{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T20:43:19Z","timestamp":1725914599683},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319685045"},{"type":"electronic","value":"9783319685052"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-68505-2_34","type":"book-chapter","created":{"date-parts":[[2017,10,30]],"date-time":"2017-10-30T01:08:03Z","timestamp":1509325683000},"page":"398-409","source":"Crossref","is-referenced-by-count":5,"title":["Unsupervised Energy Disaggregation of Home Appliances"],"prefix":"10.1007","author":[{"given":"Kondwani M.","family":"Kamoto","sequence":"first","affiliation":[]},{"given":"Qi","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Xiaodong","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,10,31]]},"reference":[{"key":"34_CR1","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/j.enbuild.2013.07.045","volume":"66","author":"J Chen","year":"2013","unstructured":"Chen, J., Wang, X., Steemers, K.: A statistical analysis of a residential energy consumption survey study in Hangzhou, China. Energy Build. 66, 193\u2013202 (2013). Science Direct","journal-title":"Energy Build."},{"key":"34_CR2","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1016\/j.enpol.2014.07.016","volume":"75","author":"X Zheng","year":"2014","unstructured":"Zheng, X., Wei, C., Qin, P., Guo, J., Yihua, Yu., Song, F., Chen, Z.: Characteristics of residential energy consumption in China: findings from a household survey. Energy Policy 75, 126\u2013135 (2014). Science Direct","journal-title":"Energy Policy"},{"issue":"1","key":"34_CR3","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1109\/TCE.2013.6490242","volume":"59","author":"Q Liu","year":"2013","unstructured":"Liu, Q., Cooper, G., Linge, N.: DEHEMS: creating a digital environment for large-scale energy management at homes. IEEE Trans. Consum. Electron. 59(1), 62\u201389 (2013)","journal-title":"IEEE Trans. Consum. Electron."},{"key":"34_CR4","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/j.eneco.2015.11.007","volume":"54","author":"J Lynham","year":"2016","unstructured":"Lynham, J., Nitta, K., Saijo, T., Tarui, N.: Why does real-time information reduce energy consumption? Energy Econ. 54, 173\u2013181 (2016). Science Direct","journal-title":"Energy Econ."},{"key":"34_CR5","unstructured":"Deloitte: Deloitte Resources 2016 Study \u2013 Energy Management: Navigating the Headwinds, pp. 7\u201317 (2016)"},{"issue":"12","key":"34_CR6","doi-asserted-by":"crossref","first-page":"1870","DOI":"10.1109\/5.192069","volume":"80","author":"GW Hart","year":"1992","unstructured":"Hart, G.W.: Nonintrusive appliance load monitoring. Proc. IEEE 80(12), 1870\u20131891 (1992)","journal-title":"Proc. IEEE"},{"key":"34_CR7","doi-asserted-by":"crossref","first-page":"1784","DOI":"10.1109\/ACCESS.2016.2557460","volume":"4","author":"B Zhao","year":"2016","unstructured":"Zhao, B., Stankovic, L., Stankovic, V.: On a training-less solution for non-intrusive appliance load monitoring using graph signal processing. IEEE Access 4, 1784\u20131799 (2016)","journal-title":"IEEE Access"},{"key":"34_CR8","doi-asserted-by":"crossref","unstructured":"Srinivasarengan, K., Goutam, Y.G., Chandra, M.G., Kadhe, S.: A framework for non-intrusive load monitoring using Bayesian inference. In: 2013 Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, pp. 427\u2013432 (2013)","DOI":"10.1109\/IMIS.2013.78"},{"key":"34_CR9","doi-asserted-by":"crossref","unstructured":"Henao, N., Agbossou, K., Kelouwani, S., Dub\u00e9, Y., Fournier, M.: Approach in nonintrusive type I load monitoring using subtractive clustering. IEEE Trans. Smart Grid PP(99) (2015)","DOI":"10.1109\/TSG.2015.2462719"},{"key":"34_CR10","doi-asserted-by":"crossref","unstructured":"Egarter, D., Elmenreich, W.: Autonomous load disaggregation approach based on active power measurements. In: 