEE56487.2022.9994319","DOI":"10.1109\/AUTEEE56487.2022.9994319"},{"key":"2212_CR19","doi-asserted-by":"publisher","unstructured":"Lin G, Xu Q, Yuan Z, Huang J, Li B, Yu L, Ye X (2022) Research on IoT perception technology of renewable energy based on edge computing. In: 2022 IEEE 10th international conference on information, communication and networks (ICICN), pp 36\u201340. https:\/\/doi.org\/10.1109\/ICICN56848.2022.10006574","DOI":"10.1109\/ICICN56848.2022.10006574"},{"issue":"4","key":"2212_CR20","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1109\/MNET.011.1900389","volume":"34","author":"X Wang","year":"2020","unstructured":"Wang X, Jiang F, Zhong L, Ji Y, Yamada S, Takano K, Xue G (2020) Intelligent post-disaster networking by exploiting crowd big data. IEEE Netw 34(4):49\u201355. https:\/\/doi.org\/10.1109\/MNET.011.1900389","journal-title":"IEEE Netw"},{"key":"2212_CR21","doi-asserted-by":"publisher","unstructured":"Jia Z, Tian G, Wang Y, Zhou Z, Zhao X, Zhang L (2021) Research on low power and large connection technology for power internet of things. Electric Power Information and Communication Technology (10-17). https:\/\/doi.org\/10.16543\/j.2095-641x.electric.power.ict.2021.08.002","DOI":"10.16543\/j.2095-641x.electric.power.ict.2021.08.002"},{"issue":"9","key":"2212_CR22","doi-asserted-by":"publisher","first-page":"6398","DOI":"10.1109\/TII.2021.3133384","volume":"18","author":"B Tahir","year":"2022","unstructured":"Tahir B, Jolfaei A, Tariq M (2022) Experience-driven attack design and federated-learning-based intrusion detection in industry 4.0. IEEE Trans Ind Inf 18(9):6398\u20136405. https:\/\/doi.org\/10.1109\/TII.2021.3133384","journal-title":"IEEE Trans Ind Inf"},{"key":"2212_CR23","doi-asserted-by":"publisher","unstructured":"Wang W, Wang R, Zhang H, Zhou Z, He Y (2022) Matching learning-based relay selection for substation power internet of things. Wireless Communications and Mobile Computing 2022. https:\/\/doi.org\/10.1155\/2022\/6795205","DOI":"10.1155\/2022\/6795205"},{"issue":"5","key":"2212_CR24","doi-asserted-by":"publisher","first-page":"4260","DOI":"10.1109\/JIOT.2019.2963371","volume":"7","author":"H Liao","year":"2020","unstructured":"Liao H, Zhou Z, Zhao X, Zhang L, Mumtaz S, Jolfaei A, Ahmed SH, Bashir AK (2020) Learning-based context-aware resource allocation for edge-computing-empowered industrial IoT. IEEE Int Things J 7(5):4260\u20134277. https:\/\/doi.org\/10.1109\/JIOT.2019.2963371","journal-title":"IEEE Int Things J"},{"issue":"5","key":"2212_CR25","doi-asserted-by":"publisher","first-page":"3093","DOI":"10.1109\/TII.2019.2903100","volume":"15","author":"Z Zhou","year":"2019","unstructured":"Zhou Z, Guo Y, He Y, Zhao X, Bazzi WM (2019) Access control and resource allocation for M2M communications in industrial automation. IEEE Trans Ind Inf 15(5):3093\u20133103. https:\/\/doi.org\/10.1109\/TII.2019.2903100","journal-title":"IEEE Trans Ind Inf"},{"key":"2212_CR26","doi-asserted-by":"publisher","unstructured":"Yunus MY, Marhatang M, Pangkung A, Djalal MR (2019) Design of a-based smart meters to monitor electricity usage in the household sector using hybrid particle swarm optimization-neural network. International Journal of Artificial Intelligence Research. https:\/\/doi.org\/10.29099\/ijair.v3i2.82","DOI":"10.29099\/ijair.v3i2.82"},{"key":"2212_CR27","doi-asserted-by":"publisher","unstructured":"Sun Y, Xu J, Wu H, Lin G, Mumtaz S (2021) Deep learning based semi-supervised control for vertical security of maglev\u00a0vehicle with guaranteed bounded airgap. IEEE Trans Intell Transp Syst 22(7):4431\u20134442. https:\/\/doi.org\/10.1109\/TITS.2020.3045319","DOI":"10.1109\/TITS.2020.3045319"},{"key":"2212_CR28","doi-asserted-by":"publisher","unstructured":"Jadhav