{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T22:18:46Z","timestamp":1725574726843},"publisher-location":"Berlin, Heidelberg","reference-count":18,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540262084"},{"type":"electronic","value":"9783540321064"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005]]},"DOI":"10.1007\/11494669_125","type":"book-chapter","created":{"date-parts":[[2011,1,13]],"date-time":"2011-01-13T14:48:09Z","timestamp":1294930089000},"page":"1018-1026","source":"Crossref","is-referenced-by-count":21,"title":["Load Forecasting Using Fixed-Size Least Squares Support Vector Machines"],"prefix":"10.1007","author":[{"given":"Marcelo","family":"Espinoza","sequence":"first","affiliation":[]},{"given":"Johan A. K.","family":"Suykens","sequence":"additional","affiliation":[]},{"given":"Bart","family":"De Moor","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"125_CR1","volume-title":"An introduction to Support Vector Machines","author":"N. Cristianini","year":"2000","unstructured":"Cristianini, N., Shawe-Taylor, J.: An introduction to Support Vector Machines. Cambridge University Press, Cambridge (2000)"},{"issue":"394","key":"125_CR2","doi-asserted-by":"publisher","first-page":"310","DOI":"10.2307\/2289218","volume":"81","author":"R. Engle","year":"1986","unstructured":"Engle, R., Granger, C.J., Rice, J., Weiss, A.: Semiparametric Estimates of the Relation Between Weather and Electricity Sales. Journal of the American Statistical Association\u00a081(394), 310\u2013320 (1986)","journal-title":"Journal of the American Statistical Association"},{"key":"125_CR3","doi-asserted-by":"crossref","unstructured":"Espinoza, M., Suykens, J.A.K., De Moor, B.: Least Squares Support Vector Machines and Primal Space Estimation. In: Proc. of the IEEE 42nd Conference on Decision and Control, Maui, USA, pp. 3451\u20133456 (2003)","DOI":"10.1109\/CDC.2003.1271680"},{"key":"125_CR4","unstructured":"Espinoza, M., Joye, C., Belmans, R., De Moor, B.: Short Term Load Forecasting, Profile Identification and Customer Segmentation: A Methodology based on periodic time series, Internal Report 04-141, ESAT-SISTA, K.U.Leuven (2004)"},{"key":"125_CR5","unstructured":"Espinoza, M., Suykens, J.A.K., De Moor, B.: Fixed Size Least Squares Support Vector Machines: A Large Scale Application in Electrical Load Forecasting, Internal Report 03-92, ESAT-SISTA, K.U.Leuven (2003)"},{"key":"125_CR6","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1016\/S0925-2312(03)00390-4","volume":"55","author":"D. Fay","year":"2003","unstructured":"Fay, D., Ringwood, J., Condon, M., Kelly, M.: 24-h Electrical Load Data-A Sequential or Partitioned Time Series? Neurocomputing\u00a055, 469\u2013498 (2003)","journal-title":"Neurocomputing"},{"issue":"3","key":"125_CR7","doi-asserted-by":"publisher","first-page":"669","DOI":"10.1162\/089976602317250942","volume":"14","author":"M. Girolami","year":"2003","unstructured":"Girolami, M.: Orthogonal Series Density Estimation and the Kernel Eigenvalue Problem. Neural Computation\u00a014(3), 669\u2013688 (2003)","journal-title":"Neural Computation"},{"key":"125_CR8","doi-asserted-by":"publisher","first-page":"215","DOI":"10.2307\/1268518","volume":"21","author":"G. Golub","year":"1979","unstructured":"Golub, G., Heath, M., Wahba, G.: Generalized cross-validation: A method for choosing a good ridge regression parameter. Technometrics\u00a021, 215\u2013223 (1979)","journal-title":"Technometrics"},{"key":"125_CR9","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198773177.001.0001","volume-title":"Modelling Seasonality","author":"S. Hylleberg","year":"1992","unstructured":"Hylleberg, S.: Modelling Seasonality. Oxford University Press, Oxford (1992)"},{"key":"125_CR10","volume-title":"Systems Identification: Theory for the User","author":"L. Ljung","year":"1999","unstructured":"Ljung, L.: Systems Identification: Theory for the User. Prentice Hall, Englewood Cliffs (1999)"},{"key":"125_CR11","first-page":"698","volume":"4","author":"D.J.C. MacKay","year":"1992","unstructured":"MacKay, D.J.C.: The evidence framework applied to classification networks. Neural Computation\u00a04, 698\u2013714 (1992)","journal-title":"Neural Computation"},{"key":"125_CR12","series-title":"Advances in Industrial Control","volume-title":"Advanced Load Dispatch for Power Systems","author":"E. Mariani","year":"1997","unstructured":"Mariani, E., Murthy, S.S.: Advanced Load Dispatch for Power Systems. Advances in Industrial Control. Springer, Heidelberg (1997)"},{"key":"125_CR13","doi-asserted-by":"crossref","unstructured":"Ramanathan, R., Engle, R., Granger, C.W.J., Vahid-Aragui, F., Brace, C.: Short-run Forecasts of Electricity Load and Peaks. Int. J. of Forecasting\u00a013 (1997)","DOI":"10.1016\/S0169-2070(97)00015-0"},{"key":"125_CR14","doi-asserted-by":"crossref","unstructured":"Steinherz, H., Pedreira, C., Castro, R.: Neural Networks for Short-Term Load Forecasting: A Review and Evaluation. IEEE Trans. Power Syst.\u00a016(1) (2001)","DOI":"10.1109\/59.910780"},{"key":"125_CR15","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1023\/A:1018628609742","volume":"9","author":"J.A.K. Suykens","year":"1999","unstructured":"Suykens, J.A.K., Vandewalle, J.: Least Squares Support Vector Machines Classifiers. Neural Processing Letters\u00a09, 293\u2013300 (1999)","journal-title":"Neural Processing Letters"},{"key":"125_CR16","doi-asserted-by":"publisher","DOI":"10.1142\/9789812776655","volume-title":"Least Squares Support Vector Machines","author":"J.A.K. Suykens","year":"2002","unstructured":"Suykens, J.A.K., Van Gestel, T., De Brabanter, J., De Moor, B., Vandewalle, J.: Least Squares Support Vector Machines. World Scientific, Singapore (2002)"},{"key":"125_CR17","volume-title":"Statistical Learning Theory","author":"V. Vapnik","year":"1998","unstructured":"Vapnik, V.: Statistical Learning Theory. John Wiley & Sons, New York (1998)"},{"key":"125_CR18","volume-title":"Proc. NIPS 2000","author":"C.K.I. Williams","year":"2000","unstructured":"Williams, C.K.I., Seeger, M.: Using the Nystr\u00f6m Method to Speed Up Kernel Machines. In: Leen, T., Dietterich, T., Tresp, V. (eds.) Proc. NIPS 2000, vol.\u00a013, MIT press, Cambridge (2000)"}],"container-title":["Lecture Notes in Computer Science","Computational Intelligence and Bioinspired Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11494669_125","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,3]],"date-time":"2024-04-03T01:54:40Z","timestamp":1712109280000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11494669_125"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005]]},"ISBN":["9783540262084","9783540321064"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/11494669_125","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2005]]}}}