Data mining for classification of power quality problems using WEKA and the effect of attributes on classification accuracy

SA Kiranmai, AJ Laxmi - … and Control of Modern Power Systems, 2018 - ieeexplore.ieee.org
There is growing interest in power quality issues due to wider developments in power
delivery engineering. In order to maintain good power quality, it is necessary to detect and …

[PDF][PDF] An overview of data mining techniques applied to power systems

J Morais, A Klautau, C Cardoso, Y Pires - 2009 - Citeseer
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 …

A frame-based ANN for classification of hyperspectral images: assessment of mechanical damage in mushrooms

R Rojas-Moraleda, NA Valous, A Gowen… - Neural Computing and …, 2017 - Springer
Imaging spectroscopy integrates conventional imaging and spectroscopy to attain both
spatial and spectral information from an object. Processing and analysis of a hypercube can …

A framework for evaluating automatic classification of underlying causes of disturbances and its application to short-circuit faults

J Morais, Y Pires, C Cardoso… - IEEE transactions on …, 2010 - ieeexplore.ieee.org
Most works in power systems event classification concern classifying an event according to
the morphology of the corresponding waveform. An important and even more difficult …

[图书][B] Handbook of critical incident analysis

R Schwester - 2012 - books.google.com
Critical incidents all too often explode onto the social conscious and challenge our sense of
security. This comprehensive handbook brings together a range of experts who provide a …

Classification of events in distribution networks using autonomous neural models

AE Lazzaretti, VH Ferreira, HV Neto… - … on Intelligent System …, 2009 - ieeexplore.ieee.org
This paper presents a method for automatic classification of faults and events related to
quality of service in electricity distribution networks. The method consists in preprocessing …

Body-voltage estimation in digital PD-SOI circuits and its application to static timing analysis

KL Shepard, DJ Kim - … on Computer-Aided Design of Integrated …, 2001 - ieeexplore.ieee.org
Partially depleted silicon-on-insulator (PD-SOI) has emerged as a technology of choice for
high-performance low-power deep-submicrometer digital integrated circuits. An important …

A novel ensemble approach to multi-label classification for electric power fault diagnosis

Z Xi, X Chen, T Almad, Y Ma - 2019 IEEE 7th International …, 2019 - ieeexplore.ieee.org
State Grid Corporation of China has accumulated a large number of electric power fault
textual data based on ICT customer services. Effectively classifying and analyzing these …

A GBDT Algorithm Based Approach to Power Equipment Defect Data Mining and Analysis

C Huang, Y Feng, Y Zhang… - 2022 IEEE 2nd …, 2022 - ieeexplore.ieee.org
In order to improve the operation, maintenance and management level of power system
equipment, a method of data mining and analysis of power equipment defects based on …

Data mining applied to the electric power industry: classification of short-circuit faults in transmission lines

Y Pires, J Morais, C Cardoso, A Klautau - Innovative Applications in Data …, 2009 - Springer
Data mining can play a fundamental role in modern power systems. However, the
companies in this area still face several difficulties to benefit from data mining. A major …