Improvement of prediction interval estimation algorithm with just-in-time modeling for PV system operation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Output of the photovoltaic (PV) system drastically fluctuates depending on weather conditions. Therefore users of PV systems should manage their energy usage with forecast information of the PV output. Due to the reasons above, we have developed an estimation method of X% prediction interval of solar irradiance. We have achieved a high-accuracy prediction interval for any prediction coefficient X%. However, we found that there are some errors in a case where the prediction coefficient is high. In this paper, we improve the estimation algorithm of the prediction interval.

Original languageEnglish
Title of host publication2015 IEEE 42nd Photovoltaic Specialist Conference, PVSC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479979448
DOIs
Publication statusPublished - 2015 Dec 14
Event42nd IEEE Photovoltaic Specialist Conference, PVSC 2015 - New Orleans, United States
Duration: 2015 Jun 142015 Jun 19

Other

Other42nd IEEE Photovoltaic Specialist Conference, PVSC 2015
CountryUnited States
CityNew Orleans
Period15/6/1415/6/19

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

Cite this

Yamazaki, T., Wakao, S., Fujimoto, Y., & Hayashi, Y. (2015). Improvement of prediction interval estimation algorithm with just-in-time modeling for PV system operation. In 2015 IEEE 42nd Photovoltaic Specialist Conference, PVSC 2015 [7355994] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PVSC.2015.7355994