All-sky image processing for solar energy applications

Hsu Yung Cheng, Chih Chang Yu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this work, we aim at perform short-term prediction on the solar irradiance in order to allow the Photovoltaics (PV) operators to manage and allocate energy supplies. Making accurate short-term prediction helps ensure the stability of power supply without the need to reserve too much energy. All-sky cameras are devices that can be used to monitor the behaviors of the sun and the clouds. By analyzing all-sky images, we extract features that can be used to predict solar irradiance via a trained regression model. The results of this work could provide very useful information for PV operators to ensure greater efficiency of the solar energy supply. Categories and Subject Descriptors I.5.m [Pattern Recognition]: Miscellaneous General Terms Algorithms.

Original languageEnglish
Title of host publicationICIMCS 2014 - Proceedings of the 6th International Conference on Internet Multimedia Computing and Service
PublisherAssociation for Computing Machinery
Pages185-188
Number of pages4
ISBN (Print)9781450328104
DOIs
StatePublished - 2014
Event6th International Conference on Internet Multimedia Computing and Service, ICIMCS 2014 - Xiamen, China
Duration: 10 Jul 201412 Jul 2014

Publication series

NameACM International Conference Proceeding Series

Conference

Conference6th International Conference on Internet Multimedia Computing and Service, ICIMCS 2014
Country/TerritoryChina
CityXiamen
Period10/07/1412/07/14

Keywords

  • All-sky image
  • Regression
  • Solar irradiance prediction

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