{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,12]],"date-time":"2026-04-12T01:00:53Z","timestamp":1775955653574,"version":"3.50.1"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T00:00:00Z","timestamp":1728432000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T00:00:00Z","timestamp":1728432000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Energy Inform"],"DOI":"10.1186\/s42162-024-00397-1","type":"journal-article","created":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T13:01:53Z","timestamp":1728478913000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Electricity user behavior analysis and marketing strategy based on internet of things and big data"],"prefix":"10.1186","volume":"7","author":[{"given":"Wei","family":"Ge","sequence":"first","affiliation":[]},{"given":"Bo","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,10,9]]},"reference":[{"key":"397_CR1","doi-asserted-by":"publisher","first-page":"106993","DOI":"10.1016\/j.cie.2020.106993","volume":"152","author":"S Babaee","year":"2021","unstructured":"Babaee S, Toloo M, Hermans E, Shen YJ (2021) A new approach for index construction: the case of the road user behavior index. Comput Industr Comput Industr Eng. 152:106993","journal-title":"Comput Industr Comput Industr Eng."},{"key":"397_CR2","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1016\/j.egyr.2022.12.095","volume":"9","author":"HB Bao","year":"2023","unstructured":"Bao HB, Guo SH, Mo JT, Zhao ZW, Wang ZY, Chen ZM, Liang JJ (2023) An analysis method for residential electricity consumption behavior based on UMAP-CRITIC feature optimization and SSA-assisted clustering. Energy Rep 9:245\u2013254","journal-title":"Energy Rep"},{"issue":"12","key":"397_CR3","doi-asserted-by":"publisher","first-page":"25521","DOI":"10.1109\/TITS.2021.3076607","volume":"23","author":"S Deng","year":"2022","unstructured":"Deng S, Cai QY, Zhang Z, Wu XD (2022) User behavior analysis based on stacked autoencoder and clustering in complex power grid environment. Ieee Trans Intell Transport Syst. 23(12):25521\u201325535","journal-title":"Ieee Trans Intell Transport Syst."},{"key":"397_CR4","doi-asserted-by":"publisher","first-page":"102867","DOI":"10.1016\/j.est.2021.102867","volume":"41","author":"ZG He","year":"2021","unstructured":"He ZG, Shen XY, Sun YY, Zhao SC, Fan B, Pan CF (2021) State-of-health estimation based on real data of electric vehicles concerning user behavior. J Energy Storage. 41:102867","journal-title":"J Energy Storage."},{"key":"397_CR5","doi-asserted-by":"publisher","first-page":"123698","DOI":"10.1016\/j.energy.2022.123698","volume":"249","author":"DD Hu","year":"2022","unstructured":"Hu DD, Zhou KL, Li FY, Ma DW (2022) Electric vehicle user classification and value discovery based on charging big data. Energy 249:123698","journal-title":"Energy"},{"key":"397_CR6","doi-asserted-by":"crossref","unstructured":"Ippolito F, Venturini M. Micro combined heat and power system transient operation in a residential user microgrid. J Energy Resour Technol Trans Asme. 2019;141(4).","DOI":"10.1115\/1.4042231"},{"issue":"12","key":"397_CR7","doi-asserted-by":"publisher","first-page":"e19183","DOI":"10.2196\/19183","volume":"23","author":"YQ Lei","year":"2021","unstructured":"Lei YQ, Xu SH, Zhou LY (2021) User behaviors and user-generated content in chinese online health communities: comparative study. J Med Internet Res 23(12):e19183","journal-title":"J Med Internet Res"},{"issue":"16","key":"397_CR8","doi-asserted-by":"publisher","first-page":"7625","DOI":"10.3390\/app11167625","volume":"11","author":"H Li","year":"2021","unstructured":"Li H, Hu B, Liu YB, Yang B, Liu XF, Li GD et al (2021) Classification of electricity consumption behavior based on improved K-means and LSTM. Appl Sci Basel. 11(16):7625","journal-title":"Appl Sci Basel."