{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T15:49:12Z","timestamp":1725983352923},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319949642"},{"type":"electronic","value":"9783319949659"}],"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\/978-3-319-94965-9_17","type":"book-chapter","created":{"date-parts":[[2018,7,6]],"date-time":"2018-07-06T09:41:58Z","timestamp":1530870118000},"page":"165-172","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Prediction of Electricity Consumption for Residential Houses in New Zealand"],"prefix":"10.1007","author":[{"given":"Aziz","family":"Ahmad","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Timothy N.","family":"Anderson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Saeed Ur","family":"Rehman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,7,7]]},"reference":[{"key":"17_CR1","doi-asserted-by":"publisher","first-page":"1819","DOI":"10.1016\/j.rser.2008.09.033","volume":"13","author":"GS Lukas","year":"2009","unstructured":"Lukas, G.S., Ugursal, V.I.: Modeling of end-use energy consumption in the residential sector: a review of modelling techniques. Renew. Sustain. Energy Rev. 13, 1819\u20131835 (2009)","journal-title":"Renew. Sustain. Energy Rev."},{"key":"17_CR2","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1109\/35.76555","volume":"29","author":"B Flax","year":"1991","unstructured":"Flax, B.: Intelligent buildings. IEEE Commun. Mag. 29, 24\u201327 (1991)","journal-title":"IEEE Commun. Mag."},{"key":"17_CR3","doi-asserted-by":"publisher","first-page":"743","DOI":"10.1016\/j.ijepes.2010.01.009","volume":"32","author":"C Xia","year":"2010","unstructured":"Xia, C., Wang, J., McMenemy, K.: Short, medium and long term load forecasting model and virtual load forecaster based on radial basis function neural networks. Int. J. Electr. Power Energy Syst. 32, 743\u2013750 (2010)","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"17_CR4","doi-asserted-by":"publisher","first-page":"724","DOI":"10.1016\/j.cie.2009.01.018","volume":"57","author":"C Maia","year":"2009","unstructured":"Maia, C., Goncalves, M.: A methodology for short-term electric load forecasting based on specialized recursive digital filters. Comput. Ind. Eng. 57, 724\u2013731 (2009)","journal-title":"Comput. Ind. Eng."},{"key":"17_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1034","DOI":"10.1007\/978-3-642-01513-7_114","volume-title":"Advances in Neural Networks \u2013 ISNN 2009","author":"D Niu","year":"2009","unstructured":"Niu, D., Gu, Z., Zhang, Y.: An AFSA-TSGM based wavelet neural network for power load forecasting. In: Yu, W., He, H., Zhang, N. (eds.) ISNN 2009. LNCS, vol. 5553, pp. 1034\u20131043. Springer, Heidelberg (2009). \nhttps:\/\/doi.org\/10.1007\/978-3-642-01513-7_114"},{"key":"17_CR6","doi-asserted-by":"publisher","first-page":"1671","DOI":"10.1016\/S0360-5442(03)00153-1","volume":"28","author":"GKF Tso","year":"2003","unstructured":"Tso, G.K.F., Yau, K.K.W.: A study of domestic energy usage pattern in Hong Kong. Energy 28, 1671\u20131682 (2003)","journal-title":"Energy"},{"key":"17_CR7","doi-asserted-by":"publisher","first-page":"1043","DOI":"10.1016\/0360-5442(94)90092-2","volume":"19","author":"AZ Al-Garni","year":"1994","unstructured":"Al-Garni, A.Z., Zubair, S.M., Nizami, J.S.: A regression model for electric energy consumption forecasting in Eastern Saudi Arabia. Energy 19, 1043\u20131049 (1994)","journal-title":"Energy"},{"key":"17_CR8","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/S0360-5442(97)00053-4","volume":"23","author":"YY Yan","year":"1998","unstructured":"Yan, Y.Y.: Climate and residential electricity consumption in Hong Kong. Energy 23, 17\u201320 (1998)","journal-title":"Energy"},{"key":"17_CR9","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1016\/S0360-5442(98)00087-5","volume":"24","author":"M Ranjan","year":"1999","unstructured":"Ranjan, M., Jain, V.K.: Modelling of electrical energy consumption in Delhi. Energy 24, 351\u2013361 (1999)","journal-title":"Energy"},{"key":"17_CR10","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1016\/S0360-5442(01)00008-1","volume":"26","author":"F Egelioglu","year":"2001","unstructured":"Egelioglu, F., Mohamada, A.A., Guven, H.: Economic variables and electricity consumption in Northern Cyprus. Energy 26, 355\u2013362 (2001)","journal-title":"Energy"},{"key":"17_CR11","doi-asserted-by":"publisher","first-page":"1214","DOI":"10.1109\/59.99372","volume":"5","author":"LK Ho","year":"1990","unstructured":"Ho, L.K., Hsu, Y.Y., Chen, F.C., Lee, E.T., Liang, C.C., Lai, S.T., Chen, K.K.: Short term load forecasting of Taiwan power system using a knowledge-based expert system. IEEE Trans. Power Syst. 5, 1214\u20131221 (1990)","journal-title":"IEEE Trans. Power Syst."},{"key":"17_CR12","doi-asserted-by":"publisher","first-page":"508","DOI":"10.1109\/59.260833","volume":"8","author":"S Rahman","year":"1993","unstructured":"Rahman, S., Hazim, O.: A generalized knowledge-based short-term load-forecasting technique. IEEE Trans. Power Syst. 8, 508\u2013514 (1993)","journal-title":"IEEE Trans. Power Syst."},{"key":"17_CR13","doi-asserted-by":"publisher","first-page":"1484","DOI":"10.1109\/59.41700","volume":"4","author":"I Moghram","year":"1989","unstructured":"Moghram, I., Rahman, S.: Analysis and evaluation of five short-term load forecasting techniques. IEEE Trans. Power Syst. 4, 1484\u20131491 (1989)","journal-title":"IEEE Trans. Power Syst."},{"key":"17_CR14","first-page":"1413","volume":"13","author":"A Khotanzad","year":"1998","unstructured":"Khotanzad, A., Afhkhami-Rohani, R., Maratukulam, D.: ANNSTLF artificial neural network short-term load forecaster generation three. IEEE Trans. Neural Netw. 13, 1413\u20131422 (1998)","journal-title":"IEEE Trans. Neural Netw."},{"key":"17_CR15","first-page":"182","volume":"3","author":"D Eugen","year":"2008","unstructured":"Eugen, D.: The use of NARX neural networks to predict chaotic time series. WSEAS Trans. Comput. Res. 3, 182\u2013191 (2008)","journal-title":"WSEAS Trans. Comput. Res."},{"key":"17_CR16","doi-asserted-by":"publisher","first-page":"772","DOI":"10.1016\/j.rser.2013.08.055","volume":"33","author":"AK Yadav","year":"2014","unstructured":"Yadav, A.K., Chandel, S.S.: Solar radiation prediction using artificial neural network techniques: a review. Renew. Sustain. Energy Rev. 33, 772\u2013781 (2014)","journal-title":"Renew. Sustain. Energy Rev."},{"key":"17_CR17","unstructured":"National Institute of Water and Atmospheric Research. \nhttp:\/\/cliflo.niwa.co.nz\/\n\n. Accessed 10 Oct 2018"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Smart Grid and Innovative Frontiers in Telecommunications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-94965-9_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,7,6]],"date-time":"2018-07-06T09:53:36Z","timestamp":1530870816000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-94965-9_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319949642","9783319949659"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-94965-9_17","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2018]]}}}