Go to:
Logótipo
Você está em: Start > Publications > View > On-line dynamic security assessment of isolated networks integrating large wind power production
Map of Premises
Principal
Publication

On-line dynamic security assessment of isolated networks integrating large wind power production

Title
On-line dynamic security assessment of isolated networks integrating large wind power production
Type
Article in International Scientific Journal
Year
1999
Authors
João Abel Peças Lopes
(Author)
FEUP
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications View Authenticus page View ORCID page
N. Hatziargyriou
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Maria Helena Osório Pestana de Vasconcelos
(Author)
FEUP
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications View Authenticus page View ORCID page
E. Karapidakis
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
José Nuno Moura Marques Fidalgo
(Author)
FEUP
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications View Authenticus page View ORCID page
Journal
Vol. 23 No. 2
Pages: 107-117
Indexing
Publicação em Scopus Scopus
INSPEC
COMPENDEX
Scientific classification
FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering
Other information
Abstract (EN): The paper describes the on-line dynamic security assessment functions developed within the European Union, DGXII programme, CARE. These functions are based exclusively on the application of machine learning techniques. A description of the problem and the data set generation procedure for the Crete island power system are included. Comparative results regarding performances of Decision Trees, Kernel Regression Trees and Neural Networks are presented and discussed. The paper describes the on-line dynamic security assessment functions developed within the European Union, DGXII programme, CARE. These functions are based exclusively on the application of machine learning techniques. A description of the problem and the data set generation procedure for the Crete island power system are included. Comparative results regarding performances of Decision Trees, Kernel Regression Trees and Neural Networks are presented and discussed.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 11
License type: Click to view license CC BY-NC
Related Publications

Of the same authors

Artificial intelligence techniques applied to dynamic security assessment of isolated systems with high wind power penetration (2000)
Article in International Conference Proceedings Book
N. Hatziargyriou; E. Karapidakis; João Abel Peças Lopes; Maria Helena Osório Pestana de Vasconcelos; José Nuno Moura Marques Fidalgo; J. Stefanakis; A. Gigantidou
Recommend this page Top
Copyright 1996-2025 © Faculdade de Medicina Dentária da Universidade do Porto  I Terms and Conditions  I Acessibility  I Index A-Z
Page created on: 2025-07-16 at 11:52:54 | Privacy Policy | Personal Data Protection Policy | Whistleblowing | Electronic Yellow Book