Segmentation of Deposition Periods: An Opportunity to Improve PV Soiling Extraction

Matthew Muller, Leonardo Micheli, Eduardo Fernandez, Florencia Almonacid

Research output: Contribution to conferencePaperpeer-review

5 Scopus Citations


Soiling profiles are commonly assumed to have sawtooth shapes, made of alternating cleaning events and soiling deposition periods. The rates at which soiling deposit on the PV modules are considered to be constant for each period. In reality, events such as changes in climatic conditions can lead to a sudden variation in soiling deposition rate. These changes cannot be reproduced if cleanings are the only events modelled to extract soiling profiles directly from PV performance data. For this reason, in this work, the use of change points and segmented regression is proposed to improve the extraction of soiling profiles through the model of up to two deposition rates per period in between cleanings. The results show that the quality of soiling extraction can be enhanced compared to a cleanings-only identification approach if both cleanings and change points are considered.

Original languageAmerican English
Number of pages4
StatePublished - 14 Jun 2020
Event47th IEEE Photovoltaic Specialists Conference, PVSC 2020 - Calgary, Canada
Duration: 15 Jun 202021 Aug 2020


Conference47th IEEE Photovoltaic Specialists Conference, PVSC 2020

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

NREL Publication Number

  • NREL/CP-5K00-79411


  • Monitoring
  • Photovoltaic Systems
  • Regression Analysis
  • Soiling
  • Time Series Analysis


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