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

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

doi:10.1541/ieejpes.134.353

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

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 language	English
Pages (from-to)	353-359
Number of pages	7
Journal	IEEJ Transactions on Power and Energy
Volume	134
Issue number	4
DOIs	https://doi.org/10.1541/ieejpes.134.353
Publication status	Published - 2014

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1541/ieejpes.134.353

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T1 - Day ahead global solar radiation forecasting using binary trees and factor analysis

AU - Nomiyama, Fumitoshi

AU - Murakami, Takuma

AU - Asai, Joji

AU - Takano, Hirotaka

AU - Murata, Junichi

PY - 2014

Y1 - 2014

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AB - 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.

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

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

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