Penalized total least squares method for dealing with systematic errors in partial EIV model and its precision estimation

Wang, Leyang; Xiong, Luyun; Chen, Tao

doi:10.1016/j.geog.2021.04.001

Cited by 5 publications

(4 citation statements)

References 15 publications

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“…The algorithms used in this example analysis are as follows: Overall least squares (OLS) [25],Weighted least squares (WLS) [18],Robust total least squares (RTLS).…”

Section: Topology Recognition Analysis Resultsmentioning

confidence: 99%

Topology identification of low-voltage station based on robust total least squares method

Yuan,

Cao,

Wang

2023

Second International Conference on Sustainable Technology and Management (ICSTM 2023)

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The low-voltage station area has a long-standing problem of line topology confusion, which leads to difficulties in locating faults in the distribution network and making maintenance difficult. In order to accurately identify the topological relationships of low-voltage stations, we proposes a low-voltage station topology identification algorithm based on the robust total least squares. We use the least squares method as the theoretical basis. Anti-variance estimation is added to the algorithm to further improve its ability to suppress coarse variances and thus improve recognition accuracy. The algorithm collects the active current values of customer meters in the station area at multiple time points. These data are used as the basis for establishing matrix equations to identify the topological relationships in the station area. Finally, the algorithm is compared with the least squares and weighted least squares to verify the accuracy of the algorithm. The results show that the Robust Total Least Squares has high accuracy for the topological identification of low-voltage station and is suitable for the application requirements of low-voltage station area.

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“…The algorithms used in this example analysis are as follows: Overall least squares (OLS) [25],Weighted least squares (WLS) [18],Robust total least squares (RTLS).…”

Section: Topology Recognition Analysis Resultsmentioning

confidence: 99%

Topology identification of low-voltage station based on robust total least squares method

Yuan,

Cao,

Wang

2023

Second International Conference on Sustainable Technology and Management (ICSTM 2023)

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show abstract

“…At present, the method of using multiple common points to complete data fusion depends on the point accuracy of the measurement system, and the point accuracy mainly depends on the sensing unit. From this point of view, the data fusion and optimization from the perspective of the sensing unit It is more direct, and it is more convenient for weighting processing to construct the constraint equation with the sensing unit [7] . Existing measurement systems can be divided into two categories: angle and distance constraints from the scope of sensing units.…”

Section: Data Fusion Methods Based On Multi-sensing Unitmentioning

confidence: 99%

“…The indoor GPS and camera are two horizontal and vertical angles. Angle constraints, the laser tracker has three constraints of horizontal angle, vertical angle and distance [7] . Therefore, two types of constraint equations of angle and distance need to be constructed on the basis of the mathematical model in the previous section.…”

Section: Data Fusion Methods Based On Multi-sensing Unitmentioning

confidence: 99%

“…If the point accuracy is not enough, the conversion accuracy will be greatly affected. Therefore, to solve such problems, the following two aspects need to be done: one is to establish a relatively stable public point as the carrier of spatial coordinates; the other is to study a high-precision data fusion method to improve the accuracy of collaborative measurement [4][5][6][7] .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A method for unifying measurement data based on reference conversion board

Zhao

et al. 2023

Ninth Symposium on Novel Photoelectronic Detection Technology and Applications

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It has become a developing trend that a variety of measurement systems complete the measurement task together under the unified coordinate system. At present, this measurement mode is used in the measurement of large components in the aerospace field. This paper carried out a method for unifying measurement data based on reference conversion board. At first, the constituent parts of the reference conversion board are introduced. And then, the data fusion method based on multiple sensing units is stated and the corresponding algorithms are formed. At last, a verification experiment is designed to prove the feasibility and accuracy of the method by using the laser tracker and reference conversion board.

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Relation between penalized least squares regression and Bayesian estimation in AWGN based on novel penalty function of Pareto density

Kittisuwan

2023

ICT Express

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Penalized total least squares method for dealing with systematic errors in partial EIV model and its precision estimation

Cited by 5 publications

References 15 publications

Topology identification of low-voltage station based on robust total least squares method

Topology identification of low-voltage station based on robust total least squares method

A method for unifying measurement data based on reference conversion board

Relation between penalized least squares regression and Bayesian estimation in AWGN based on novel penalty function of Pareto density

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