{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T22:45:55Z","timestamp":1776811555640,"version":"3.51.2"},"reference-count":12,"publisher":"European Society of Computational Methods in Sciences and Engineering","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"published-print":{"date-parts":[[2022,1,26]]},"abstract":"<jats:p>The current method of smart meter verification relies on manual regular sampling inspection, which is heavy in workload and poor in real-time, and can\u2019t fully monitor all the equipments. Therefore, a remote real-time error monitoring algorithm is indispensable. We propose a smart meter error estimation model based on genetic optimized Levenberg-Marquarelt (LM) algorithm. Firstly, based on the law of conservation of energy, the relationship between smart meter error and electricity consumption is established. Then, LM algorithm is optimized based on genetic algorithm and used to estimate the operating error of electricity meter. Finally, we used the actual data of the pilot cities in a province for the experiment. The results show that the proposed method can effectively improve the accuracy of smart meter error estimation.<\/jats:p>","DOI":"10.3233\/jcm-215896","type":"journal-article","created":{"date-parts":[[2021,12,21]],"date-time":"2021-12-21T12:09:35Z","timestamp":1640088575000},"page":"197-205","source":"Crossref","is-referenced-by-count":3,"title":["Metering equipment running error estimation model based on genetic optimized LM algorithm"],"prefix":"10.66113","volume":"22","author":[{"given":"Liang","family":"Chen","sequence":"first","affiliation":[{"name":"Meteorology Center of Guangdong Power Grid Co. Ltd., Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youpeng","family":"Huang","sequence":"additional","affiliation":[{"name":"Meteorology Center of Guangdong Power Grid Co. Ltd., Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Lu","sequence":"additional","affiliation":[{"name":"Meteorology Center of Guangdong Power Grid Co. Ltd., Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sanlei","family":"Dang","sequence":"additional","affiliation":[{"name":"Meteorology Center of Guangdong Power Grid Co. Ltd., Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhengmin","family":"Kong","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"55691","reference":[{"key":"10.3233\/JCM-215896_ref1","doi-asserted-by":"crossref","first-page":"67436","DOI":"10.1109\/ACCESS.2020.2985725","article-title":"Remote malfunctional smart meter detection in edge computing environment","volume":"8","author":"Liu","year":"2020","journal-title":"IEEE Access."},{"issue":"10","key":"10.3233\/JCM-215896_ref2","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1109\/MCOM.2017.1700169","article-title":"Software defined machine-to-machine communication for smart energy management","volume":"55","author":"Zhou","year":"2017","journal-title":"IEEE Communications Magazine."},{"issue":"1","key":"10.3233\/JCM-215896_ref4","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1109\/TSTE.2014.2355837","article-title":"Raw wind data preprocessing: A data-mining approach","volume":"6","author":"Zheng","year":"2014","journal-title":"IEEE Transactions on Sustainable Energy."},{"issue":"2","key":"10.3233\/JCM-215896_ref6","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1109\/MIAS.2016.2600737","article-title":"The emerging enernet: Convergence of the smart grid with the internet of things","volume":"23","author":"Collier","year":"2016","journal-title":"IEEE Industry Applications Magazine."},{"issue":"4","key":"10.3233\/JCM-215896_ref7","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1109\/MNET.2012.6246751","article-title":"The internet of energy: A web-enabled smart grid system","volume":"26","author":"Bui","year":"2012","journal-title":"IEEE Network."},{"issue":"9","key":"10.3233\/JCM-215896_ref8","doi-asserted-by":"crossref","first-page":"6677","DOI":"10.1109\/TIM.2020.3002402","article-title":"A method for noninvasive remote monitoring of energy meter error using power consumption profile","volume":"69","author":"Nakutis","year":"2020","journal-title":"IEEE Transactions on Instrumentation and Measurement."},{"issue":"5","key":"10.3233\/JCM-215896_ref12","doi-asserted-by":"crossref","first-page":"2497","DOI":"10.1109\/TSG.2016.2531994","article-title":"Distribution system model calibration with big data from AMI and PV inverters","volume":"7","author":"Peppanen","year":"2016","journal-title":"IEEE Transactions on Smart Grid."},{"issue":"8","key":"10.3233\/JCM-215896_ref13","doi-asserted-by":"crossref","first-page":"737","DOI":"10.1049\/joe.2019.0978","article-title":"Multiresolution matrix factorisation as a compression method for smart meter data","volume":"2020","author":"Ahmad","year":"2020","journal-title":"The Journal of Engineering."},{"key":"10.3233\/JCM-215896_ref14","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1016\/j.ijepes.2017.04.005","article-title":"Detection of energy theft and defective smart meters in smart grids using linear regression","volume":"91","author":"Yip","year":"2017","journal-title":"International Journal of Electrical Power & Energy Systems."},{"issue":"5","key":"10.3233\/JCM-215896_ref15","doi-asserted-by":"crossref","first-page":"805","DOI":"10.3390\/en12050805","article-title":"A recursive least squares method with double-parameter for online estimation of electric meter errors","volume":"12","author":"Kong","year":"2019","journal-title":"Energies."},{"issue":"6","key":"10.3233\/JCM-215896_ref19","doi-asserted-by":"crossref","first-page":"6904","DOI":"10.1109\/TPWRS.2018.2849325","article-title":"Statistical and numerical robust state estimator for heavily loaded power systems","volume":"33","author":"Zhao","year":"2018","journal-title":"IEEE Transactions on Power Systems."},{"issue":"09","key":"10.3233\/JCM-215896_ref20","first-page":"1","article-title":"Error analysis and compensation for Non-Integer-Period sampling in energy metering of smart substation","volume":"34","author":"Yao","year":"2015","journal-title":"Zhejiang Electric Power."}],"container-title":["Journal of Computational Methods in Sciences and Engineering"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JCM-215896","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T22:06:33Z","timestamp":1776809193000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JCM-215896"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,26]]},"references-count":12,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.3233\/jcm-215896","relation":{},"ISSN":["1472-7978","1875-8983"],"issn-type":[{"value":"1472-7978","type":"print"},{"value":"1875-8983","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,26]]}}}