{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,26]],"date-time":"2025-09-26T04:43:56Z","timestamp":1758861836302,"version":"3.41.0"},"publisher-location":"Cham","reference-count":34,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319754192"},{"type":"electronic","value":"9783319754208"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","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\/978-3-319-75420-8_21","type":"book-chapter","created":{"date-parts":[[2018,2,13]],"date-time":"2018-02-13T11:13:28Z","timestamp":1518520408000},"page":"224-234","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["DeepEnergy: Prediction of Appliances Energy with Long-Short Term Memory Recurrent Neural Network"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9724-8955","authenticated-orcid":false,"given":"Erdenebileg","family":"Batbaatar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1450-291X","authenticated-orcid":false,"given":"Hyun Woo","family":"Park","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4297-0844","authenticated-orcid":false,"given":"Dingkun","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3931-7905","authenticated-orcid":false,"given":"Meijing","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0394-9054","authenticated-orcid":false,"given":"Keun Ho","family":"Ryu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,2,14]]},"reference":[{"issue":"15","key":"21_CR1","doi-asserted-by":"publisher","first-page":"2787","DOI":"10.1016\/j.comnet.2010.05.010","volume":"54","author":"L Atzori","year":"2010","unstructured":"Atzori, L., Iera, A., Morabito, G.: The internet of things: a survey. Comput. Netw. 54(15), 2787\u20132805 (2010)","journal-title":"Comput. Netw."},{"doi-asserted-by":"crossref","unstructured":"Rollins, S., Banerjee, N.: Using rule mining to understand appliance energy consumption patterns. In: 2014 IEEE International Conference on Pervasive Computing and Communications (PerCom), pp. 29\u201337. IEEE (2014)","key":"21_CR2","DOI":"10.1109\/PerCom.2014.6813940"},{"doi-asserted-by":"crossref","unstructured":"Irwin, G., Banerjee, N., Hurst, A., Rollins, S.: Contextual insights into home energy relationships. In: 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), pp. 305\u2013310. IEEE (2015)","key":"21_CR3","DOI":"10.1109\/PERCOMW.2015.7134053"},{"doi-asserted-by":"crossref","unstructured":"Han, D.M., Lim, J.H.: Smart home energy management system using IEEE 802.15. 4 and zigbee. IEEE Trans. Consum. Electron. 56(3) (2010)","key":"21_CR4","DOI":"10.1109\/TCE.2010.5606276"},{"issue":"5","key":"21_CR5","doi-asserted-by":"publisher","first-page":"926","DOI":"10.1016\/j.enbuild.2007.07.005","volume":"40","author":"S Firth","year":"2008","unstructured":"Firth, S., Lomas, K., Wright, A., Wall, R.: Identifying trends in the use of domestic appliances from household electricity consumption measurements. Energy Build. 40(5), 926\u2013936 (2008)","journal-title":"Energy Build."},{"key":"21_CR6","doi-asserted-by":"publisher","first-page":"390","DOI":"10.1016\/j.solener.2014.03.021","volume":"105","author":"F Spertino","year":"2014","unstructured":"Spertino, F., Di Leo, P., Cocina, V.: Which are the constraints to the photovoltaic grid-parity in the main European markets? Sol. Energy 105, 390\u2013400 (2014)","journal-title":"Sol. Energy"},{"issue":"1","key":"21_CR7","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1016\/j.enbuild.2006.03.033","volume":"39","author":"JE Seem","year":"2007","unstructured":"Seem, J.E.: Using intelligent data analysis to detect abnormal energy consumption in buildings. Energy Build. 39(1), 52\u201358 (2007)","journal-title":"Energy Build."},{"doi-asserted-by":"crossref","unstructured":"Barbato, A., Capone, A., Rodolfi, M., Tagliaferri, D.: Forecasting the usage of household appliances through power meter sensors for demand management in the smart grid. In: 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm), pp. 404\u2013409. IEEE (2011)","key":"21_CR8","DOI":"10.1109\/SmartGridComm.2011.6102356"},{"issue":"1","key":"21_CR9","doi-asserted-by":"publisher","first-page":"322","DOI":"10.1109\/TIA.2012.2229682","volume":"49","author":"P Zhao","year":"2013","unstructured":"Zhao, P., Suryanarayanan, S., Sim\u00f5es, M.G.: An energy management system for building structures using a multi-agent decision-making control methodology. IEEE Trans. Ind. Appl. 49(1), 322\u2013330 (2013)","journal-title":"IEEE Trans. Ind. Appl."