{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,20]],"date-time":"2025-01-20T09:10:01Z","timestamp":1737364201784,"version":"3.33.0"},"publisher-location":"Berlin, Heidelberg","reference-count":13,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540001317"},{"type":"electronic","value":"9783540361312"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2002]]},"DOI":"10.1007\/3-540-36131-6_53","type":"book-chapter","created":{"date-parts":[[2007,8,12]],"date-time":"2007-08-12T05:42:30Z","timestamp":1186897350000},"page":"519-525","source":"Crossref","is-referenced-by-count":1,"title":["Machine Learning Models for Online Dynamic Security Assessment of Electric Power Systems"],"prefix":"10.1007","author":[{"given":"Claudio M.","family":"Rocco","sequence":"first","affiliation":[]},{"given":"Jos\u00e9 A.","family":"Moreno","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2002,11,5]]},"reference":[{"key":"53_CR1","doi-asserted-by":"crossref","unstructured":"Sobajic D.J., Pao Y.: \u201cOn-Line Transient Stability Evaluation by Associative Dichotomous Classification\u201d, IEEE Transaction on Power Systems, Vol 4, Feb. 1989","DOI":"10.1109\/59.32481"},{"key":"53_CR2","unstructured":"Mitchell M., Pe\u00e7as Lopes J.A., Fidalgo J.N., McCalley J.: \u201cUsing a Neural Network to Predict the Dynamic Frequency Response of a Power System to an Under-Frequency Load Shedding Scenario\u201d, IEEE Summer Meeting, 2000"},{"key":"53_CR3","unstructured":"Hatziargyriou N., Pe\u00e7as Lopes J.A., Karapidakis E., Vasconcelos M.H.: \u201cOn-Line Dynamic Security Assessment of Power Systems in Large Islands with High Wind Power Penetration\u201d, PSCC\u201999, 13th Power System Computational Conference, Vol 1, Trondheim, Norway, June 1999"},{"key":"53_CR4","doi-asserted-by":"crossref","unstructured":"Hatziargyriou N., Papathanassiou S., Papadopulos M.: \u201cDecision Trees for Fast Security Assessment of Autonomous Power Systems with large Penetration from Renewables\u201d, IEEE Transaction on Energy Conversion, Vol. 10, No. 2, June 1995","DOI":"10.1109\/60.391898"},{"key":"53_CR5","unstructured":"Vasconcelos M.H., Pe\u00e7as Lopes J.A.: \u201cPruning Kernel Regression Trees for Security Assessment of the Crete Network\u201d, ACAI\u201999, Workshop on Application of Machine Learning, July 1999"},{"key":"53_CR6","unstructured":"Burges C.: \u201cA tutorial on Support Vector Machines for Patter Recognition\u201d, http:\/\/www.kernel-machines.org\/"},{"key":"53_CR7","unstructured":"Cristianini N., Shawe-Taylor J.: \u201cAn introduction to Support Vector Machines\u201d, Cambridge University Press, 2000"},{"key":"53_CR8","unstructured":"Campbell C.: \u201cKernel Methods: A survey of Current Techniques\u201d, http:\/\/www.kernelmachines.org\/"},{"key":"53_CR9","first-page":"31","volume-title":"Radial Basis Function Networks: Design and Applications","author":"C. Campbell","year":"2000","unstructured":"Campbell C.: \u201cAn Introduction to Kernel Methods\u201d, In R.J. Howlett and L.C. Jain, editors, Radial Basis Function Networks: Design and Applications, page 31. Springer-Verlag, Berlin, 2000"},{"key":"53_CR10","unstructured":"Sch\u00f6lkopf B.: Statistical Learning and Kernel Methods, http:\/\/research.Microsoft.com\/~bsc"},{"key":"53_CR11","unstructured":"Platt J.:\u201cFast Training of Support Vector Machines using Sequential Minimal Optimization\u201d, http:\/\/www.research.microsoft.com\/~jplatt"},{"key":"53_CR12","volume-title":"Introduction to the Theory of Neural Computation","author":"J. Hertz","year":"1991","unstructured":"Hertz J., Krogh A., Palmer R.: \u201cIntroduction to the Theory of Neural Computation\u201d, Addison-Wesley, Redwood City, 1991"},{"key":"53_CR13","unstructured":"Veropoulos K., Campbell C., Cristianini N.: \u201cControlling the Sensitivity of Support Vector Machines\u201d, Proceedings of the International Joint Conference on Artificial Intelligence, Stockholm, Sweden, 1999 (IJCAI99), Workshop ML3, p. 55\u201360."}],"container-title":["Lecture Notes in Computer Science","Advances in Artificial Intelligence \u2014 IBERAMIA 2002"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-36131-6_53","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,20]],"date-time":"2025-01-20T08:42:31Z","timestamp":1737362551000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-36131-6_53"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002]]},"ISBN":["9783540001317","9783540361312"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/3-540-36131-6_53","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2002]]}}}