Change-point detection in solar panel performance analysis

Youngjun Choe, Eunshin Byon, Jionghua Jin, Weihong Guo, Jingjing Li

Research output: Contribution to conferencePaperpeer-review


The performance degradation, or the energy output loss over time, of solar panel array is a major concern to solar energy stakeholders. A wide variety of degradation rates has been reported in the literature with respect to technologies, ages, manufacturers, and geographic locations. With such a variety of factors involved, it is very difficult, if not impossible, to find a parametric model to detect abrupt performance change. We present a nonparametric detection method to retrospectively identify the time points of abrupt changes, and demonstrate its superiority over other detection methods using simulated and real data. The proposed method will help solar energy stakeholders in several aspects including warranty underwriting, preventive maintenance planning, and financial analysis.

Original languageEnglish (US)
Number of pages6
StatePublished - 2020
Event2016 Industrial and Systems Engineering Research Conference, ISERC 2016 - Anaheim, United States
Duration: May 21 2016May 24 2016


Conference2016 Industrial and Systems Engineering Research Conference, ISERC 2016
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering


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