Statistical Clear Sky Fitting Algorithm
Bennet Meyers, Michaelangelo Tabone, Emre Can Kara

TL;DR
This paper introduces a novel algorithm that estimates the clear sky performance of PV systems solely from observed power data, without requiring weather or system configuration information.
Contribution
The proposed method uniquely infers clear sky signals using only power measurements, bypassing traditional atmospheric and geometric modeling techniques.
Findings
Accurately estimates clear sky performance from power data alone
Does not require weather, irradiance, or system configuration information
Offers a new approach to PV system performance analysis
Abstract
We present an algorithm that estimates a clear sky performance signal from the measured power of a PV system. The algorithm uses only observed power output, and assumes no knowledge of weather, irradiance data, or system configuration metadata. This is a novel approach to understanding the clear sky behavior of an installed PV system, that does not rely on traditional atmospheric and geometric modeling techniques.
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Taxonomy
TopicsSolar Radiation and Photovoltaics · Photovoltaic System Optimization Techniques · Solar Thermal and Photovoltaic Systems
