sigma: Normalized standard deviation of the slope between sequential...

In dslaw/clearskies: Clear Sky Models

Description

The normalized standard deviation of the slope (sigma) is one of the five criterion for detecting clear points. It is defined as follows:

σ = \frac{1}{ {\overline{GHI}} } √{ \frac{1}{n-1} ∑_{i=1}^{n-1} (s_{i} {\overline{s}})^2 }

where {\overline{GHI}} is the mean of the measured irradiance values, s_{i} = GHI_{i+1} - GHI_{i} and {\overline{s}} is the sample standard deviation of s.

Arguments

x	Numeric vector of measured irradiance.

References

Global Horizontal Irradiance Clear Sky Models: Implementation and Analysis, Reno et al, 2012, pp. 30.

dslaw/clearskies documentation built on May 15, 2019, 4:21 p.m.