Day-Ahead Global Solar Radiation Forecasting Using Binary Trees and Factor Analysis

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

doi:10.1002/eej.22751

Day-Ahead Global Solar Radiation Forecasting Using Binary Trees and Factor Analysis

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

Section of Measurement and Control Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

SUMMARY 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 meteorological and global solar radiation data obtained at several observation sites, and the results show that it is a promising means of maintaining the balance between demand and supply of electric power in power systems of the near future with a large number of photovoltaic systems installed.

Original language	English
Pages (from-to)	13-21
Number of pages	9
Journal	Electrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi)
Volume	196
Issue number	3
DOIs	https://doi.org/10.1002/eej.22751
Publication status	Published - Aug 1 2016

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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10.1002/eej.22751

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title = "Day-Ahead Global Solar Radiation Forecasting Using Binary Trees and Factor Analysis",

abstract = "SUMMARY 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 meteorological and global solar radiation data obtained at several observation sites, and the results show that it is a promising means of maintaining the balance between demand and supply of electric power in power systems of the near future with a large number of photovoltaic systems installed.",

author = "Fumitoshi Nomiyama and Takuma Murakami and Joji Asai and Hirotaka Takano and Junichi Murata",

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AU - Nomiyama, Fumitoshi

AU - Murakami, Takuma

AU - Asai, Joji

AU - Takano, Hirotaka

AU - Murata, Junichi

PY - 2016/8/1

Y1 - 2016/8/1

N2 - SUMMARY 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 meteorological and global solar radiation data obtained at several observation sites, and the results show that it is a promising means of maintaining the balance between demand and supply of electric power in power systems of the near future with a large number of photovoltaic systems installed.

AB - SUMMARY 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 meteorological and global solar radiation data obtained at several observation sites, and the results show that it is a promising means of maintaining the balance between demand and supply of electric power in power systems of the near future with a large number of photovoltaic systems installed.

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Day-Ahead Global Solar Radiation Forecasting Using Binary Trees and Factor Analysis

Abstract

All Science Journal Classification (ASJC) codes

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