{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T17:56:42Z","timestamp":1773079002033,"version":"3.50.1"},"reference-count":18,"publisher":"Springer Science and Business Media LLC","issue":"4-5","license":[{"start":{"date-parts":[[2006,10,10]],"date-time":"2006-10-10T00:00:00Z","timestamp":1160438400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2006,10,10]],"date-time":"2006-10-10T00:00:00Z","timestamp":1160438400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2007,5]]},"DOI":"10.1007\/s00521-006-0072-8","type":"journal-article","created":{"date-parts":[[2006,10,9]],"date-time":"2006-10-09T07:48:59Z","timestamp":1160380139000},"page":"465-470","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["A hierarchical neural model with time windows in long-term electrical load forecasting"],"prefix":"10.1007","volume":"16","author":[{"given":"Ot\u00e1vio A. S.","family":"Carpinteiro","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Isa\u00edas","family":"Lima","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rafael C.","family":"Leme","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonio C. Zambroni","family":"de Souza","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Edmilson M.","family":"Moreira","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carlos A. M.","family":"Pinheiro","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2006,10,10]]},"reference":[{"key":"72_CR1","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1016\/S0169-2070(00)00057-1","volume":"16","author":"S Makridakis","year":"2000","unstructured":"Makridakis S, Hibon M (2000) The M3-Competition: results, conclusions and implications. Int J Forecast 16:451\u2013476","journal-title":"Int J Forecast"},{"key":"72_CR2","unstructured":"Kangas J (1994) On the analysis of pattern sequences by self-organizing maps. PhD Thesis, Laboratory of Computer and Information Science, Helsinki University of Technology, Rakentajanaukio 2 C, SF-02150, Finland"},{"key":"72_CR3","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1016\/0893-6080(93)90011-K","volume":"6","author":"GJ Chappell","year":"1993","unstructured":"Chappell GJ, Taylor JG (1993) The temporal Kohonen map. Neural Netw 6:441\u2013445","journal-title":"Neural Netw"},{"issue":"2","key":"72_CR4","first-page":"139","volume":"10","author":"GA Barreto","year":"2001","unstructured":"Barreto GA, Ara\u00fajo AFR (2001) Time in self-organizing maps: an overview of models. Int J Comput Res Spec Issue Neural Netw Past Present Future 10(2):139\u2013179","journal-title":"Int J Comput Res Spec Issue Neural Netw Past Present Future"},{"issue":"2","key":"72_CR5","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1162\/089976601300014538","volume":"13","author":"SC Kremer","year":"2001","unstructured":"Kremer SC (2001) Spatio-temporal connectionist networks: a taxonomy and review. Neural Comput 13(2):249\u2013306","journal-title":"Neural Comput"},{"issue":"6","key":"72_CR6","doi-asserted-by":"publisher","first-page":"1255","DOI":"10.1162\/089976603321780281","volume":"15","author":"GA Barreto","year":"2003","unstructured":"Barreto GA, Ara\u00fajo AFR, Kremer SC (2003) A taxonomy for spatiotemporal connectionist networks revisited: the unsupervised case. Neural Comput 15(6):1255\u20131320","journal-title":"Neural Comput"},{"issue":"4","key":"72_CR7","doi-asserted-by":"publisher","first-page":"1956","DOI":"10.1109\/59.331456","volume":"9","author":"A Papalexopoulos","year":"1994","unstructured":"Papalexopoulos A, Hao S, Peng T (1994) An implementation of a neural network based load forecasting model for the EMS. IEEE Trans Power Syst 9(4):1956\u20131962","journal-title":"IEEE Trans Power Syst"},{"issue":"2","key":"72_CR8","doi-asserted-by":"publisher","first-page":"858","DOI":"10.1109\/59.496166","volume":"11","author":"A Bakirtzis","year":"1996","unstructured":"Bakirtzis A, Petridis V, Klartzis S, Alexiadis M, Maissis A (1996) A neural network short-term load forecasting model for the