{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T14:17:45Z","timestamp":1742998665725,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":12,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811533075"},{"type":"electronic","value":"9789811533082"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-981-15-3308-2_45","type":"book-chapter","created":{"date-parts":[[2020,3,12]],"date-time":"2020-03-12T13:03:07Z","timestamp":1584018187000},"page":"416-428","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Multi-component Chiller Status Prediction Method Using E-LSTM"],"prefix":"10.1007","author":[{"given":"Chenrui","family":"Xu","sequence":"first","affiliation":[]},{"given":"Kebin","family":"Jia","sequence":"additional","affiliation":[]},{"given":"Zhuozheng","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Ye","family":"Yuan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,3,13]]},"reference":[{"key":"45_CR1","unstructured":"The Science Behind Refrigeration. Berg Chilling Systems Inc. Accessed 2016"},{"key":"45_CR2","unstructured":"Jie, Z.: Research on regression analysis model and its dynamic optimization mechanism for data prediction (2018)"},{"key":"45_CR3","unstructured":"Shunlai, R., Caiwu, L.: Optimal scheduling method of global energy consumption for virtualized data center. Comput. Eng. 39(12) (2013)"},{"key":"45_CR4","unstructured":"Ming, W., Dingli, Z., Qian, F., Jun, Q.I., Huangcheng, F., Wenbo, C.: Non-linear auto-regressive time series prediction method for tunnel surrounding rock deformation. J. Beijing Jiaotong Univ. 41(4) (2017)"},{"key":"45_CR5","unstructured":"Binnan, L., Guishing, K.: Prediction model of soil moisture characteristic curve based on grey theory-BP neural network method. Resour. Environ. Arid Areas (7) (2018)"},{"key":"45_CR6","unstructured":"Nanyi, Z.: Study on the extraction and prediction of data features based on deep learning (2017)"},{"issue":"8","key":"45_CR7","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"45_CR8","unstructured":"TechTarget Data Center: \u201cPower usage effectiveness\u201d. \nhttps:\/\/searchdatacenter.techtarget.com.cn\/whatis\/9-21989\/"},{"key":"45_CR9","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., et al.: Scikit-learn: machine learning in python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"45_CR10","unstructured":"Chao, D., Jinwei, S.: Visual analysis system of cigarette market data based on thermal attempt. Tobacco Technol. (12) (2016)"},{"key":"45_CR11","unstructured":"Metz, C.: Google just open sourced tensorflow, its artificial intelligence engine. Wired. Accessed 10 Nov 2015"},{"key":"45_CR12","unstructured":"Zeiler, M.D.: Adadelta: an adaptive learning rate method (2012). arXiv preprint \narXiv:1212.5701"}],"container-title":["Advances in Intelligent Systems and Computing","Genetic and Evolutionary Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-3308-2_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,3,12]],"date-time":"2020-03-12T21:21:34Z","timestamp":1584048094000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-3308-2_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811533075","9789811533082"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-3308-2_45","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"13 March 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICGEC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Genetic and Evolutionary Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Qingdao","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 November 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 November 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icgec2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/bit.kuas.edu.tw\/~icgec19\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}