Research on natural gas load forecasting based on least squares support vector machine

2005 ◽  
Author(s):  
Ran Liu ◽  
Ding Liu ◽  
Yan-ming Liang ◽  
Gang Zheng
Keyword(s):  
Support Vector Machine ◽  
Natural Gas ◽  
Least Squares ◽  
Load Forecasting ◽  
Support Vector

scholarly journals Uncertain Machine Load Forecasting Based on Least Squares Support Vector Machine

2021 ◽  
Author(s):  
Qiaofeng Meng
Keyword(s):  
Support Vector Machine ◽  
Least Squares ◽  
Strong Correlation ◽  
Job Shop ◽  
Job Shop Scheduling ◽  
Load Forecasting ◽  
Support Vector ◽  
Shop Scheduling ◽  
Machine Load ◽  
Forecasting Method

Machine state is a very important constraint for job shop scheduling. For the uncertainty machine state, the paper proposes a machine load forecasting method based on support vector machine. The method reduces complexity and improves efficiency by eliminating a large number of unrelated input factors and selecting a small number of input parameters with strong correlation. The efficiency of the algorithm is verified by the production workshop instance.

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