{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T21:34:43Z","timestamp":1726004083482},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030052331"},{"type":"electronic","value":"9783030052348"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-030-05234-8_24","type":"book-chapter","created":{"date-parts":[[2018,12,29]],"date-time":"2018-12-29T17:44:09Z","timestamp":1546105449000},"page":"192-200","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Feature Extraction of Dichotomous Equipment Based on Non-intrusive Load Monitoring and Decomposition"],"prefix":"10.1007","author":[{"given":"Fangping","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heng","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maosheng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,12,30]]},"reference":[{"issue":"2","key":"24_CR1","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1109\/44.31557","volume":"8","author":"GW Hart","year":"1989","unstructured":"Hart, G.W.: Residential energy monitoring and computerized surveillance via utility power flows. IEEE Technol. Soc. Mag. 8(2), 12\u201316 (1989)","journal-title":"IEEE Technol. Soc. Mag."},{"issue":"09","key":"24_CR2","first-page":"30","volume":"35","author":"L Niu","year":"2011","unstructured":"Niu, L., Jia, H.: Transient event detection algorithm for non-intrusive load monitoring. Autom. Electr. Power Syst. 35(09), 30\u201335 (2011)","journal-title":"Autom. Electr. Power Syst."},{"key":"24_CR3","unstructured":"Li, P.: Non-intrusive method for power load disaggregation and monitoring. Tianjin University (2009)"},{"issue":"02","key":"24_CR4","first-page":"11","volume":"29","author":"C Wang","year":"2010","unstructured":"Wang, C., Guo, H., Zhang, W.: Research on power system short term load forecasting method based on wavelet decomposition. Hebei Electr. Power 29(02), 11\u201314 (2010)","journal-title":"Hebei Electr. Power"},{"issue":"04","key":"24_CR5","first-page":"1","volume":"7","author":"Y Yu","year":"2013","unstructured":"Yu, Y., Liu, B., Luan, W.: Nonintrusive residential load monitoring and decomposition technology. South. Power Syst. Technol. 7(04), 1\u20135 (2013)","journal-title":"South. Power Syst. Technol."},{"key":"24_CR6","unstructured":"Lin, J.: Application of recognition model for power load in cluster ensemble and deep learning. South China University of Technology (2014)"},{"key":"24_CR7","unstructured":"Liu, B.: Non-intrusive power load monitoring and disaggregation technique. Tianjin University (2014)"},{"key":"24_CR8","unstructured":"Sheng, M.: Algorithm research of non-intrusive household appliances recognition. Ocean University of China (2015)"},{"issue":"13","key":"24_CR9","first-page":"27","volume":"44","author":"Y Xu","year":"2016","unstructured":"Xu, Y., Li, W., Li, D., You, X.: Disaggregation for non-invasive domestic appliances based on the improved chicken swarm optimization algorithm. Power Syst. Prot. Control 44(13), 27\u201332 (2016)","journal-title":"Power Syst. Prot. Control"},{"key":"24_CR10","unstructured":"Cui, C.: Study on key technologies in non-intrusive residential load monitoring for intelligent power utilization. School of North China Electric Power University (2017)"},{"issue":"10","key":"24_CR11","first-page":"3108","volume":"40","author":"X Cheng","year":"2016","unstructured":"Cheng, X., Li, L., Wu, H., Ding, Y., Song, Y., Sun, W.: A survey of the research on non-intrusive load monitoring and disaggregation. Power Syst. Technol. 40(10), 3108\u20133117 (2016)","journal-title":"Power Syst. Technol."},{"issue":"2","key":"24_CR12","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1007\/s00500-016-2364-y","volume":"22","author":"Y Huang","year":"2016","unstructured":"Huang, Y., Li, W., Liang, Z., Xue, Y., Wang, X.: Efficient business process consolidation: combining topic features with structure matching. Soft Comput. 22(2), 645\u2013657 (2016)","journal-title":"Soft Comput."},{"issue":"19","key":"24_CR13","first-page":"35","volume":"2007","author":"Z Bin","year":"2017","unstructured":"Bin, Z., Jing, S.: A power quality analysis method based on Mallat algorithm and fast fourier transform. Power Syst. Technol. 2007(19), 35\u201340 (2017)","journal-title":"Power Syst. Technol."},{"key":"24_CR14","unstructured":"Lei, D.: The research on algorithm of the NILM in circuit fault detection and household appliances power consumption monitoring. College of Electrical Engineering of Chongqing University (2012)"},{"key":"24_CR15","doi-asserted-by":"publisher","first-page":"11751","DOI":"10.1109\/ACCESS.2018.2796571","volume":"6","author":"W Tan","year":"2018","unstructured":"Tan, W., Xie, D., Xia, J., Tan, W., Fan, L., Jin, S.: Spectral and energy efficiency of massive MIMO for hybrid architectures based on phase shifters. IEEE Access 6, 11751\u201311759 (2018)","journal-title":"IEEE Access"}],"container-title":["Lecture Notes in Computer Science","Algorithms and Architectures for Parallel Processing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-05234-8_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,12,29]],"date-time":"2018-12-29T17:50:32Z","timestamp":1546105832000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-05234-8_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030052331","9783030052348"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-05234-8_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"ICA3PP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Algorithms and Architectures for Parallel Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guangzhou","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":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 November 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 November 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ica3pp2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/nsclab.org\/ica3pp2018\/authors.html","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"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"407","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"141","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"50","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"35% - 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"}},{"value":"2.3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"7.3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}