Day ahead global solar radiation forecasting using binary trees and factor analysis

Fumitoshi Nomiyama, Takuma Murakami, Joji Asai, Hirotaka Takano, Junichi Murata

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

A method is proposed for forecasting global solar radiation. The method is based on weather information using binary trees and factor analysis. The feature of this method is that it is possible to use a simple linear forecasting equation. The method has been tested on the meteorological and global solar radiation data obtained at several observation sites, and the results show that it is promising to be used to keep the balance between demand and supply of electric power in the near future power systems with a large number of photovoltaic systems installed.

Original languageEnglish
Pages (from-to)353-359
Number of pages7
JournalIEEJ Transactions on Power and Energy
Volume134
Issue number4
DOIs
Publication statusPublished - Jan 1 2014

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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