dc.creator | Riquelme Santos, José Cristóbal | es |
dc.creator | Gómez Expósito, Antonio | es |
dc.creator | Martínez Ramos, José Luis | es |
dc.creator | Peças Lopes, J.A. | es |
dc.date.accessioned | 2016-03-30T09:34:54Z | |
dc.date.available | 2016-03-30T09:34:54Z | |
dc.date.issued | 1998 | |
dc.identifier.citation | Riquelme Santos, J.C., Gómez Expósito, A.,...,Peças Lopes, J.A. (1998). Overload screening of transmission systems using neural networks. En Methodology and Tools in Knowledge-Based Systems Vol. 1415, Lecture Notes in Computer Science pp 796-803 (1998) . | |
dc.identifier.uri | http://hdl.handle.net/11441/39135 | |
dc.description.abstract | The process of determining whether a power system is in a secure or insecure state is a crucial task which must be addressed on-line in any Energy Management System. In this paper, an Artificial Neural Network, capable of accurately identifying the set of harmful contingencies, is presented, along with several results obtained from a real-size power network. The proposed approach makes use of classical numerical techniques to compensate the ANN'S inputs so that it can deal with topological changes in the power system. | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.relation.ispartof | Methodology and Tools in Knowledge-Based Systems Vol. 1415, Lecture Notes in Computer Science pp 796-803 (1998) | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Artificial Intelligence (incl. Robotics) | es |
dc.subject | Engineering | es |
dc.subject | general | es |
dc.subject | Computer-Aided Engineering (CAD, CAE) and Design | es |
dc.subject | IT in Business | es |
dc.title | Overload screening of transmission systems using neural networks | es |
dc.type | info:eu-repo/semantics/bookPart | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería Eléctrica | es |
dc.identifier.doi | http://dx.doi.org/10.1007/3-540-64582-9_812 | es |
dc.identifier.idus | https://idus.us.es/xmlui/handle/11441/39135 | |