An adaptive neuro-fuzzy inference system (ANFIS) is a hybrid algorithm composed of fuzzy
logic and an artificial neural network. It takes advantage of fuzzy logic and artificial neural …

This paper describes an approach using an adaptive neuro-fuzzy inference system (ANFIS)
for the assessment of online critical clearing time (CCT). The ANFIS can integrate neural …

In this paper, transient stability assessment is performed on a power system using a
classification approach and data mining algorithms. As a first step, offline training data was …

This paper presents dynamic voltage collapse prediction on an actual power system using
support vector regression. Dynamic voltage collapse prediction is first determined based on …

This paper describes a data mining algorithm in power system security assessment.
Decision tree (DT) is utilized for on-line status appraisal of a realistic Chinese power grid …

This paper presents dynamic voltage collapse prediction on an actual power system using
support vector machines. Dynamic voltage collapse prediction is first determined based on …

Combining the synchronized phasor measurement unit (PMU), a power system transient
stability assessment method based on principal component analysis and support vector …

Accurate transient stability assessment is a crucial prerequisite for proper power system
operation and planning with various operational constraints. Transient stability assessment …

In this paper, we utilize training strategy of hidden Markov model (HMM) to use in versatile
issues such as classification of time-series sequential data such as electric transient …

This paper presents dynamic voltage collapse prediction on an actual power system using
support vector machines. Dynamic voltage collapse prediction is first determined based on …