Add to ORKGThis paper proposes a novel method for classifying voltage disturbances in electric power systems by using the Support Vector Machine (SVM) method. The proposed SVM classifier is designed to classify five common types of voltage disturbances and experiments have been conducted on recorded disturbances with good classification results. The proposed SVM classifier is also shown to be robust in terms of using training data and testing data that originate from two different power networks
The paper presents a contribution to voltage fluctuation assessment. The importance of automated pow...
This paper presents dynamic voltage collapse prediction on an actual power system using support vect...
This paper presents the voltage problem location classification using performance of Least Squares S...
This paper proposes a novel method for classifyingvoltage disturbances in electric power systems by ...
The Support Vector Machine (SVM) is a powerful method for statistical classification of data used in...
This paper proposes a new method for classifying five common types of power system disturbances by u...
The power quality disturbance (PQD) problem involves problems of voltage swell, voltage sag, power i...
Power Quality has become one of the important issues in modern smart grid environment. Smart grid ge...
This paper presents a power quality disturbance recognition system employing support vector machine ...
In this paper represented a new method for detection and classification of signal defects or disturb...
Statistically based classification systems need to be trained on a large number of training data in ...
Abstract—This paper presents an integrated model for recog-nizing power-quality disturbances (PQD) u...
At the time of restoration transmission line switching is one of the major causes, which creates tr...
The last years' blackouts have indicated that even when a lot of data is available, the operators at...
The quality of power delivered by modern electricity grids is of interest as disturbances to power q...
The paper presents a contribution to voltage fluctuation assessment. The importance of automated pow...
This paper presents dynamic voltage collapse prediction on an actual power system using support vect...
This paper presents the voltage problem location classification using performance of Least Squares S...
This paper proposes a novel method for classifyingvoltage disturbances in electric power systems by ...
The Support Vector Machine (SVM) is a powerful method for statistical classification of data used in...
This paper proposes a new method for classifying five common types of power system disturbances by u...
The power quality disturbance (PQD) problem involves problems of voltage swell, voltage sag, power i...
Power Quality has become one of the important issues in modern smart grid environment. Smart grid ge...
This paper presents a power quality disturbance recognition system employing support vector machine ...
In this paper represented a new method for detection and classification of signal defects or disturb...
Statistically based classification systems need to be trained on a large number of training data in ...
Abstract—This paper presents an integrated model for recog-nizing power-quality disturbances (PQD) u...
At the time of restoration transmission line switching is one of the major causes, which creates tr...
The last years' blackouts have indicated that even when a lot of data is available, the operators at...
The quality of power delivered by modern electricity grids is of interest as disturbances to power q...
The paper presents a contribution to voltage fluctuation assessment. The importance of automated pow...
This paper presents dynamic voltage collapse prediction on an actual power system using support vect...
This paper presents the voltage problem location classification using performance of Least Squares S...