},{"issue":"9","key":"21_CR10","doi-asserted-by":"publisher","first-page":"2338","DOI":"10.1016\/j.solener.2011.06.028","volume":"85","author":"M Castillo-Cagigal","year":"2011","unstructured":"Castillo-Cagigal, M., Caamano-Mart\u00edn, E., Matallanas, E., Masa-Bote, D., Guti\u00e9rrez, A., Monasterio-Huelin, F., Jim\u00e9nez-Leube, J.: PV self-consumption optimization with storage and active DSM for the residential sector. Sol. Energy 85(9), 2338\u20132348 (2011)","journal-title":"Sol. Energy"},{"key":"21_CR11","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"372","DOI":"10.1007\/978-3-642-13208-7_47","volume-title":"Artificial Intelligence and Soft Computing","author":"L Hawarah","year":"2010","unstructured":"Hawarah, L., Ploix, S., Jacomino, M.: User behavior prediction in energy consumption in housing using Bayesian networks. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2010. LNCS (LNAI), vol. 6113, pp. 372\u2013379. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-13208-7_47"},{"key":"21_CR12","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.enbuild.2017.01.083","volume":"140","author":"LM Candanedo","year":"2017","unstructured":"Candanedo, L.M., Feldheim, V., Deramaix, D.: Data driven prediction models of energy use of appliances in a low-energy house. Energy Build. 140, 81\u201397 (2017)","journal-title":"Energy Build."},{"key":"21_CR13","doi-asserted-by":"crossref","DOI":"10.1201\/b10342","volume-title":"Energy Audit of Building Systems: An Engineering Approach","author":"M Krarti","year":"2016","unstructured":"Krarti, M.: Energy Audit of Building Systems: An Engineering Approach. CRC Press, Boca Raton (2016)"},{"issue":"1","key":"21_CR14","doi-asserted-by":"publisher","first-page":"267","DOI":"10.3763\/aber.2009.0408","volume":"4","author":"AI Dounis","year":"2010","unstructured":"Dounis, A.I.: Artificial intelligence for energy conservation in buildings. Adv. Build. Energy Res. 4(1), 267\u2013299 (2010)","journal-title":"Adv. Build. Energy Res."},{"key":"21_CR15","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1016\/j.rser.2013.03.004","volume":"23","author":"A Foucquier","year":"2013","unstructured":"Foucquier, A., Robert, S., Suard, F., St\u00e9phan, L., Jay, A.: State of the art in building modelling and energy performances prediction: a review. Renew. Sustain. Energy Rev. 23, 272\u2013288 (2013)","journal-title":"Renew. Sustain. Energy Rev."},{"issue":"6","key":"21_CR16","doi-asserted-by":"publisher","first-page":"3586","DOI":"10.1016\/j.rser.2012.02.049","volume":"16","author":"HX Zhao","year":"2012","unstructured":"Zhao, H.X., Magoul\u00e8s, F.: A review on the prediction of building energy consumption. Renew. Sustain. Energy Rev. 16(6), 3586\u20133592 (2012)","journal-title":"Renew. Sustain. Energy Rev."},{"issue":"1","key":"21_CR17","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1109\/TPWRS.2011.2162082","volume":"27","author":"S Fan","year":"2012","unstructured":"Fan, S., Hyndman, R.J.: Short-term load forecasting based on a semi-parametric additive model. IEEE Trans. Power Syst. 27(1), 134\u2013141 (2012)","journal-title":"IEEE Trans. Power Syst."},{"issue":"4","key":"21_CR18","doi-asserted-by":"publisher","first-page":"627","DOI":"10.1016\/j.ijforecast.2010.02.009","volume":"26","author":"JW Taylor","year":"2010","unstructured":"Taylor, J.W.: Exponentially weighted methods for forecasting intraday time series with multiple seasonal cycles. Int. J. Forecast. 26(4), 627\u2013646 (2010)","journal-title":"Int. J. Forecast."},{"issue":"496","key":"21_CR19","doi-asserted-by":"publisher","first-page":"1513","DOI":"10.1198\/jasa.2011.tm09771","volume":"106","author":"AM De Livera","year":"2011","unstructured":"De Livera, A.M., Hyndman, R.J., Snyder, R.D.: Forecasting time series with complex seasonal patterns using exponential smoothing. J. Am. Stat. Assoc. 106(496), 1513\u20131527 (2011)","journal-title":"J. Am. Stat. Assoc."},{"issue":"4","key":"21_CR20","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1016\/j.apenergy.2006.09.012","volume":"85","author":"M Aydinalp-Koksal","year":"2008","unstructured":"Aydinalp-Koksal, M., Ugursal, V.I.: Comparison of neural network, conditional demand analysis, and engineering approaches for modeling end-use energy consumption in the residential sector. Appl. Energy 85(4), 271\u2013296 (2008)","journal-title":"Appl. Energy"},{"key":"21_CR21","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1016\/j.segan.2015.03.003","volume":"2","author":"LA Hurtado","year":"2015","unstructured":"Hurtado, L.A., Nguyen, P.H., Kling, W.L.: Smart grid and smart building inter-operation using agent-based particle swarm optimization. Sustain. Energy Grids Netw. 2, 32\u201340 (2015)","journal-title":"Sustain. Energy Grids Netw."