Formation-aware Cloud Segmentation of Ground-based Images with Applications to PV Systems

Juan Andrade, Sameeksha Katoch, Pavan Turaga, Andreas Spanias, Cihan Tepedelenlioglu, Kristen Jaskie

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

Abstract

Ground-based sky imaging has won popularity due to its higher temporal and spatial resolution when compared with satellite or air-borne sky imaging systems. Cloud identification and segmentation is the first step in several areas, such as climate research and lately photovoltaic power generation forecast. Cloud-sky segmentation involves several variables including sun position and type and altitude of clouds. We proposed a training-free cloud/sky segmentation based on a threshold that adapts to the cloud formation conditions. Experimental results show that the proposed method reaches higher detection accuracy against state-of-the-art algorithms; additionally, qualitative results over hemispherical high dynamic range (HDR) sky images are provided. The proposed cloud segmentation method can be applied to shading prediction for photovoltaic (PV) systems.

Original languageEnglish (US)
Title of host publication10th International Conference on Information, Intelligence, Systems and Applications, IISA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728149592
DOIs
StatePublished - Jul 2019
Event10th International Conference on Information, Intelligence, Systems and Applications, IISA 2019 - Patras, Greece
Duration: Jul 15 2019Jul 17 2019

Publication series

Name10th International Conference on Information, Intelligence, Systems and Applications, IISA 2019

Conference

Conference10th International Conference on Information, Intelligence, Systems and Applications, IISA 2019
CountryGreece
CityPatras
Period7/15/197/17/19

Keywords

  • Cloud segmentation
  • Curve fitting
  • Ground-based sky imaging
  • PV systems
  • Solar arrays
  • Training-free
  • Whole sky imager

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Information Systems and Management
  • Media Technology
  • Education

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  • Cite this

    Andrade, J., Katoch, S., Turaga, P., Spanias, A., Tepedelenlioglu, C., & Jaskie, K. (2019). Formation-aware Cloud Segmentation of Ground-based Images with Applications to PV Systems. In 10th International Conference on Information, Intelligence, Systems and Applications, IISA 2019 [8900762] (10th International Conference on Information, Intelligence, Systems and Applications, IISA 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IISA.2019.8900762