{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,4]],"date-time":"2025-06-04T05:25:54Z","timestamp":1749014754913,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031067938"},{"type":"electronic","value":"9783031067945"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-06794-5_16","type":"book-chapter","created":{"date-parts":[[2022,7,3]],"date-time":"2022-07-03T23:03:27Z","timestamp":1656889407000},"page":"189-205","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Research on Commercial Sector Electricity Load Model Based on Exponential Smoothing Method"],"prefix":"10.1007","author":[{"given":"Huifeng","family":"Yan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuyang","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dawei","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Xiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiyong","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingwen","family":"Shen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,7,4]]},"reference":[{"issue":"17","key":"16_CR1","first-page":"147","volume":"43","author":"W Huang","year":"2020","unstructured":"Huang, W., Zhang, Y., Huang, Y.: Research on power generation forecast of thermal power plant based on dynamic cubic exponential smoothing method. Mod. Electron. Technol. 43(17), 147\u2013154 (2020)","journal-title":"Mod. Electron. Technol."},{"issue":"03","key":"16_CR2","first-page":"634","volume":"38","author":"Y Fang","year":"2019","unstructured":"Fang, Y., Yu, F., Xiang, G., Wang, X.: The cubic exponential smoothing model based on grey theory predicts the f-CaO content of hot steel slag during natural aging. Bull. Chin. Ceram. Soc. 38(03), 634\u2013648 (2019)","journal-title":"Bull. Chin. Ceram. Soc."},{"issue":"06","key":"16_CR3","first-page":"757","volume":"25","author":"G Tang","year":"2018","unstructured":"Tang, G., Zhang, F., Lu, W., Peng, J., He, L., Li, Y.: Application of exponential smoothing method in the prediction of measles incidence. Pract. Prev. Med. 25(06), 757\u2013759 (2018)","journal-title":"Pract. Prev. Med."},{"key":"16_CR4","volume-title":"Establishment and Realization of the Prediction Model for the Development Level of Modern Agricultural Equipment in Xinjiang Production and Construction Corps","author":"D Li","year":"2016","unstructured":"Li, D.: Establishment and Realization of the Prediction Model for the Development Level of Modern Agricultural Equipment in Xinjiang Production and Construction Corps. Shihezi University, Xinjiang Uygur Autonomous Region (2016)"},{"issue":"08","key":"16_CR5","first-page":"143","volume":"40","author":"X Xie","year":"2019","unstructured":"Xie, X., Zheng, Z., Wang, J., Chun, C.: Cloud forecast model based on exponential smoothing and cubic convolution time network. On Commun. 40(08), 143\u2013150 (2019)","journal-title":"On Commun."},{"key":"16_CR6","volume-title":"Research and Application of Time Series Analysis Method Based on Machine Learning","author":"M Jia","year":"2020","unstructured":"Jia, M.: Research and Application of Time Series Analysis Method Based on Machine Learning. Xi\u2019an University of Science and Technology, Shaanxi Province (2020)"},{"key":"16_CR7","first-page":"167","volume":"27","author":"S Wei","year":"2019","unstructured":"Wei, S.: Forecast of air quality in Taiyuan city based on the triple exponential smoothing method. Sci. Educ. J. 27, 167\u2013169 (2019)","journal-title":"Sci. Educ. J."},{"key":"16_CR8","volume-title":"Research on the Prediction Model of Expressway Traffic Flow","author":"J Cao","year":"2020","unstructured":"Cao, J.: Research on the Prediction Model of Expressway Traffic Flow. Zhejiang University of Science and Technology, Zhejiang Province (2020)"},{"key":"16_CR9","first-page":"58","volume":"S2","author":"Y Tian","year":"2020","unstructured":"Tian, Y., Zhang, X., Cheng, G., Wang, N., Li, F.: Improved clustering and LSTM predicted long-term residential load. Henan Power S2, 58\u201363 (2020)","journal-title":"Henan Power"},{"issue":"04","key":"16_CR10","first-page":"43","volume":"29","author":"L Wei","year":"2021","unstructured":"Wei, L., Zhang, J.: Study analysis electricity load based on the depth of belief networks. Electron. Des. Eng. 29(04), 43\u201347 (2021)","journal-title":"Electron. Des. Eng."},{"key":"16_CR11","doi-asserted-by":"crossref","unstructured":"Liu, W., Qin, Y., Dong, H., Yang, Y., Tian, Z.: Highway passenger traffic volume prediction of cubic exponential smoothing model based on grey system theory. In: 2nd International Conference on Soft Computing in Information Communication Technology. Atlantis Press (2014)","DOI":"10.2991\/scict-14.2014.44"},{"issue":"06","key":"16_CR12","first-page":"63","volume":"38","author":"H Gao","year":"2018","unstructured":"Gao, H., Zhang, D.: Fractal and three exponential smoothing traffic flow forecasting model. Nanjing Univ. Posts Telecommun. (Natural Science) 38(06), 63\u201367 (2018)","journal-title":"Nanjing Univ. Posts Telecommun. (Natural Science)"},{"issue":"01","key":"16_CR13","first-page":"27","volume":"40","author":"X Gong","year":"2018","unstructured":"Gong, X., Guo, J.: Based on cubic exponential smoothing shanghai brand auction monthly average price forecast. Univ. Shanghai Sci. Technol. 40(01), 27\u201332 (2018)","journal-title":"Univ. Shanghai Sci. Technol."},{"key":"16_CR14","doi-asserted-by":"crossref","unstructured":"Scotch, C.G., Murgulet, D., Constantz, J.: Time-series temperature analyses indicate conduction and diffusion are dominant heat-transfer processes in fine sediment, low-flow streams. Sci. Total Environ. 768 (2021)","DOI":"10.1016\/j.scitotenv.2020.144367"},{"issue":"04","key":"16_CR15","first-page":"6","volume":"38","author":"A Chen","year":"2021","unstructured":"Chen, A., Tong, L., Zheng, C., Xu, Z., Liu, Y., Xie, C.: Research on the economic development of business districts based on power data. Power Supply 38(04), 6\u201310 (2021)","journal-title":"Power Supply"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence and Security"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-06794-5_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T12:11:04Z","timestamp":1657714264000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-06794-5_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031067938","9783031067945"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-06794-5_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"4 July 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICAIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Adaptive and Intelligent Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Qinghai","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 July 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 July 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icais2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.icaisconf.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1124","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"116","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"52","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"10% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"8","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}