{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T04:15:05Z","timestamp":1781842505408,"version":"3.54.5"},"reference-count":18,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T00:00:00Z","timestamp":1745366400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T00:00:00Z","timestamp":1745366400000},"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\/s42162-025-00510-y","type":"journal-article","created":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T09:20:05Z","timestamp":1745400005000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Data-driven power marketing strategy optimization and customer loyalty promotion"],"prefix":"10.1186","volume":"8","author":[{"given":"Bo","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Cui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,4,23]]},"reference":[{"key":"510_CR1","doi-asserted-by":"publisher","first-page":"21","DOI":"10.26480\/aem.01.2023.21.24","volume":"7","author":"CN Alban","year":"2023","unstructured":"Alban CN (2023) Limits and best practices of the sustainability reporting of an electric company in the Philippines using the GRI framework. Acta Electron Malay 7:21\u201324. https:\/\/doi.org\/10.26480\/aem.01.2023.21.24","journal-title":"Acta Electron Malay"},{"key":"510_CR2","doi-asserted-by":"publisher","first-page":"358","DOI":"10.17775\/CSEEJPES.2019.02510","volume":"7","author":"Y Liu","year":"2021","unstructured":"Liu Y, Zhang D, Gooi HB (2021) Data-driven decision-making strategies for electricity retailers: a deepreinforcement learning approach. CSEE J Power Energy Syst 7:358\u2013367. https:\/\/doi.org\/10.17775\/CSEEJPES.2019.02510","journal-title":"CSEE J Power Energy Syst"},{"key":"510_CR3","doi-asserted-by":"publisher","first-page":"89249","DOI":"10.1109\/ACCESS.2023.3306409","volume":"11","author":"HS Ryu","year":"2023","unstructured":"Ryu HS, Kim HJ, Kim MK (2023) Two-level optimal bidding strategy for load aggregator based on a data-driven approach combined with LSTM-based forecasting and agent-based models. IEEE Access 11:89249\u201389264. https:\/\/doi.org\/10.1109\/ACCESS.2023.3306409","journal-title":"IEEE Access"},{"key":"510_CR4","doi-asserted-by":"publisher","first-page":"452","DOI":"10.1016\/j.egyr.2019.11.102","volume":"6","author":"S Yang","year":"2020","unstructured":"Yang S, Xu X, Liu J, Jiang W (2020) Data-driven analysis of the real-time electricity price considering wind power effect. Energy Rep 6:452\u2013459. https:\/\/doi.org\/10.1016\/j.egyr.2019.11.102","journal-title":"Energy Rep"},{"key":"510_CR5","doi-asserted-by":"publisher","unstructured":"Ma L, Liu N, Sun H, Li C, Liu W (2022) Bi-level frequency regulation resource trading for electricity consumers: a data-driven contract approach. Int J Electr Power Energy Syst 135. https:\/\/doi.org\/10.1016\/j.ijepes.2021.107543","DOI":"10.1016\/j.ijepes.2021.107543"},{"key":"510_CR6","doi-asserted-by":"publisher","unstructured":"Zheng Y, You S, Li X, Bindner HW, Muenster M (2022) Data-driven robust optimization for optimal scheduling of power to methanol. Energy Convers Manag 256. https:\/\/doi.org\/10.1016\/j.enconman.2022.115338","DOI":"10.1016\/j.enconman.2022.115338"},{"key":"510_CR7","doi-asserted-by":"publisher","first-page":"2508","DOI":"10.1109\/TSG.2020.3036525","volume":"12","author":"H Zhao","year":"2021","unstructured":"Zhao H, Zhao J, Qiu J, Liang G, Wen F, Xue Y, Dong ZY (2021) Data-driven risk preference analysis in day-ahead electricity market. IEEE Trans Smart Grid 12:2508\u20132517. https:\/\/doi.org\/10.1109\/TSG.2020.3036525","journal-title":"IEEE Trans Smart Grid"},{"key":"510_CR8","doi-asserted-by":"publisher","first-page":"2122","DOI":"10.1109\/TPWRS.2021.3114362","volume":"37","author":"E Samani","year":"2022","unstructured":"Samani E, Kohansal M, Mohsenian-Rad H (2022) A data-driven convergence bidding strategy based on reverse engineering of market participants\u2019 performance: a case of California ISO. IEEE Trans Power Syst 37:2122\u20132136. https:\/\/doi.org\/10.1109\/TPWRS.2021.3114362","journal-title":"IEEE Trans Power Syst"},{"key":"510_CR9","doi-asserted-by":"publisher","unstructured":"Tang Q, Guo H, Chen Q (2022) Bidding strategy evolution analysis based on multi-task inverse reinforcement learning. Electr Power Syst Res 212. https:\/\/doi.org\/10.1016\/j.epsr.2022.108286","DOI":"10.1016\/j.epsr.2022.108286"},{"key":"510_CR10","doi-asserted-by":"publisher","first-page":"370","DOI":"10.1016\/j.ejor.2022.11.011","volume":"306","author":"A