{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T10:06:23Z","timestamp":1744193183786},"reference-count":19,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2009,8,4]],"date-time":"2009-08-04T00:00:00Z","timestamp":1249344000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2009,11]]},"DOI":"10.1007\/s00521-009-0290-y","type":"journal-article","created":{"date-parts":[[2009,8,3]],"date-time":"2009-08-03T10:28:00Z","timestamp":1249295280000},"page":"1057-1063","source":"Crossref","is-referenced-by-count":5,"title":["A hierarchical hybrid neural model with time integrators in long-term load forecasting"],"prefix":"10.1007","volume":"18","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":"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"}]},{"given":"Enzo","family":"Seraphim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J. Vantuil L.","family":"Pinto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2009,8,4]]},"reference":[{"key":"290_CR1","doi-asserted-by":"crossref","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":"290_CR2","unstructured":"Kangas J (1994) On the analysis of pattern sequences by self-organizing maps. Ph.D. thesis, Laboratory of Computer and Information Science, Helsinki University of Technology, Rakentajanaukio 2 C, SF-02150, Finland"},{"key":"290_CR3","doi-asserted-by":"crossref","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":"290_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":"290_CR5","doi-asserted-by":"crossref","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":"290_CR6","doi-asserted-by":"crossref","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":"290_CR7","doi-asserted-by":"crossref","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":"290_CR8","doi-asserted-by":"crossref","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":"290_CR9","doi-asserted-by":"crossref","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":"290_CR10","doi-asserted-by":"crossref","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":"290_CR11","doi-asserted-by":"crossref","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":"290_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","edition":"3rd"},{"key":"290_CR13","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1023\/A:1011324221407","volume":"13","author":"IM 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":"290_CR14","doi-asserted-by":"crossref","unstructured":"Carpinteiro OAS, Leme RC, Souza ACZ, Filho PSQ (2005) A hierarchical hybrid neural model with time integrators in long-term peak-load forecasting. In: International joint conference on neural networks (IJCNN), Montr\u00e9al, Canada, August 2005","DOI":"10.1109\/IJCNN.2005.1556396"},{"key":"290_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, 8\u201312 July","DOI":"10.1109\/IJCNN.1991.155338"},{"key":"290_CR16","unstructured":"Lo Z, Fujita M, Bavarian B (1991) Analysis of neighborhood interaction in Kohonen neural networks. In: Proceedings of the fifth international parallel processing symposium, pp 246\u2013249, April 1991"},{"key":"290_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":"290_CR18","doi-asserted-by":"crossref","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"},{"key":"290_CR19","unstructured":"El-Sharkawi MA (2002) Internet web page http:\/\/www.ee.washington.edu\/class\/559\/2002spr\/"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-009-0290-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-009-0290-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-009-0290-y","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T02:06:59Z","timestamp":1559095619000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-009-0290-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,8,4]]},"references-count":19,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2009,11]]}},"alternative-id":["290"],"URL":"https:\/\/doi.org\/10.1007\/s00521-009-0290-y","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2009,8,4]]}}}