},{"doi-asserted-by":"crossref","unstructured":"Xuemei, L., Lixing, D., Jinhu, L., Gang, X., Jibin, L.: A novel hybrid approach of KPCA and SVM for building cooling load prediction. In: Third International Conference on Knowledge Discovery and Data Mining, WKDD 2010, pp. 522\u2013526. IEEE (2010)","key":"21_CR22","DOI":"10.1109\/WKDD.2010.137"},{"issue":"2","key":"21_CR23","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1016\/j.apenergy.2009.06.028","volume":"87","author":"SL Wong","year":"2010","unstructured":"Wong, S.L., Wan, K.K., Lam, T.N.: Artificial neural networks for energy analysis of office buildings with daylighting. Appl. Energy 87(2), 551\u2013557 (2010)","journal-title":"Appl. Energy"},{"issue":"3","key":"21_CR24","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1093\/ijlct\/1.3.201","volume":"1","author":"SA Kalogirou","year":"2006","unstructured":"Kalogirou, S.A.: Artificial neural networks in energy applications in buildings. Int. J. Low-Carbon Technol. 1(3), 201\u2013216 (2006)","journal-title":"Int. J. Low-Carbon Technol."},{"issue":"12","key":"21_CR25","doi-asserted-by":"publisher","first-page":"1250","DOI":"10.1016\/j.enbuild.2005.02.005","volume":"37","author":"J Yang","year":"2005","unstructured":"Yang, J., Rivard, H., Zmeureanu, R.: On-line building energy prediction using adaptive artificial neural networks. Energy Build. 37(12), 1250\u20131259 (2005)","journal-title":"Energy Build."},{"key":"21_CR26","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/j.segan.2016.02.005","volume":"6","author":"E Mocanu","year":"2016","unstructured":"Mocanu, E., Nguyen, P.H., Gibescu, M., Kling, W.L.: Deep learning for estimating building energy consumption. Sustain. Energy Grids Netw. 6, 91\u201399 (2016)","journal-title":"Sustain. Energy Grids Netw."},{"issue":"8","key":"21_CR27","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."},{"issue":"7553","key":"21_CR28","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521(7553), 436\u2013444 (2015)","journal-title":"Nature"},{"issue":"8","key":"21_CR29","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."},{"issue":"2","key":"21_CR30","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1109\/72.279181","volume":"5","author":"Y Bengio","year":"1994","unstructured":"Bengio, Y., Simard, P., Frasconi, P.: Learning long-term dependencies with gradient descent is difficult. IEEE Trans. Neural Networks 5(2), 157\u2013166 (1994)","journal-title":"IEEE Trans. Neural Networks"},{"issue":"1","key":"21_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/2200000006","volume":"2","author":"Y Bengio","year":"2009","unstructured":"Bengio, Y.: Learning deep architectures for AI. Foundations and trends\u00ae. Mach. Learn. 2(1), 1\u2013127 (2009)","journal-title":"Mach. Learn."},{"doi-asserted-by":"crossref","unstructured":"Bengio, Y., Lamblin, P., Popovici, D., Larochelle, H.: Greedy layer-wise training of deep networks. In: Advances in Neural Information Processing Systems, pp. 153\u2013160 (2007)","key":"21_CR32","DOI":"10.7551\/mitpress\/7503.003.0024"},{"key":"21_CR33","doi-asserted-by":"publisher","first-page":"668","DOI":"10.1016\/j.enbuild.2013.02.008","volume":"67","author":"K Basu","year":"2013","unstructured":"Basu, K., Hawarah, L., Arghira, N., Joumaa, H., Ploix, S.: A prediction system for home appliance usage. Energy Build. 67, 668\u2013679 (2013)","journal-title":"Energy Build."},{"doi-asserted-by":"crossref","unstructured":"Li, D., Park, H.W., Ishag, M.I.M., Batbaatar, E., Ryu, K.H.: Design and partial implementation of health care system for disease detection and behavior analysis by using DM techniques. In: 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, 14th International Conference on Pervasive Intelligence and Computing, 2nd International Conference on Big Data Intelligence and Computing and Cyber Science and Technology Congress (DASC\/PiCom\/DataCom\/CyberSciTech), pp. 781\u2013786. IEEE, August 2016","key":"21_CR34","DOI":"10.1109\/DASC-PICom-DataCom-CyberSciTec.2016.136"}],"container-title":["Lecture Notes in Computer Science","Intelligent Information and Database Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-75420-8_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T19:55:41Z","timestamp":1751399741000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-75420-8_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319754192","9783319754208"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-75420-8_21","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":"14 February 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACIIDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Conference on Intelligent Information and Database Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Dong Hoi City","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vietnam","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":"19 March 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 March 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aciids2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aciids.pwr.edu.pl\/2018\/index.php#about","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}