In this paper, a new technique of daily peak load forecasting is proposed. At first, we propose nonlinear correction T method as improvement technique of T method that is one of the multivariate analysis techniques, called Mahalanobis–Taguchi (MT) system, suggested in Quality Control. Moreover, we examine the daily peak load forecasting technique, which is based on data in the last year on a forecasting day, by T method and nonlinear correction T method. Furthermore, we examine the technique, which is based on the data of most recent several weeks of a forecasting day, by the T method and Nonlinear correction T method. In addition, the effectiveness of the proposed method by comparing the multiple regression analysis is discussed.
Daily Peak Load Forecasting by Taguchi's T Method
Electrical engineering in Japan ; 201 , 1
2017
Aufsatz (Zeitschrift)
Englisch
Daily Electric Load Forecasting Using Artificial Neural Network
Online Contents | 1995
|Robust Design for Occupant Protection System Using Taguchi's Method
SAE Technical Papers | 2007
|Robust Design for Occupant Protection System Using Taguchi's Method
British Library Conference Proceedings | 2007
|