Daily Peak Load Forecasting by Taguchi's T Method

Negishi, Shintaro; Morimoto, Yusuke V.; Takayama, Satoshi; Ishigame, Atsushi

doi:10.1541/ieejeiss.136.794

Cited by 10 publications

(12 citation statements)

References 7 publications

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“…Taguchi's T‐method is a simple method using simple regression‐based models to obtain estimates, and to average them through weighting by estimation accuracy of each variable. Due to few mathematical constraints, simple‐regression weighted‐average models proved effective in electric energy forecast and other fields . However, when samples are insufficient in quantity, as is the case with development and early stages of mass production, Taguchi's T‐method using least squares for modeling may fail to produce adequate models when outliers occur because of measurement errors.…”

Section: Forewordmentioning

confidence: 99%

Taguchi's T‐method using median‐median line for small sample with outliers

Nishino

Suzuki

2018

Elect Comm in Japan

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This paper proposes an improvement to Taguchi's T-method. In product development, it is difficult to gather sufficient samples at the beginning of the development process.Taguchi's T-method was proposed as a method for constructing an estimation model in such a situation. However, if an outlier exists in the training data, Taguchi's T-method cannot obtain a correct estimation model. This is because Taguchi's T-method uses the least squares. Therefore, in this paper, we propose an improved version of Taguchi's T-method that does not degrade the accuracy of estimation by using a median-median line even for small training samples with outliers. The effectiveness of the proposed method is confirmed through experiments. We confirmed that the accuracy of the proposed method is superior to that of similar methods. K E Y W O R D S median-median line, multiple regression analysis, outlier, small sample, Taguchi's T-method Electron Comm Jpn. 2019;102:49-56.

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Section: Forewordmentioning

confidence: 99%

Taguchi's T‐method using median‐median line for small sample with outliers

Nishino

Suzuki

2018

Elect Comm in Japan

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“…Application of T-Method are still limited but keep increasing I yearly basis. There are a few case study on T-method application conducted within these six years past which dealing several sort prediction analysis such as (4)(5)(6). The practitioner of T-Method required to have clear understanding on the selected data behavior since the effect of outliers is not been considered within the population data selected.…”

Section: Introductionmentioning

confidence: 99%

Increasing T-Method Accuracy Through Application of Robust M-Estimatior

Harudin¹,

Jamaludin

Muhtazaruddin

et al. 2018

IJET

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“…[3][4][5] However, when samples are insufficient in quantity, as is the case with development and early stages of mass production, Taguchi's T-method using least squares for modeling may fail to produce adequate models when outliers occur because of measurement errors. Taguchi's T-method is a simple method using simple regression-based models to obtain estimates, and to average them through weighting by estimation accuracy of each variable.…”

Section: Forewordmentioning

confidence: 99%

Taguchi's T-method using Median-Median Line for Small Sample with Outliers

Nishino

Suzuki

2018

IEEJ Trans. IA

View full text Add to dashboard Cite

This paper proposes an improvement to Taguchi's T-method. In product development, it is difficult to gather sufficient samples at the beginning of the development process.Taguchi's T-method was proposed as a method for constructing an estimation model in such a situation. However, if an outlier exists in the training data, Taguchi's T-method cannot obtain a correct estimation model. This is because Taguchi's T-method uses the least squares. Therefore, in this paper, we propose an improved version of Taguchi's T-method that does not degrade the accuracy of estimation by using a median-median line even for small training samples with outliers. The effectiveness of the proposed method is confirmed through experiments. We confirmed that the accuracy of the proposed method is superior to that of similar methods. K E Y W O R D Smedian-median line, multiple regression analysis, outlier, small sample, Taguchi's T-method Electron Comm Jpn. 2019;102:49-56.

show abstract

Daily Peak Load Forecasting by Taguchi's T Method

Cited by 10 publications

References 7 publications

Taguchi's T‐method using median‐median line for small sample with outliers

Taguchi's T‐method using median‐median line for small sample with outliers

Increasing T-Method Accuracy Through Application of Robust M-Estimatior

Taguchi's T-method using Median-Median Line for Small Sample with Outliers

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