Daily load curve forecasting via automatic selection of models

Junichi Murata, K. Kimura, S. Sagara, T. Kamakura

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

A forecasting method which can be easily implemented on a computer is described. The development involves an objective way of representing the relationship between the load and its determining factors. In the paper a forecasting method is proposed which uses automatically selected models and objective descriptions for accounting for the effects of temperatures and day kinds e.g. weekdays and weekends, on daily load curves. A daily load curve forecasting method is proposed. In the method, the best load model is selected automatically based on a criterion, and the special days effect on the load is classified and modeled. Thus we can treat the time varying nature of the load and special days effects in a suitable and effective way.

Original languageEnglish
Pages (from-to)270-272
Number of pages3
JournalIEE Conference Publication
Issue number336
Publication statusPublished - Jan 1 1991

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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