Isolating cloud induced noise to improve generation of synthetic surface solar irradiances

Flanagan, RR; Talbot, P.; Osborne, AG; Rabiti, C.; Deinert, MR

doi:10.1016/j.adapen.2021.100045

Title: Isolating cloud induced noise to improve generation of synthetic surface solar irradiances

Authors:: Flanagan, RR; Talbot, P.; Osborne, AG; Rabiti, C.; Deinert, MR

Publication Date:: 2021-08-01

Sponsoring Org.:: USDOE

OSTI Identifier:: 1817786

Resource Type:: Published Article

Journal Name:: Advances in Applied Energy

Additional Journal Information:: Journal Name: Advances in Applied Energy Journal Volume: 3 Journal Issue: C; Journal ID: ISSN 2666-7924

Publisher:: Elsevier

Country of Publication:: United Kingdom

Language:: English

Citation Formats


                    Flanagan, RR, Talbot, P., Osborne, AG, Rabiti, C., and Deinert, MR. Isolating cloud induced noise to improve generation of synthetic surface solar irradiances.  United Kingdom: N. p., 2021. 
Web.  doi:10.1016/j.adapen.2021.100045.

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                    Flanagan, RR, Talbot, P., Osborne, AG, Rabiti, C., & Deinert, MR. Isolating cloud induced noise to improve generation of synthetic surface solar irradiances.  United Kingdom.  https://doi.org/10.1016/j.adapen.2021.100045

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                    Flanagan, RR, Talbot, P., Osborne, AG, Rabiti, C., and Deinert, MR. Sun .  
"Isolating cloud induced noise to improve generation of synthetic surface solar irradiances".  United Kingdom.  https://doi.org/10.1016/j.adapen.2021.100045.

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@article{osti_1817786,

  title        = {Isolating cloud induced noise to improve generation of synthetic surface solar irradiances},

  author       = {Flanagan, RR and Talbot, P. and Osborne, AG and Rabiti, C. and Deinert, MR},

  abstractNote = {},

  doi          = {10.1016/j.adapen.2021.100045},

  journal      = {Advances in Applied Energy},

  number       = C,

  volume       = 3,

  place        = {United Kingdom},

  year         = {2021},

  month        = {8}

}

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Works referenced in this record:

Hourly global solar irradiation forecasting for New Zealand
journal, December 2015

Ahmad, A.; Anderson, T. N.; Lie, T. T.
Solar Energy, Vol. 122
DOI: 10.1016/j.solener.2015.10.055

Benchmark of Concentrating Solar Power Plants: Historical, Current and Future Technical and Economic Development
journal, January 2016

Chaanaoui, Meriem; Vaudreuil, Sébastien; Bounahmidi, Tijani
Procedia Computer Science, Vol. 83
DOI: 10.1016/j.procs.2016.04.167

The impacts of wind and solar on grid flexibility requirements in the Electric Reliability Council of Texas
journal, March 2017

Deetjen, Thomas A.; Rhodes, Joshua D.; Webber, Michael E.
Energy, Vol. 123
DOI: 10.1016/j.energy.2017.02.021

Generation of hourly irradiation synthetic series using the neural network multilayer perceptron
journal, May 2002

Hontoria, L.; Aguilera, J.; Zufiria, P.
Solar Energy, Vol. 72, Issue 5
DOI: 10.1016/S0038-092X(02)00010-5

Solar radiation forecasting using artificial neural network and random forest methods: Application to normal beam, horizontal diffuse and global components
journal, March 2019

Benali, L.; Notton, G.; Fouilloy, A.
Renewable Energy, Vol. 132
DOI: 10.1016/j.renene.2018.08.044

Prediction of hourly solar radiation using a novel hybrid model of ARMA and TDNN
journal, May 2011

Ji, Wu; Chee, Keong Chan
Solar Energy, Vol. 85, Issue 5
DOI: 10.1016/j.solener.2011.01.013

Correlated synthetic time series generation for energy system simulations using Fourier and ARMA signal processing
journal, March 2020

Talbot, Paul W.; Rabiti, Cristian; Alfonsi, Andrea
International Journal of Energy Research, Vol. 44, Issue 10
DOI: 10.1002/er.5115

Estimation of hourly global solar irradiation on tilted planes from horizontal one using artificial neural networks
journal, March 2012

Notton, Gilles; Paoli, Christophe; Vasileva, Siyana
Energy, Vol. 39, Issue 1
DOI: 10.1016/j.energy.2012.01.038

Stochastic modeling and forecasting of solar radiation data
journal, January 1977

Goh, T. N.; Tan, K. J.
Solar Energy, Vol. 19, Issue 6
DOI: 10.1016/0038-092X(77)90041-X

The impact of turbulent renewable energy production on power grid stability and quality
journal, November 2017

Schmietendorf, Katrin; Peinke, Joachim; Kamps, Oliver
The European Physical Journal B, Vol. 90, Issue 11
DOI: 10.1140/epjb/e2017-80352-8

Prediction of Hourly Solar Radiation in Six Provinces in Turkey by Artificial Neural Networks
journal, December 2012

