Lean Operation and Maintenance Evaluation Technology of Power Grid Equipment Based on Improved Big Data Cleaning Method

2020 ◽  
Author(s):  
Yahong Xing ◽  
Changhong Meng ◽  
Chunhui Li ◽  
Guoping Xi ◽  
Xinping Jia ◽  
...  
Keyword(s):  
Big Data ◽  
Data Cleaning ◽  
Power Grid ◽  
Cleaning Method ◽  
Operation And Maintenance

scholarly journals Big Data Cleaning Model of Multi-Source Heterogeneous Power Grid Based On Machine Learning Classification Algorithm

2021 ◽  
Vol 2087 (1) ◽  
pp. 012095
Author(s):  
Zhangchi Ying ◽  
Yuteng Huang ◽  
Ke Chen ◽  
Tianqi Yu
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Data Cleaning ◽  
Power Grid ◽  
Measurement Data ◽  
Classification Algorithm ◽  
Imprecise Data ◽  
Machine Learning Classification ◽  
Model Based ◽  
Inaccurate Data

Abstract Aiming at the low cleaning rate of the traditional multi-source heterogeneous power grid big data cleaning model, a multi-source heterogeneous power grid big data cleaning model based on machine learning classification algorithm is designed. By capturing high-quality multi-source heterogeneous power grid big data, weight labeling of data source importance measurement, data attributes and tuples, and constructing Tan network based on the idea of machine learning classification algorithm, the data probability value is finally used to complete the classification and cleaning of inaccurate data. Experiments show that the model based on machine learning classification algorithm can effectively improve the imprecise data cleaning rate compared with the traditional model to solve multi-source heterogeneous imprecise data cleaning.

A Data Cleaning Method and Its Application for Earthen Site Data Monitored by WSN

2016 ◽  
pp. 638-649
Author(s):  
Yun Xiao ◽  
Xuanhong Wang ◽  
Xin Wang ◽  
Pengfei Xu ◽  
Xiaojiang Chen ◽  
...  
Keyword(s):  
Data Cleaning ◽  
Cleaning Method

scholarly journals IoT Based Decision Making System to Improve Veracity of Big Data

2018 ◽  
Vol 7 (3.1) ◽  
pp. 63 ◽  
Author(s):  
R Revathy ◽  
R Aroul Canessane
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Internet Of Things ◽  
Data Streams ◽  
Data Cleaning ◽  
Data Handling ◽  
Secure Data ◽  
Decision Making System ◽  
Data Investigation ◽  
Impact Data

Data are vital to help decision making. On the off chance that data have low veracity, choices are not liable to be sound. Internet of Things (IoT) quality rates big data with error, irregularity, deficiency, trickery, and model guess. Improving data veracity is critical to address these difficulties. In this article, we condense the key qualities and difficulties of IoT, which impact data handling and decision making. We audit the scene of estimating and upgrading data veracity and mining indeterminate data streams. Also, we propose five suggestions for future advancement of veracious big IoT data investigation that are identified with the heterogeneous and appropriated nature of IoT data, self-governing basic leadership, setting mindful and area streamlined philosophies, data cleaning and handling procedures for IoT edge gadgets, and protection safeguarding, customized, and secure data administration.  

Analysis of Operation of AVC System in Fuzhou Power Grid

2014 ◽  
Vol 1061-1062 ◽  
pp. 1013-1016
Author(s):  
Jun Jie Xiong ◽  
Wei He ◽  
Hao He
Keyword(s):  
Success Rate ◽  
Closed Loop ◽  
Power Grid ◽  
Value Management ◽  
Operation And Maintenance ◽  
Equipment Availability

Through the statistics of AVC system equipment availability, closed loop rate, action number and success rate, analyses the operation of AVC system in Fuzhou power grid, there are still many problems, such as closed loop rate is not high, some AVC substation remote low success rate.In order to effectively improve the pertinent measures from the design, operation and maintenance, fixed value management etc..

Sign in / Sign up

Export Citation Format

Share Document