Corredera","year":"2023","unstructured":"Corredera A, Ruiz C (2023) Prescriptive selection of machine learning hyperparameters with applications in power markets: retailer\u2019s optimal trading. Eur J Oper Res 306:370\u2013388. https:\/\/doi.org\/10.1016\/j.ejor.2022.11.011","journal-title":"Eur J Oper Res"},{"key":"510_CR11","doi-asserted-by":"publisher","first-page":"3509","DOI":"10.1109\/TSG.2019.2962842","volume":"11","author":"H Guo","year":"2020","unstructured":"Guo H, Chen Q, Gu Y, Shahidehpour M, Xia Q, Kang C (2020) A data-driven pattern extraction method for analyzing bidding behaviors in power markets. IEEE Trans Smart Grid 11:3509\u20133521. https:\/\/doi.org\/10.1109\/TSG.2019.2962842","journal-title":"IEEE Trans Smart Grid"},{"key":"510_CR12","doi-asserted-by":"publisher","first-page":"1286","DOI":"10.1109\/TPWRS.2021.3106263","volume":"37","author":"Z Zhang","year":"2022","unstructured":"Zhang Z, Wu M (2022) Predicting real-time locational marginal prices: a GAN-based approach. IEEE Trans Power Syst 37:1286\u20131296. https:\/\/doi.org\/10.1109\/TPWRS.2021.3106263","journal-title":"IEEE Trans Power Syst"},{"key":"510_CR13","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1108\/MIP-09-2019-0489","volume":"39","author":"S Quach","year":"2021","unstructured":"Quach S, Thaichon P, Roberts RE, Weaven S (2021) Loyalty layers, expectations and the role of knowledge. Mark Intell Plan 39:377\u2013393. https:\/\/doi.org\/10.1108\/MIP-09-2019-0489","journal-title":"Mark Intell Plan"},{"key":"510_CR14","doi-asserted-by":"publisher","first-page":"951","DOI":"10.13106\/jafeb.2020.vol7.no12.951","volume":"7","author":"A Puspaningrum","year":"2020","unstructured":"Puspaningrum A (2020) Social media marketing and brand loyalty: the role of brand trust. J Asian Finance Econ Bus 7:951\u2013958","journal-title":"J Asian Finance Econ Bus"},{"key":"510_CR15","doi-asserted-by":"publisher","first-page":"2633","DOI":"10.3390\/jtaer16070145","volume":"16","author":"S Vinerean","year":"2021","unstructured":"Vinerean S, Opreana A (2021) Measuring customer engagement in social media marketing: a higher-order model. J Theor Appl Electron Commer Res 16:2633\u20132654. https:\/\/doi.org\/10.3390\/jtaer16070145","journal-title":"J Theor Appl Electron Commer Res"},{"key":"510_CR16","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1186\/s40537-020-00290-0","volume":"7","author":"WN Wassouf","year":"2020","unstructured":"Wassouf WN, Alkhatib R, Salloum K, Balloul S (2020) Predictive analytics using big data for increased customer loyalty: syriatel telecom company case study. J Big Data 7:29. https:\/\/doi.org\/10.1186\/s40537-020-00290-0","journal-title":"J Big Data"},{"key":"510_CR17","first-page":"S230","volume":"33","author":"X Luo","year":"2021","unstructured":"Luo X, Li S (2021) Psychological strategy research on enhancing customer loyalty in brand marketing. Psychiatr Danub 33:S230\u2013S231","journal-title":"Psychiatr Danub"},{"key":"510_CR18","doi-asserted-by":"publisher","unstructured":"Vieira VA, Agnihotri R, Severo Almeida MI, Lopes EL (2022) How cashback strategies yield financial benefits for retailers: the mediating role of consumers\u2019 program loyalty. J Bus Res 141:200\u2013212. https:\/\/doi.org\/10.1016\/j.jbusres.2021.11.072","DOI":"10.1016\/j.jbusres.2021.11.072"}],"container-title":["Energy Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s42162-025-00510-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s42162-025-00510-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s42162-025-00510-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T09:20:06Z","timestamp":1745400006000},"score":1,"resource":{"primary":{"URL":"https:\/\/energyinformatics.springeropen.com\/articles\/10.1186\/s42162-025-00510-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,23]]},"references-count":18,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["510"],"URL":"https:\/\/doi.org\/10.1186\/s42162-025-00510-y","relation":{},"ISSN":["2520-8942"],"issn-type":[{"value":"2520-8942","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4,23]]},"assertion":[{"value":"31 October 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 March 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 April 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"53"}}