AR, Kiran MPR, S., Pachamuthu R, (2021) Development of a novel IoT-enabled power- monitoring architecture with real-time data visualization for use in domestic and industrial scenarios. IEEE Trans Instrum Meas 70:1\u201314. https:\/\/doi.org\/10.1109\/TIM.2020.3028437","DOI":"10.1109\/TIM.2020.3028437"},{"key":"2212_CR29","doi-asserted-by":"publisher","unstructured":"Kong X, Xu Y, Jiao Z, Dong D, Yuan X, Li S (2020) Fault location technology for power system based on information about the power internet of things. IEEE Trans Ind Inf 16(10):6682\u20136692. https:\/\/doi.org\/10.1109\/TII.2019.2960440","DOI":"10.1109\/TII.2019.2960440"},{"issue":"4","key":"2212_CR30","doi-asserted-by":"publisher","first-page":"1542","DOI":"10.1109\/TPWRD.2015.2473681","volume":"31","author":"K Sun","year":"2016","unstructured":"Sun K, Chen Q, Gao Z (2016) An automatic faulted line section location method for electric power distribution systems based on multisource information. IEEE Trans Power Deliv 31(4):1542\u20131551. https:\/\/doi.org\/10.1109\/TPWRD.2015.2473681","journal-title":"IEEE Trans Power Deliv"},{"key":"2212_CR31","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1016\/j.adhoc.2013.08.008","volume":"13","author":"S Mumtaz","year":"2014","unstructured":"Mumtaz S, Lundqvist H, Huq KMS, Rodriguez J, Radwan A (2014) Smart direct-LTE communication: An energy saving perspective. Ad Hoc Netw 13:296\u2013311. https:\/\/doi.org\/10.1016\/j.adhoc.2013.08.008","journal-title":"Ad Hoc Netw"},{"issue":"4","key":"2212_CR32","doi-asserted-by":"publisher","first-page":"1706","DOI":"10.1109\/TPWRD.2019.2918289","volume":"34","author":"T Zhuang","year":"2019","unstructured":"Zhuang T, Ren M, Gao X, Dong M, Huang W, Zhang C (2019) Insulation condition monitoring in distribution power grid via IoT-based sensing network. IEEE Trans Power Deliv 34(4):1706\u20131714. https:\/\/doi.org\/10.1109\/TPWRD.2019.2918289","journal-title":"IEEE Trans Power Deliv"},{"key":"2212_CR33","doi-asserted-by":"publisher","unstructured":"Li G, Shi D, Zhang Z (2022) Dynamic routing algorithm for multi campus network based on improved dueling DQN. Journal of Electronic Measurement and Instrumentation (211\u2013220). https:\/\/doi.org\/10.13382\/j.jemi.B2205515","DOI":"10.13382\/j.jemi.B2205515"},{"key":"2212_CR34","doi-asserted-by":"publisher","unstructured":"Wang F, Li C, Li C, Lu Y, Chen H (2020) Multi-type sensor access technology for medium and low voltage distribution network based on edge computing. Automation & instrumentation (11\u201315) . https:\/\/doi.org\/10.19557\/j.cnki.1001-9944.2020.07.003","DOI":"10.19557\/j.cnki.1001-9944.2020.07.003"}],"container-title":["Mobile Networks and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11036-023-02212-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11036-023-02212-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11036-023-02212-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T13:21:26Z","timestamp":1744204886000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11036-023-02212-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,2]]},"references-count":34,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2024,10]]}},"alternative-id":["2212"],"URL":"https:\/\/doi.org\/10.1007\/s11036-023-02212-9","relation":{},"ISSN":["1383-469X","1572-8153"],"issn-type":[{"type":"print","value":"1383-469X"},{"type":"electronic","value":"1572-8153"}],"subject":[],"published":{"date-parts":[[2023,10,2]]},"assertion":[{"value":"18 May 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 October 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}},{"value":"Not Applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}