Solmaz, Ozgur; Ozgoren, Muammer
Journal of Energy Engineering, Vol. 138, Issue 4
DOI: 10.1061/(ASCE)EY.1943-7897.0000080

Green Innovation Value Chain analysis of PV solar power
journal, February 2014

Olson, Erik L.
Journal of Cleaner Production, Vol. 64
DOI: 10.1016/j.jclepro.2013.07.050

New sunshine-based models for predicting global solar radiation using PSO (particle swarm optimization) technique
journal, May 2011

Behrang, M. A.; Assareh, E.; Noghrehabadi, A. R.
Energy, Vol. 36, Issue 5
DOI: 10.1016/j.energy.2011.02.048

Solar radiation prediction using Artificial Neural Network techniques: A review
journal, May 2014

Yadav, Amit Kumar; Chandel, S. S.
Renewable and Sustainable Energy Reviews, Vol. 33
DOI: 10.1016/j.rser.2013.08.055

Bayesian rules and stochastic models for high accuracy prediction of solar radiation
journal, February 2014

Voyant, Cyril; Darras, Christophe; Muselli, Marc
Applied Energy, Vol. 114
DOI: 10.1016/j.apenergy.2013.09.051

The National Solar Radiation Data Base (NSRDB)
journal, June 2018

Sengupta, Manajit; Xie, Yu; Lopez, Anthony
Renewable and Sustainable Energy Reviews, Vol. 89
DOI: 10.1016/j.rser.2018.03.003

Evaluating rotational inertia as a component of grid reliability with high penetrations of variable renewable energy
journal, August 2019

Johnson, Samuel C.; Papageorgiou, Dimitri J.; Mallapragada, Dharik S.
Energy, Vol. 180
DOI: 10.1016/j.energy.2019.04.216

Synthetic generation of high temporal resolution solar radiation data using Markov models
journal, May 2014

Ngoko, B. O.; Sugihara, H.; Funaki, T.
Solar Energy, Vol. 103
DOI: 10.1016/j.solener.2014.02.026

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Title: Isolating cloud induced noise to improve generation of synthetic surface solar irradiances

Citation Formats

Hourly global solar irradiation forecasting for New Zealand journal, December 2015

Benchmark of Concentrating Solar Power Plants: Historical, Current and Future Technical and Economic Development journal, January 2016

The impacts of wind and solar on grid flexibility requirements in the Electric Reliability Council of Texas journal, March 2017

Generation of hourly irradiation synthetic series using the neural network multilayer perceptron journal, May 2002

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Prediction of hourly solar radiation using a novel hybrid model of ARMA and TDNN journal, May 2011

Correlated synthetic time series generation for energy system simulations using Fourier and ARMA signal processing journal, March 2020

Estimation of hourly global solar irradiation on tilted planes from horizontal one using artificial neural networks journal, March 2012

Stochastic modeling and forecasting of solar radiation data journal, January 1977

The impact of turbulent renewable energy production on power grid stability and quality journal, November 2017

Prediction of Hourly Solar Radiation in Six Provinces in Turkey by Artificial Neural Networks journal, December 2012

Green Innovation Value Chain analysis of PV solar power journal, February 2014

New sunshine-based models for predicting global solar radiation using PSO (particle swarm optimization) technique journal, May 2011

Solar radiation prediction using Artificial Neural Network techniques: A review journal, May 2014

Bayesian rules and stochastic models for high accuracy prediction of solar radiation journal, February 2014

The National Solar Radiation Data Base (NSRDB) journal, June 2018

Evaluating rotational inertia as a component of grid reliability with high penetrations of variable renewable energy journal, August 2019

Synthetic generation of high temporal resolution solar radiation data using Markov models journal, May 2014

Hourly global solar irradiation forecasting for New Zealand
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journal, January 2016

The impacts of wind and solar on grid flexibility requirements in the Electric Reliability Council of Texas
journal, March 2017

Generation of hourly irradiation synthetic series using the neural network multilayer perceptron
journal, May 2002

Solar radiation forecasting using artificial neural network and random forest methods: Application to normal beam, horizontal diffuse and global components
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Correlated synthetic time series generation for energy system simulations using Fourier and ARMA signal processing
journal, March 2020

Estimation of hourly global solar irradiation on tilted planes from horizontal one using artificial neural networks
journal, March 2012

Stochastic modeling and forecasting of solar radiation data
journal, January 1977

The impact of turbulent renewable energy production on power grid stability and quality
journal, November 2017

Prediction of Hourly Solar Radiation in Six Provinces in Turkey by Artificial Neural Networks
journal, December 2012

Green Innovation Value Chain analysis of PV solar power
journal, February 2014

New sunshine-based models for predicting global solar radiation using PSO (particle swarm optimization) technique
journal, May 2011

Solar radiation prediction using Artificial Neural Network techniques: A review
journal, May 2014

Bayesian rules and stochastic models for high accuracy prediction of solar radiation
journal, February 2014

The National Solar Radiation Data Base (NSRDB)
journal, June 2018

Evaluating rotational inertia as a component of grid reliability with high penetrations of variable renewable energy
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Synthetic generation of high temporal resolution solar radiation data using Markov models
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