},{"issue":"5","key":"397_CR9","doi-asserted-by":"publisher","first-page":"2485","DOI":"10.3390\/s23052485","volume":"23","author":"J Li","year":"2023","unstructured":"Li J, Yang JH, Cai H, Jiang C, Jiang Q, Xie Y et al (2023) The empty-nest power user management based on data mining technology. Sensors 23(5):2485","journal-title":"Sensors"},{"key":"397_CR10","doi-asserted-by":"crossref","unstructured":"Li QP, Wang G, Zhang Y, Yang Q. Analysis of user electricity consumption behavior based on density peak clustering with shared neighbors and attractiveness. Concurr Comput Pract Exp. 2023;35(3).","DOI":"10.1002\/cpe.7518"},{"issue":"16","key":"397_CR11","doi-asserted-by":"publisher","first-page":"3144","DOI":"10.3390\/en12163144","volume":"12","author":"RH Lin","year":"2019","unstructured":"Lin RH, Yang FC, Gao MY, Wu BD, Zhao YY (2019) AUD-MTS: an abnormal user detection approach based on power load multi-step clustering with multiple time scales. Energies 12(16):3144","journal-title":"Energies"},{"issue":"6","key":"397_CR12","doi-asserted-by":"publisher","first-page":"55","DOI":"10.5755\/j01.eie.25.6.24827","volume":"25","author":"YJ Liu","year":"2019","unstructured":"Liu YJ, Hong Y, Hu C (2019) Research on big data mining technology of electric vehicle charging behaviour. Elektronika Ir Elektrotechnika 25(6):55\u201361","journal-title":"Elektronika Ir Elektrotechnika"},{"key":"397_CR13","doi-asserted-by":"publisher","first-page":"3170","DOI":"10.1109\/ACCESS.2018.2889500","volume":"7","author":"D Liu","year":"2019","unstructured":"Liu D, Sun Y, Qu Y, Li B, Xu YH (2019) Analysis and accurate prediction of user\u2019s response behavior in incentive-based demand response. IEEE Access. 7:3170\u20133180","journal-title":"IEEE Access."},{"issue":"3","key":"397_CR14","doi-asserted-by":"publisher","first-page":"2539","DOI":"10.32604\/cmc.2021.012213","volume":"66","author":"HR Liu","year":"2021","unstructured":"Liu HR, Zhang X, Li JJ, Wang BL (2021) A novel collective user web behavior simulation method. Cmc-Comput Mater Continua 66(3):2539\u20132553","journal-title":"Cmc-Comput Mater Continua"},{"key":"397_CR15","doi-asserted-by":"crossref","unstructured":"Liu WT, Zhou BR, Ou MY, Zhao WM, Huang GL, Mao T. Electricity-gas multi-agent planning method considering users' comprehensive energy consumption behavior. Front Energy Res. 2024;11.","DOI":"10.3389\/fenrg.2023.1341400"},{"key":"397_CR16","doi-asserted-by":"publisher","first-page":"1202","DOI":"10.1016\/j.ins.2022.07.021","volume":"608","author":"GX Luo","year":"2022","unstructured":"Luo GX, Zhang ZY, Diao SM (2022) Empirical analysis and modelling social network user interaction behavior and time characteristics based on selection preference. Inf Sci 608:1202\u20131220","journal-title":"Inf Sci"},{"key":"397_CR17","doi-asserted-by":"crossref","unstructured":"Qian Y, Wang YT, Shao J. Enhancing power utilization analysis: detecting aberrant patterns of electricity consumption. Electr Eng. 2024.","DOI":"10.1007\/s00202-024-02306-x"},{"key":"397_CR18","doi-asserted-by":"publisher","first-page":"103400","DOI":"10.1016\/j.ergon.2022.103400","volume":"94","author":"M Uhl","year":"2023","unstructured":"Uhl M, Robens JH, Gauch M, Gwosch T, Matthiesen S (2023) Does the user behavior effect the productivity of hammer drilling?-Analysis of the influences of feed and lateral force. Int J Industr Ergon. 94:103400","journal-title":"Int J Industr Ergon."},{"issue":"6","key":"397_CR19","first-page":"342","volume":"77","author":"AS Walia","year":"2018","unstructured":"Walia AS, Kumar N (2018) Powered lower limb exoskeleton featuring intuitive graphical user interface with analysis for physical rehabilitation progress. J Sci Ind Res 77(6):342\u2013344","journal-title":"J Sci Ind Res"},{"key":"397_CR20","doi-asserted-by":"publisher","first-page":"20215","DOI":"10.1109\/ACCESS.2020.2965543","volume":"8","author":"LL Wang","year":"2020","unstructured":"Wang LL, Zhang LJ, Xu CQ, Wu HB, Li YM, Sun HN (2020) Three-dimensional maturity model of regional power users against the background of the ubiquitous power internet of things. IEEE Access. 8:20215\u201320223","journal-title":"IEEE Access."},{"issue":"2","key":"397_CR21","doi-asserted-by":"publisher","first-page":"62","DOI":"10.26480\/aem.02.2023.62.66","volume":"7","author":"Z Wang","year":"2023","unstructured":"Wang Z, Lin H, Wen J, Xia Y, Wen C (2023) optimal placement and sizing of electric vehicle charging infrastructure using DC power flow model. Acta Electronica Malaysia 7(2):62\u201366","journal-title":"Acta Electronica Malaysia"},{"key":"397_CR22","doi-asserted-by":"publisher","first-page":"488","DOI":"10.1016\/j.egyr.2022.01.143","volume":"8","author":"QT Wu","year":"2022","unstructured":"Wu QT, Zhang MX, Liao LY (2022) Analysis of electricity stealing based on user electricity characteristics of electricity information collection system. Energy