Neural network based on adaptive resonance theory with continuous training for multi-configuration transient stability analysis of electric power systems-Reference-Cited by-同舟云学术

Neural network based on adaptive resonance theory with continuous training for multi-configuration transient stability analysis of electric power systems

Published:2011-01 Issue:1 Volume:11 Page:706-715
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Marchiori Sandra C.,da Silveira Maria do Carmo G.,Lotufo Anna Diva P.,Minussi Carlos R.,Lopes Mara Lúcia Martins

Publisher

Elsevier BV

Subject

Software

Reference22 articles.

1. Power System Control and Stability;Anderson,2003

2. Transient Stability of Power Systems. A Unified Approach to Assessment and Control;Pavella,2000

3. Power system dynamic response calculations;Stott,1979

4. Neural Networks and Learning Machines;Haykin,2008

5. Quick fuzzy backpropagation algorithm;Nikov;Neural Networks,2001

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application of a Fuzzy ARTMAP Neural Network for Indoor Air Quality Prediction;2022 International Electrical Engineering Congress (iEECON);2022-03-09

2. A new approach to online training for the Fuzzy ARTMAP artificial neural network;Applied Soft Computing;2021-12

3. Transient Stability Analysis of a Transmission Network Using Eigenvalue Principles with Automated VAR Compensation: A Case Study of the Nigerian Eastern Grid;Energies;2021-08-26

4. Transient stability prediction of power system; a review on methods, classification and considerations;Electric Power Systems Research;2021-01

5. Impact wave predictions by a Fuzzy ARTMAP neural network;Ocean Engineering;2020-04