A review on distribution grid fault location techniques
M Shafiullah, MA Abido - Electric Power Components and Systems, 2017 - Taylor & Francis
Electricity customers are usually connected to the power system networks through
distribution grids, and any interruption in these grids causes customer minute loss (CML) …
distribution grids, and any interruption in these grids causes customer minute loss (CML) …
Deep learning-based fault classification and location for underground power cable of nuclear facilities
Worldwide, Nuclear Power Plants (NPPs) must have higher security protection and precise
fault detection systems, especially underground power cable faults, to avoid causing …
fault detection systems, especially underground power cable faults, to avoid causing …
A random forest-based approach for fault location detection in distribution systems
H Okumus, FM Nuroglu - Electrical Engineering, 2021 - Springer
Finding the fault location in distribution network is difficult in comparison to transmission
network based upon high branching and high impedances composed of the contact with …
network based upon high branching and high impedances composed of the contact with …
A comprehensive review of fault location methods for distribution power system
N Gana, NF Ab Aziz, Z Ali, H Hashim, B Yunus - 2017 - irepository.uniten.edu.my
Fault on distribution system does not only affect the reliability of power supply, but also
contribute to increasing operational and maintenance cost borne by the utilities. Throughout …
contribute to increasing operational and maintenance cost borne by the utilities. Throughout …
Short-term load forecasting using genetic algorithm
Electrical power load forecasting has at all conditions been a basic subject in the energy
trade. Load forecasting requires relative learning, reminiscent of neighborhood climate, and …
trade. Load forecasting requires relative learning, reminiscent of neighborhood climate, and …
Effectiveness of PSO on short term load forecasting
In this paper, Short term load forecasting is optimized by PSO techniques using BP neural
network's has the power to find global optimization. Actual load and climate data are using …
network's has the power to find global optimization. Actual load and climate data are using …
Short term load forecasting using empirical mode decomposition (emd), particle swarm optimization (pso) and adaptive network-based fuzzy interference systems …
Precise sustainable power source age and power request gauging instruments assume
pivotal jobs in accomplishing proficient and stable activity of powerplant frameworks …
pivotal jobs in accomplishing proficient and stable activity of powerplant frameworks …
Effectiveness of GA on short term load forecasting
Load forecasting is playing a vital rule in the power system. Exact load determination is a
great part of the smoothing running of the electric grid. It depends on weather data, past load …
great part of the smoothing running of the electric grid. It depends on weather data, past load …
DWT and SVM approach based incipient fault detection methods for underground distribution system
This paper presents a supervised machine-learning technique for incipient fault
identification in an underground cable. The nature of the incipient fault is aberrant so it is …
identification in an underground cable. The nature of the incipient fault is aberrant so it is …
A study of machine learning techniques in short term load forecasting using ANN
The electrical transient burden estimating has been increased as one of the important
essential fields of investigations used for effectual, as well as solid activity of intensity …
essential fields of investigations used for effectual, as well as solid activity of intensity …