Rep 8:488\u2013494","journal-title":"Energy Rep"},{"key":"397_CR23","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1016\/j.egyr.2023.01.007","volume":"9","author":"Q Wu","year":"2023","unstructured":"Wu Q, Ren HB, Shi SS, Fang C, Wan S, Li QF (2023) Analysis and prediction of industrial energy consumption behavior based on big data and artificial intelligence. Energy Rep 9:395\u2013402","journal-title":"Energy Rep"},{"key":"397_CR24","first-page":"1","volume":"2022","author":"GJ Xu","year":"2022","unstructured":"Xu GJ, Qian XS, Li XD, Wu WJ (2022) Hazard trend identification model based on statistical analysis of abnormal power generation behavior data. Int Trans Electr Energy Syst. 2022:1\u20137","journal-title":"Int Trans Electr Energy Syst."},{"issue":"3","key":"397_CR25","doi-asserted-by":"publisher","first-page":"1309","DOI":"10.1520\/JTE20220095","volume":"51","author":"DM Yang","year":"2023","unstructured":"Yang DM, Zhang YY, He HM (2023) AI-based detection of power consumption behavior of people in a smart city. J Test Eval 51(3):1309\u20131321","journal-title":"J Test Eval"},{"key":"397_CR26","doi-asserted-by":"crossref","unstructured":"Yang YY, Pan F, Li JL, Ji YL, Zhong LH, Zhang J. Electricity consumption optimization of power users driven by a dynamic electric carbon factor. Front Energy Res. 2024;12.","DOI":"10.3389\/fenrg.2024.1373206"},{"issue":"1","key":"397_CR27","first-page":"41","volume":"6","author":"SP Zhai","year":"2020","unstructured":"Zhai SP, Zhou H, Wang ZH, He GY (2020) Analysis of dynamic appliance flexibility considering user behavior via non-intrusive load monitoring and deep user modeling. Csee J Power Energy Syst 6(1):41\u201351","journal-title":"Csee J Power Energy Syst"},{"issue":"7","key":"397_CR28","first-page":"7590","volume":"35","author":"ZB Zhang","year":"2023","unstructured":"Zhang ZB, Ren FX, Zhang JW, Su S, Yan Y, Wei Q et al (2023) When behavior analysis meets social network alignment. IEEE Trans Knowl Data Eng 35(7):7590\u20137607","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"397_CR29","doi-asserted-by":"crossref","unstructured":"Zhang JQ, Tong X, Song HT, Xi YH, Zhang S. Hierarchical classification method of electricity consumption behavior of power users based on combination model. Soft Comput. 2023.","DOI":"10.1007\/s00500-023-08765-x"},{"key":"397_CR30","doi-asserted-by":"publisher","first-page":"101665","DOI":"10.1016\/j.sysarc.2019.101665","volume":"102","author":"X Zhao","year":"2020","unstructured":"Zhao X, Bhuiyan MZA, Qi LY, Nie HL, Tang WD, Dou WC (2020) TrCMP: a dependable app usage inference design for user behavior analysis through cyber-physical parameters. J Syst Archit 102:101665","journal-title":"J Syst Archit"},{"key":"397_CR31","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.apenergy.2019.04.076","volume":"248","author":"KL Zhou","year":"2019","unstructured":"Zhou KL, Wei SY, Yang SL (2019) Time-of-use pricing model based on power supply chain for user-side microgrid. Appl Energy 248:35\u201343","journal-title":"Appl Energy"}],"container-title":["Energy Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s42162-024-00397-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s42162-024-00397-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s42162-024-00397-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T13:02:32Z","timestamp":1728478952000},"score":1,"resource":{"primary":{"URL":"https:\/\/energyinformatics.springeropen.com\/articles\/10.1186\/s42162-024-00397-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,9]]},"references-count":31,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["397"],"URL":"https:\/\/doi.org\/10.1186\/s42162-024-00397-1","relation":{},"ISSN":["2520-8942"],"issn-type":[{"value":"2520-8942","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,9]]},"assertion":[{"value":"16 May 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 September 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 October 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This study is unrelated to ethical approval. Written informed consent was obtained from all participants.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Written informed consent was obtained from the patient for publication of this study and accompanying images.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"100"}}