The problem of voltage stability is becoming a more acute and indispensable topic given the
major and sensitive role it plays in the electrical system. It can be considered a major factor …

For over two decades Neural Network (NN) has been applied to power system monitoring
and control. Conventional controllers suffer from certain limitations which NN as an Artificial …

Loadability limits are critical points of particular interest in voltage stability assessment,
indicating how much a system can be stressed from a given state before reaching instability …

With the development of artificial intelligence technology, more advanced algorithms can be
used to predict the static voltage stability index more quickly and accurately. However, when …

This paper presents a novel approach for Voltage Stability Margin (VSM) estimation that
combines a Kernel Extreme Learning Machine (KELM) with a Mean-Variance Mapping …

针对支持向量机(Support vector machine, SVM) 的惩罚系数难以确定, 核函数必须满足Mercer
定理等问题, 相关向量机(Relevance vector machine, RVM) 应运而生以解决上述问题 …

A full-scale Carrousel oxidation ditch wastewater treatment plant (WWTP) was simulated
and optimized through integrating the activated sludge model 2d (ASM2d), support vector …

In view of some shortcomings of support vector machine, for instance, it is difficult to select
the regularization parameter and the kernel function must satisfy Mercer's condition …

Preventing voltage collapse occurrences in power systems are a challenging task
worldwide. An adequate reactive power supply along with voltage limit violation may lead to …

Studies have shown that numerous operating parameters affecting the proton exchange
membrane fuel cell (PEMFC) performance, such as fuel cell operating temperature …