Abstract
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 language | English (US) |
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Pages | 236-241 |
Number of pages | 6 |
State | Published - 2020 |
Event | 2016 Industrial and Systems Engineering Research Conference, ISERC 2016 - Anaheim, United States Duration: May 21 2016 → May 24 2016 |
Conference
Conference | 2016 Industrial and Systems Engineering Research Conference, ISERC 2016 |
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Country/Territory | United States |
City | Anaheim |
Period | 5/21/16 → 5/24/16 |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Industrial and Manufacturing Engineering