Research on automatic checking method of power anomaly data based on chaotic sequence

H Zhao, Y Cao, Y Luo, J Wu - Third International Conference …, 2024 - spiedigitallibrary.org
With the increasing complexity and scale of power system, the challenges of data
management and anomaly detection are becoming increasingly prominent. However, the …

An anomaly detection method for electric power information system based on improved k-means.

H Lin, C Jian, Y Fan, L Yi… - Journal of Shenzhen …, 2020 - search.ebscohost.com
The electric power information system is usually used to control the power equipment. The
anomaly detection of electric power information system is very important for maintaining the …

Anti leakage method of power information communication data based on chaotic mapping

S Guo, M Huang, H Ling… - … Conference on Computer …, 2022 - spiedigitallibrary.org
Power information communication contains sensitive and private data, which may be
illegally stolen and tampered after being leaked, posing a threat to the data security of power …

Outlier Detection Model of Electric Power Big Data Based on Fuzzy K-means Clustering Algorithm

Y Liang - … on Networking, Informatics and Computing (ICNETIC …, 2023 - ieeexplore.ieee.org
Abnormal operation of big data in electric power will affect users' normal electricity
consumption, increase of line loss and loss of electricity, or even cause fire, affect the …

Application of Big Data Analysis in Abnormal Detection of Power Grid Business Data

J Wang, X Yu, L Tian, B Yuan, X Liu… - … Conference on Electrical …, 2024 - ieeexplore.ieee.org
Abnormal detection of power grid business data is very important in ensuring data security.
Use strong encryption algorithm to protect the transmitted data and ensure that the data will …

Power system abnormal pattern detection for new energy big data

M Cheng, D Zhang, W Yan, L He, R Zhang… - International Journal of …, 2023 - degruyter.com
The energy crisis is a problem that countries all over the world pay more and more attention
to, and a series of ecological problems caused by it have become increasingly prominent. It …

A Novel Power System Anomaly Data Identification Method Based on Neural Network and Affine Propagation

L Shen, Y Shen, C Song, Z Li, R Ran… - … York, NY, USA, July 26-28 …, 2019 - Springer
Identification of anomaly data is very important for power system state estimation. In this
paper, a method of power system anomaly data identification based on neural network and …

Signal clustering of power disturbance by using chaos synchronization

HT Yau, MH Wang, TY Wang, G Chen - International Journal of Electrical …, 2015 - Elsevier
This study develops and applies a chaos synchronization-based detection method for an
engineering application of monitoring power quality disturbance. The new method can …

Marketing Inspection and Monitoring System for Power Grid Enterprises Based on Electricity Regulation

C Chunsheng, T Guang, Y Lei… - 2023 IEEE 6th …, 2023 - ieeexplore.ieee.org
Research and development of electric power marketing online audit system. Using Java
language, SSH framework, data warehouse, AJAX and ORACLE database design. The four …

Anomaly Recognition Method for Massive Data of Power Internet of Things Based on Bayesian Belief Network

X Lu, W Xie, J Hu, H Wang - 2023 2nd International Conference …, 2023 - ieeexplore.ieee.org
At this stage, the massive data of the power Internet of Things (IoT) is collected and stored in
a centralized way, this leads to the inefficient use and analysis of a large amount of …