Data segmentation algorithms for a time-domain harmonic source modeling method

2009 ◽  
Author(s):  
M. Dong ◽  
H.E. Mazin ◽  
Wilsun Xu
Keyword(s):  
Time Domain ◽  
Modeling Method ◽  
Source Modeling ◽  
Data Segmentation ◽  
Segmentation Algorithms ◽  
Harmonic Source

scholarly journals Abnormal Detection to Big Data Using Deep Neural Networks

2021 ◽  
Vol 2068 (1) ◽  
pp. 012025
Author(s):  
Jian Zheng ◽  
Zhaoni Li ◽  
Jiang Li ◽  
Hongling Liu
Keyword(s):  
Neural Network ◽  
Big Data ◽  
Risk Model ◽  
Small Sample ◽  
Small Samples ◽  
Small Data ◽  
Data Segmentation ◽  
Sample Data ◽  
Segmentation Algorithms ◽  
The Common

Abstract It is difficult to detect the anomalies in big data using traditional methods due to big data has the characteristics of mass and disorder. For the common methods, they divide big data into several small samples, then analyze these divided small samples. However, this manner increases the complexity of segmentation algorithms, moreover, it is difficult to control the risk of data segmentation. To address this, here proposes a neural network approch based on Vapnik risk model. Firstly, the sample data is randomly divided into small data blocks. Then, a neural network learns these divided small sample data blocks. To reduce the risks in the process of data segmentation, the Vapnik risk model is used to supervise data segmentation. Finally, the proposed method is verify on the historical electricity price data of Mountain View, California. The results show that our method is effectiveness.

scholarly journals Stochastic Residential Harmonic Source Modeling for Grid Impact Studies

Energies ◽  
2017 ◽  
Vol 10 (3) ◽  
pp. 372 ◽  
Author(s):  
Gu Ye ◽  
Michiel Nijhuis ◽  
Vladimir Cuk ◽  
J.F.G. Cobben
Keyword(s):  
Source Modeling ◽  
Impact Studies ◽  
Harmonic Source
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