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), pp. 293\u2013298 (2015)","DOI":"10.1109\/PERCOMW.2015.7134051"},{"key":"34_CR11","doi-asserted-by":"crossref","unstructured":"Jia, R., Gao, Y., Spanos, C.J.: A fully unsupervised non-intrusive load monitoring framework. In: 2015 IEEE International Conference on Smart Grid Communications (SmartGridComm) (2015)","DOI":"10.1109\/SmartGridComm.2015.7436411"},{"key":"34_CR12","doi-asserted-by":"crossref","unstructured":"Heracleous, P., Angkititrakul, P., Kitaoka, N., Takeda, K.: Unsupervised energy disaggregation using conditional random fields. In: IEEE PES Innovative Smart Grid Technologies, Europe, pp. 1\u20135 (2014)","DOI":"10.1109\/ISGTEurope.2014.7028933"},{"key":"34_CR13","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/j.aei.2014.09.004","volume":"28","author":"F Jazizadeh","year":"2014","unstructured":"Jazizadeh, F., Becerik-Gerber, B., Berges, M., Soibelman, L.: An unsupervised hierarchical clustering based heuristic algorithm for facilitated training of electricity consumption disaggregation systems. Adv. Eng. Inform. 28, 311\u2013326 (2014). Elsevier","journal-title":"Adv. Eng. Inform."},{"key":"34_CR14","unstructured":"Barsim, K.S., Streubel, R., Yang, B.: An approach for unsupervised non-intrusive load monitoring of residential appliances. In: 2nd Non-Intrusive Load Monitoring (NILM) Workshop 2014, Austin (2014)"},{"key":"34_CR15","doi-asserted-by":"crossref","unstructured":"Bonfigli, R., Squartini, S., Fagiani, M., Piazza, F.: Unsupervised algorithms for non-intrusive load monitoring: an up-to-date overview. In: 2015 IEEE 15th International Conference on Environmental and Electrical Engineering (EEEIC), pp. 1175\u20131180 (2015)","DOI":"10.1109\/EEEIC.2015.7165334"},{"issue":"7","key":"34_CR16","doi-asserted-by":"crossref","first-page":"1109","DOI":"10.1016\/S0031-3203(96)00140-9","volume":"30","author":"H Frigui","year":"1997","unstructured":"Frigui, H., Krishnapuram, R.: Clustering by competitive agglomeration. Pattern Recogn. 30(7), 1109\u20131119 (1997)","journal-title":"Pattern Recogn."},{"key":"34_CR17","unstructured":"Zico Kolter, J., Johnson, M.J.: REDD: a public data set for energy disaggregation re-search. In: Proceedings of the SustKDD workshop on Data Mining Applications in Sustainability (2011)"},{"key":"34_CR18","unstructured":"Kolter, J.Z., Jaakkola, T.: Approximate inference in additive factorial HMMs with application to energy disaggregation. In: AISTATS. JMLR Proceedings, vol. 22, pp. 1472\u20131482 (2012)"},{"key":"34_CR19","unstructured":"Jing, L., Elafoudi, G., Stankovic, L., Stankovic, V.: Power disaggregation for low-sampling rate data. In: Proceedings of the 2nd International Workshop on Non-Intrusive Load Monitoring (2014)"},{"issue":"1","key":"34_CR20","first-page":"673","volume":"14","author":"MJ Johnson","year":"2013","unstructured":"Johnson, M.J., Willsky, A.S.: Bayesian nonparametric hidden semi-markov models. J. Mach. Learn. Res. 14(1), 673\u2013701 (2013)","journal-title":"J. Mach. Learn. Res."},{"key":"34_CR21","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/j.enbuild.2015.12.043","volume":"116","author":"M Aiad","year":"2016","unstructured":"Aiad, M., Lee, P.H.: Unsupervised approach for load disaggregation with devices interactions\u2019. Energy Build. 116, 96\u2013103 (2016)","journal-title":"Energy Build."}],"container-title":["Lecture Notes in Computer Science","Cloud Computing and Security"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-68505-2_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,5]],"date-time":"2019-10-05T09:14:35Z","timestamp":1570266875000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-68505-2_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319685045","9783319685052"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-68505-2_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}