Power distribution system fault cause analysis by using association rule mining
M Doostan, BH Chowdhury - Electric Power Systems Research, 2017 - Elsevier
In recent years, with the increasing requirements on power distribution utilities to ensure
system reliability and to improve customers and regulators satisfaction, utilities seek to find …
system reliability and to improve customers and regulators satisfaction, utilities seek to find …
Outage cause detection in power distribution systems based on data mining
MS Bashkari, A Sami… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Realizing the factors involved in power system outages can be effective in reliability
improvement. In this article, we analyze the distribution power network outage data to find …
improvement. In this article, we analyze the distribution power network outage data to find …
A fault analysis method based on association rule mining for distribution terminal unit
X Zhang, Y Tang, Q Liu, G Liu, X Ning, J Chen - Applied Sciences, 2021 - mdpi.com
With the development of distribution networks, large amounts of distribution terminal units
(DTU) are gradually integrated into the power system. However, limited numbers of …
(DTU) are gradually integrated into the power system. However, limited numbers of …
Data mining and analysis of tree-caused faults in power distribution systems
The reliability and quality of power distribution systems are affected by different distribution
faults. Trees are one of the major fault causes. In this paper, four different measures: actual …
faults. Trees are one of the major fault causes. In this paper, four different measures: actual …
A classification approach for power distribution systems fault cause identification
Power distribution systems play an important role in modern society. When distribution
system outages occur, fast and proper restorations are crucial to improve the quality of …
system outages occur, fast and proper restorations are crucial to improve the quality of …
Comparisons of logistic regression and artificial neural network on power distribution systems fault cause identification
Power distribution systems play an important role in modern society. Proper outage root
cause identification is often essential for effective restorations when outages occur. This …
cause identification is often essential for effective restorations when outages occur. This …
Power distribution systems fault cause identification using logistic regression and artificial neural network
Power distribution systems play an important role in modern society. When outages occur,
fast and proper restorations are crucial to improve system reliability. Proper outage root …
fast and proper restorations are crucial to improve system reliability. Proper outage root …
[PDF][PDF] An overview of data mining techniques applied to power systems
The growth of available data in the electric power industry motivates the adoption of data
mining techniques. However, the companies in this area still face several difficulties to …
mining techniques. However, the companies in this area still face several difficulties to …
Machine learning for power system protection and control
Since the power system is undergoing a transition into a more flexible and complex system,
it urges improvements in fault diagnosis techniques for the power system protection to avoid …
it urges improvements in fault diagnosis techniques for the power system protection to avoid …
[PDF][PDF] Data mining techniques to assess the condition of high voltage electrical plant
AJ McGrail, E Gulski, ERS Groot, D Allan… - … Conference on Large …, 2002 - researchgate.net
Increasing demands to fully exploit the capabilities of existing transmission equipment and
systems require the best use from data assets in corporate databases and also require the …
systems require the best use from data assets in corporate databases and also require the …