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Ten-Minute Prediction of Solar Irradiance Based Cloud Detection and a Long Short-Term Memory (LSTM) Model

https://doi.org/10.2139/ssrn.3944467
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16/16 checkable references clean · checked 2026-07-23

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

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The 16 checked references that resolve
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The 2020 photovoltaic technologies roadmap
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Mitigating methods of power fluctuation of photovoltaic (PV) sources – A review
resolves10.1016/j.renene.2019.05.069
Very short-term solar irradiance forecast using all-sky imaging and real-time irradiance measurements
resolves10.1016/j.enconman.2013.12.048
Nowcasting solar irradiance using the sunshine number
resolves10.1016/j.solener.2014.07.026
Streamline-based method for intra-day solar forecasting through remote sensing
resolves10.1007/s40565-019-0551-4
Inter-hour direct normal irradiance forecast with multiple data types and time-series
resolves10.1016/j.apenergy.2016.01.130
A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset
resolves10.1016/j.solener.2016.04.020
Forecasting short-term solar irradiance based on artificial neural networks and data from neighboring meteorological stations
resolves10.1016/j.rser.2013.08.055
Solar radiation prediction using Artificial Neural Network techniques: A review
resolves10.5194/amt-8-4671-2015
An automated cloud detection method based on the green channel of total-sky visible images
resolves10.1175/JTECH-D-13-00209.1
A Smart Image-Based Cloud Detection System for Intrahour Solar Irradiance Forecasts
resolves10.1016/j.atmosres.2012.05.005
Cloud detection and classification with the use of whole-sky ground-based images
resolves10.1175/JTECH-D-11-00009.1
A Hybrid Thresholding Algorithm for Cloud Detection on Ground-Based Color Images
resolves10.1109/TSMC.1979.4310076
A Threshold Selection Method from Gray-Level Histograms
resolves10.1016/S0038-092X(02)00045-2
A new airmass independent formulation for the Linke turbidity coefficient
resolves10.1029/2018WR022643
A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists
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no DOI — not checkedRetrieving Cloud Characteristics from Ground-Based Daytime Color All-Sky Images
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What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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