Greek power system. IEEE Trans Power Syst 11(2):858\u2013863","journal-title":"IEEE Trans Power Syst"},{"issue":"4","key":"72_CR9","doi-asserted-by":"publisher","first-page":"1413","DOI":"10.1109\/59.736285","volume":"13","author":"A Khotanzad","year":"1998","unstructured":"Khotanzad A, Afkhami-Rohani R, Maratukulam D (1998) ANNSTLF\u2014artificial neural network short-term load forecaster\u2014generation three. IEEE Trans Power Syst 13(4):1413\u20131422","journal-title":"IEEE Trans Power Syst"},{"issue":"1","key":"72_CR10","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1109\/59.910780","volume":"16","author":"H Hippert","year":"2001","unstructured":"Hippert H, Pedreira C, Souza R (2001) Neural networks for short-term load forecasting: a review and evaluation. IEEE Trans Power Syst 16(1):44\u201355","journal-title":"IEEE Trans Power Syst"},{"key":"72_CR11","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/S0925-2312(98)00073-3","volume":"23","author":"B Kermanshahi","year":"1998","unstructured":"Kermanshahi B (1998) Recurrent neural network for forecasting next 10\u00a0years load of nine Japanese utilities. Neurocomputing 23:125\u2013133","journal-title":"Neurocomputing"},{"key":"72_CR12","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-56927-2","volume-title":"Self-organizing maps","author":"T Kohonen","year":"2001","unstructured":"Kohonen T (2001) Self-organizing maps, 3rd edn. Springer, Berlin Heidelberg New York","edition":"3"},{"key":"72_CR13","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1023\/A:1011324221407","volume":"13","author":"IM 13 Galv\u00e1n","year":"2001","unstructured":"Galv\u00e1n IM, Isasi P (2001) Multi-step learning rule for recurrent neural models: an application to time series forecasting. Neural Process Lett 13:115\u2013133","journal-title":"Neural Process Lett"},{"key":"72_CR14","unstructured":"El-Sharkawi MA (2002) Internet web page http:\/\/www.ee.washington.edu\/class\/559\/2002spr\/"},{"key":"72_CR15","doi-asserted-by":"crossref","unstructured":"Lo Z, Bavarian B (1991) Improved rate of convergence in Kohonen neural network. In: Proceedings of the international joint conference on neural networks, vol 2, pp 201\u2013206","DOI":"10.1109\/IJCNN.1991.155338"},{"key":"72_CR16","unstructured":"Lo Z, Fujita M, Bavarian B (1991) Analysis of neighborhood interaction in Kohonen neural networks. In: Proceedings of the 5th international parallel processing symposium, pp 246\u2013249"},{"key":"72_CR17","doi-asserted-by":"crossref","unstructured":"Widrow G, Hoff ME (1960) Adaptive switching circuits. Institute of Radio Engineers, Western electronic show and convention, convention record, part 4","DOI":"10.21236\/AD0241531"},{"key":"72_CR18","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1037\/0033-295X.88.2.135","volume":"88","author":"RS Sutton","year":"1981","unstructured":"Sutton RS, Barto AG (1981) Toward a modern theory of adaptive networks: expectation and prediction. Psychol Rev 88:135\u2013170","journal-title":"Psychol Rev"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-006-0072-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-006-0072-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-006-0072-8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-006-0072-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,17]],"date-time":"2022-05-17T19:23:02Z","timestamp":1652815382000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-006-0072-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006,10,10]]},"references-count":18,"journal-issue":{"issue":"4-5","published-print":{"date-parts":[[2007,5]]}},"alternative-id":["72"],"URL":"https:\/\/doi.org\/10.1007\/s00521-006-0072-8","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2006,10,10]]},"assertion":[{"value":"30 March 2006","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 August 2006","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 October 2006","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}