scholarly journals Construction a Non-parametric Prediction Model for Spatial Random Field Using Projection Theorem

2022 ◽  
Vol 15 (2) ◽  
pp. 329-340
Author(s):  
Issac Almasi ◽  
Mehdi Omidi ◽  
◽  
Keyword(s):  
Prediction Model ◽  
Random Field ◽  
Projection Theorem ◽  
Spatial Random Field ◽  
Non Parametric

A Non-Parametric Method of Electric Power Enterprise Arrears Prediction Model

2016 ◽  
Vol 9 (8) ◽  
pp. 413-422
Author(s):  
Nijiati Najimi ◽  
Chen Jianxin ◽  
Ma Bin ◽  
Wang Tao ◽  
Han Shuangli ◽  
...  
Keyword(s):  
Prediction Model ◽  
Electric Power ◽  
Parametric Method ◽  
Power Enterprise ◽  
Non Parametric ◽  
Electric Power Enterprise

Prediction Model for Dissolved Gas in Transformer Oil Based on Non-Parametric Regression

2014 ◽  
Vol 986-987 ◽  
pp. 1410-1413
Author(s):  
Jin Qiang Chen
Keyword(s):  
Prediction Model ◽  
Regression Model ◽  
Prediction Accuracy ◽  
Power Transformer ◽  
Transformer Oil ◽  
Dissolved Gas ◽  
Data Sequence ◽  
Parametric Regression ◽  
Historical Samples ◽  
Non Parametric

The non-parametric regression prediction model for dissolved gases in power transformer and its application are studied. As the intervals between two analytic experiments of transformer dissolved gas are unfixed,the data sequence sampled with unequal intervals is converted into the data sequences with equal intervals,which is smoothed to form a new sequence. And then use the historical samples data to establish non-parametric regression model for prediction. Compared with the grey model,the non-parametric regression model has better prediction accuracy. The case verifies the correctness and feasibility of the method.

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