A evaluation method of wind farm power prediction based on principal component analysis and entropy methods

2016 ◽  
Author(s):  
Yao Qi ◽  
Liu Yu ◽  
Bai Kai ◽  
Sun Rongfu ◽  
Song Peng ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Wind Farm ◽  
Evaluation Method ◽  
Principal Component ◽  
Component Analysis ◽  
Power Prediction ◽  
Entropy Methods

scholarly journals Multiple Process Capability Improvement Method based on Principal Component Analysis

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Guangqi Ying ◽  
Yan Ran ◽  
Genbao Zhang ◽  
Yuxin Liu ◽  
Shengyong Zhang
Keyword(s):  
Principal Component Analysis ◽  
Principal Components ◽  
Evaluation Method ◽  
Process Capability ◽  
Principal Component ◽  
Component Analysis ◽  
Multiple Process ◽  
Improvement Method ◽  
Capability Evaluation ◽  
Capability Improvement

For the traditional multi-process capability construction method based on principal component analysis, the process variables are mainly considered, but not the process capability, which leads to the deviation of the contribution rate of principal component. In response to the question, this paper first clarifies the problem from two aspects: theoretical analysis and example proof. Secondly, aiming at the rationality of principal components degree, an evaluation method for pre-processing data before constructing MPCI using PCA is proposed. The pre-processing of data is mainly to standardize the specification interval of quality characteristics making the principal components degree more reasonable and optimizes the process capability evaluation method. Finally, the effectiveness and feasibility of the method are proved by an application example.

Electricity Competitiveness Evaluation Research Based on Principal Component Analysis

2014 ◽  
Vol 960-961 ◽  
pp. 1467-1472
Author(s):  
Dong Xiao Niu ◽  
Qiong Wang ◽  
Peng Wang ◽  
Shu Yi Zhou ◽  
Wei Dong Liu ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Evaluation Method ◽  
Evaluation Research ◽  
Correlation Method ◽  
Principal Component ◽  
Component Analysis ◽  
Evaluation Index System ◽  
Index Method ◽  
Comprehensive Index ◽  
Comprehensive Index Method

This paper constructs the evaluation index system of electricity competitiveness in terminal energy consumption, evaluates the electricity competitiveness in Ningxia region from 2005 to 2011 using principal component analysis (PCA), and compares the evaluation results of PCA, the linear weighted method, the comprehensive index method and TOPSIS-grey correlation method. The compatibility degree and difference degree of each method are analyzed and calculated to verify the applicability of the PCA. The results show that PCA is the most scientific and appropriate evaluation method.

Evaluation of Impact Factors of Deformity Intersection Capacity in Mountain Cities

2013 ◽  
Vol 405-408 ◽  
pp. 1865-1870
Author(s):  
Jing Ru Gao
Keyword(s):  
Principal Component Analysis ◽  
Theoretical Basis ◽  
Evaluation Method ◽  
Principal Component ◽  
Component Analysis ◽  
Impact Factors ◽  
Basic Information ◽  
Capacity Improvement ◽  
Information Database

Restricted by terrain, intersections in Mountain cities are always deformity intersections. Based on the researches on deformity intersections in Chongqing, this article establishes basic information database of these intersections, and then select the main impact factors of capacity among these deformity intersections through the evaluation method of principal component analysis, and provides a theoretical basis for study on capacity improvement of deformity intersections in mountain cities.

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