A non-parametric method for correction of global radiation observations

Bacher, Peder; Madsen, Henrik; Perers, Bengt; Nielsen, Henrik Aalborg

doi:10.1016/j.solener.2012.10.024

Cited by 10 publications

(6 citation statements)

References 16 publications

(21 reference statements)

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“…For this method the measurement of direct beam radiation and diffuse horizontal radiation is also required. Bacher et al (2013) presented a method for correcting several errors including leveling error. It does not require additional measurements, only a clear-sky global radiation model is needed.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, the second step was to estimate the clear-sky global radiation from the interpolated values. This model is based on local polynomial quantile regression (Koenker, 2005) similarly to non-parametric clear-sky models presented in Bacher et al (2009Bacher et al ( , 2013.…”

Section: Clear-sky Global Radiation Incident On the Plane Of The Pyramentioning

confidence: 99%

“…Correction methods developed for moving platforms is presented in Long et al (2010) and Boers et al (1998). Bacher et al (2013) presented a method to correct systematic errors, including leveling error. In their work the different types of systematic errors are not examined separately, all of them being corrected in one step.…”

Section: Introductionmentioning

confidence: 99%

“…Models estimating clear-sky global radiation were produced by using quantile regression (Koenker, 2005). Such statistical clear-sky models are described in details in Bacher et al (2009Bacher et al ( , 2013.…”

Section: Introductionmentioning

confidence: 99%

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A new method for checking the leveling of pyranometers

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Section: Discussionmentioning

confidence: 99%

Section: Clear-sky Global Radiation Incident On the Plane Of The Pyramentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A new method for checking the leveling of pyranometers

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“…This is most likely caused by local conditions like shadowing (by trees or buildings) or local recurrent weather phenomena such as sea breeze (Bacher et al . ()).…”

Section: Model Validationmentioning

confidence: 99%

Probabilistic forecasts of solar irradiance using stochastic differential equations

et al. 2014

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Summary: Probabilistic forecasts of renewable energy production provide users with valuable information about the uncertainty associated with the expected generation. Current state-of-the-art forecasts for solar irradiance have focused on producing reliable point forecasts. The additional information included in probabilistic forecasts may be paramount for decision makers to efficiently make use of this uncertain and variable generation. In this paper, a stochastic differential equation (SDE) framework for modeling the uncertainty associated with the solar irradiance point forecast is proposed. This modeling approach allows for characterizing both the interdependence structure of prediction errors of short-term solar irradiance and their predictive distribution. A series of different SDE models are fitted to a training set and subsequently evaluated on a one-year test set. The final model proposed is defined on a bounded and time-varying state space with zero probability almost surely of events outside this space.

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A framework for developing data-driven correction factors for solar PV systems

Ahn

2024

Energy

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A non-parametric method for correction of global radiation observations

Cited by 10 publications

References 16 publications

A new method for checking the leveling of pyranometers

A new method for checking the leveling of pyranometers

Probabilistic forecasts of solar irradiance using stochastic differential equations

A framework for developing data-driven correction factors for solar PV systems

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