Intelligent identification of the line-transformer relationship in distribution networks based on GAN processing unbalanced data
Y Wang, X Zhang, H Liu, B Li, J Yu, K Liu, L Qin - Sustainability, 2022 - mdpi.com
The wrong line-transformer relationship is one of the main reasons that leads to the failure of
the line loss assessment of the distribution network with voltage levels of 10 kV and below …
the line loss assessment of the distribution network with voltage levels of 10 kV and below …
A model for identifying the feeder-transformer relationship in distribution grids using a data-driven machine-learning algorithm
Y Gao, B Kang, H Xiao, Z Wang, G Ding… - Frontiers in Energy …, 2023 - frontiersin.org
With the increasing demand for reliable power supply and the widespread integration of
distributed energy sources, the topology of distribution networks is subject to frequent …
distributed energy sources, the topology of distribution networks is subject to frequent …
Fault diagnosis of distribution terminal units' measurement system based on generative adversarial network combined with convolutional neural network
QF Zhou, Y Ge, XD Song, K Lai… - IOP Conference Series …, 2020 - iopscience.iop.org
As the condition monitoring and control device in the distribution automation system, the
abnormal or fault state of distribution terminal units' measurement system will negatively …
abnormal or fault state of distribution terminal units' measurement system will negatively …
Abnormal line loss identification and category classification of distribution networks based on semi-supervised learning and hierarchical classification
W Li, W Zhao, J Li, J Li, Y Zhao - Frontiers in Energy Research, 2024 - frontiersin.org
Line loss refers to the electrical energy that is dissipated as heat during the transmission and
distribution of electricity through power lines. However, unusual causes, such as grid …
distribution of electricity through power lines. However, unusual causes, such as grid …
Research on topology identification of distribution network under the background of big data
S Li, S Gao, J Wu, D Xie, G Xi, Y Zhao… - 2020 IEEE 4th …, 2020 - ieeexplore.ieee.org
Traditional identification of distribution network topology needs to rely on manual
identification and verification, which has the problems of low identification rate and poor …
identification and verification, which has the problems of low identification rate and poor …
Comparative analysis of performance of 1D-CNN and DNN model in line loss rate prediction
J Shen, J Li, M Li, B Fan, K Wang… - 2021 3rd International …, 2021 - ieeexplore.ieee.org
Area line loss suggestion is an important economic indicator for power supply enterprise
evaluation, but theoretical calculation line loss suggestion in complex area has been a …
evaluation, but theoretical calculation line loss suggestion in complex area has been a …
Research on Line-transformer-user Topological Anomaly Recognition Model Based on Multi-source Data Mining
G Zhao, J Chu, L Deng, K Pan - 2020 5th Asia Conference on …, 2020 - ieeexplore.ieee.org
The accuracy of the distribution network topology relationship is the basic guarantee for the
management of low-voltage and medium-voltage line losses. Due to many historical …
management of low-voltage and medium-voltage line losses. Due to many historical …
Research and Application of Deep Belief Neural Network for Distribution Transformer Feeding Area Line Loss Reduction
F Yang, W Huang, S Li - 2021 6th Asia Conference on Power …, 2021 - ieeexplore.ieee.org
The line loss rate is an important technical and economic indicator for power supply
company, which is also an important content to measure company's comprehensive …
company, which is also an important content to measure company's comprehensive …
A distribution Network identification of cause of line loss method based on Markov random field
D Yinglong, L Guodong, J Dongli… - 2018 China …, 2018 - ieeexplore.ieee.org
The distribution network structure is huge and complex, and the system operates in a variety
of environments. It displays differentiated operation characteristics in different regions …
of environments. It displays differentiated operation characteristics in different regions …
A Data-Driven Framework Based on Deep Learning with Self-Attention Mechanism for Fault Detection in Power Distribution Networks
M Lu, G Feng, S Huang, S Liu… - … Conference on Sensing …, 2023 - ieeexplore.ieee.org
Fault detection in distribution networks is an important means of ensuring the safe operation
of power grids. With the expansion of the scale of distribution networks, fault detection has …
of power grids. With the expansion of the scale of distribution networks, fault detection has …
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