{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:16:31Z","timestamp":1750220191801,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,9,23]],"date-time":"2022-09-23T00:00:00Z","timestamp":1663891200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,9,23]]},"DOI":"10.1145\/3573942.3574017","type":"proceedings-article","created":{"date-parts":[[2023,5,16]],"date-time":"2023-05-16T23:45:42Z","timestamp":1684280742000},"page":"243-250","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Energy Consumption Prediction in Ceramic Production Process Based on a PSO-ELM Coupling Model"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5815-7076","authenticated-orcid":false,"given":"Kai","family":"Li","sequence":"first","affiliation":[{"name":"Xi'an University of Posts & Telecommunications, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8875-3538","authenticated-orcid":false,"given":"Jiantao","family":"Chang","sequence":"additional","affiliation":[{"name":"Xi'an University of Posts & Telecommunications, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1937-9922","authenticated-orcid":false,"given":"Chen","family":"Wang","sequence":"additional","affiliation":[{"name":"Xi'an University of Posts & Telecommunications, China"}]}],"member":"320","published-online":{"date-parts":[[2023,5,16]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2018.08.179"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2022.101684"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2020.118320"},{"issue":"1","key":"e_1_3_2_1_4_1","first-page":"3","article-title":"Using the dynamic model ARMA to forecast the macroeconomic evolution","volume":"64","author":"Anghelache C.","year":"2016","unstructured":"Anghelache, C., Grabara, J., and Manole, A. 2016. Using the dynamic model ARMA to forecast the macroeconomic evolution. Romanian Statistical Review Supplement, 64(1), 3-13.","journal-title":"Romanian Statistical Review Supplement"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.2478\/v10198-012-0034-2"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10509-021-04036-z"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.32479\/ijeep.7605"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1080\/15567036.2018.1495782"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Wang J. and Zhao Z. 2022. Prediction and management of the quality of classified student training based on an improved neural network. International Journal of Emerging Technologies in Learning 17(8).","DOI":"10.3991\/ijet.v17i08.30559"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2017.05.102"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.3390\/app9183865"},{"key":"e_1_3_2_1_12_1","volume-title":"Mathematical Problems in Engineering","author":"Zhang H. G.","year":"2014","unstructured":"Zhang, H. G., Zhang, S., and Yin, Y. X. 2014. A novel improved ELM algorithm for a real industrial application. Mathematical Problems in Engineering, 2014."},{"issue":"1","key":"e_1_3_2_1_13_1","first-page":"1","article-title":"Development of an onem2m-compliant IoT platform for wearable data collection","volume":"13","author":"Ahn I. Y.","year":"2019","unstructured":"Ahn, I. Y., Sung, N. M., Lim, J. H., Seo, J., and Yun, I. D. 2019. Development of an onem2m-compliant IoT platform for wearable data collection. KSII Transactions on Internet and Information Systems (TIIS), 13(1), 1-15.","journal-title":"KSII Transactions on Internet and Information Systems (TIIS)"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.3390\/s21020487"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2021.116452"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2019.04.134"},{"key":"e_1_3_2_1_17_1","unstructured":"Zhai H. Zhai Y. Zhu T. and Yan S. 2017. Prediction model of landslide deformation and instability based on regression-elm neural network model. Hebei Journal of Industrial Science and Technology."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-021-09979-x"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-022-08856-3"}],"event":{"name":"AIPR 2022: 2022 5th International Conference on Artificial Intelligence and Pattern Recognition","acronym":"AIPR 2022","location":"Xiamen China"},"container-title":["Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3573942.3574017","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3573942.3574017","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:02:32Z","timestamp":1750186952000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3573942.3574017"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,23]]},"references-count":19,"alternative-id":["10.1145\/3573942.3574017","10.1145\/3573942"],"URL":"https:\/\/doi.org\/10.1145\/3573942.3574017","relation":{},"subject":[],"published":{"date-parts":[[2022,9,23]]},"assertion":[{"value":"2023-05-16","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}