Transient stability prediction of power system; a review on methods, classification and considerations
AR Sobbouhi, A Vahedi - Electric Power Systems Research, 2021 - Elsevier
Transient stability is a prominent aspect of power system stability and therefore instability
prediction has been the subject of a vast amount of research and many publications. In the …
prediction has been the subject of a vast amount of research and many publications. In the …
Novel filter based ANN approach for short-circuit faults detection, classification and location in power transmission lines
H Fathabadi - International Journal of Electrical Power & Energy …, 2016 - Elsevier
This paper presents a novel approach for detecting, classifying and locating short-circuit
faults in power transmission lines. Based on the proposed approach, a hybrid framework …
faults in power transmission lines. Based on the proposed approach, a hybrid framework …
Transient stability assessment of power systems described with detailed models using neural networks
A Karami, SZ Esmaili - International Journal of Electrical Power & Energy …, 2013 - Elsevier
This paper investigates the use of multi-layered perceptron (MLP) neural network (NN) for
assessing the transient stability of a power system considering the detailed models for the …
assessing the transient stability of a power system considering the detailed models for the …
Financial distress prediction in banks using Group Method of Data Handling neural network, counter propagation neural network and fuzzy ARTMAP
P Ravisankar, V Ravi - Knowledge-based systems, 2010 - Elsevier
This paper presents three hitherto unused neural network architectures for bankruptcy
prediction in banks. These networks are Group Method of Data Handling (GMDH), Counter …
prediction in banks. These networks are Group Method of Data Handling (GMDH), Counter …
A new power system transient stability assessment method based on Type-2 fuzzy neural network estimation
A Sharifian, S Sharifian - International Journal of Electrical Power & Energy …, 2015 - Elsevier
Transient stability assessment (TSA) of large power systems by the conventional method is a
time consuming task. For each disturbance many nonlinear equations should be solved that …
time consuming task. For each disturbance many nonlinear equations should be solved that …
基于支持向量机的暂态稳定评估双阶段特征选择
叶圣永， 王晓茹， 刘志刚， 钱清泉 - 中国电机工程学报, 2010 - epjournal.csee.org.cn
针对电力系统暂态稳定评估的高维性, 在构造一组与系统规模无关的原始特征集基础上,
提出一种支持向量机双阶段特征选择方法. 第1 阶段以支持向量机递归特征选择法对原始特征集 …
提出一种支持向量机双阶段特征选择方法. 第1 阶段以支持向量机递归特征选择法对原始特征集 …
Two novel proposed discrete wavelet transform and filter based approaches for short-circuit faults detection in power transmission lines
H Fathabadi - Applied Soft Computing, 2015 - Elsevier
In this study, two approaches are presented to detect short-circuit faults in power
transmission lines. The two proposed methods are completely novel from both theoretical …
transmission lines. The two proposed methods are completely novel from both theoretical …
Multi-agent Gaussian Adaptive Resonance Theory Map for building energy control and thermal comfort management of UCLan's WestLakes Samuel Lindow Building
This paper presents a Gaussian Adaptive Resonance Theory Map (gARTMAP) incorporated
to a multi-agent system (MAS) for building intelligent heat management system (IHMS), or …
to a multi-agent system (MAS) for building intelligent heat management system (IHMS), or …
Transient rotor angle stability prediction based on deep belief network and long short-term memory network
L Liu, Y Li, Y Cao, F Liu, W Wang, J Zuo - IFAC-PapersOnLine, 2019 - Elsevier
In this paper, a transient stability prediction method based on deep belief network (DBN) and
long short-term memory (LSTM) network is proposed. DBN is utilized to embed the original …
long short-term memory (LSTM) network is proposed. DBN is utilized to embed the original …