Highly-accurate short-term forecasting photovoltaic output power architecture without meteorological observations in smart grid

Jun Matsumoto, Daisuke Ishii, Satoru Okamoto, Eiji Oki, Naoaki Yamanaka

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

3 Citations (Scopus)

Abstract

We propose a forecasting architecture of near future photovoltaic output power based on the multipoint output power data via smart meter. The conventional forecasting methods are based on the analysis of meteorological observation data, and need the implementation of dedicated meters and the connection to them. Moreover, highly-accurate forecasting(in second-scale, or meter-scale) is difficult in the conventional methods. Our proposed method is based on not meteorological observation data but the actual measured output power data by using the solar panels connected with a smart meter as sensing units. A forecasting calculation server interpolate spatially the actual measured data collected from multipoint, and forecasts near future output power in each point using optical flow estimation. Virtual sampling technique involves the forecast performance when the sampling point is sparse. We show the forecasting method achieves high accuracy of less than 5% error rate by the computer simulation.

Original languageEnglish
Title of host publicationProceedings of 2011 1st International Symposium on Access Spaces, ISAS 2011
Pages186-190
Number of pages5
DOIs
Publication statusPublished - 2011 Aug 23
Event2011 1st International Symposium on Access Spaces, ISAS 2011 - Yokohama, Japan
Duration: 2011 Jun 172011 Jun 19

Publication series

NameProceedings of 2011 1st International Symposium on Access Spaces, ISAS 2011

Other

Other2011 1st International Symposium on Access Spaces, ISAS 2011
CountryJapan
CityYokohama
Period11/6/1711/6/19

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Highly-accurate short-term forecasting photovoltaic output power architecture without meteorological observations in smart grid'. Together they form a unique fingerprint.

  • Cite this

    Matsumoto, J., Ishii, D., Okamoto, S., Oki, E., & Yamanaka, N. (2011). Highly-accurate short-term forecasting photovoltaic output power architecture without meteorological observations in smart grid. In Proceedings of 2011 1st International Symposium on Access Spaces, ISAS 2011 (pp. 186-190). [5960945] (Proceedings of 2011 1st International Symposium on Access Spaces, ISAS 2011). https://doi.org/10.1109/ISAS.2011.5960945