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Solar Radiation Prediction Based on Convolution Neural Network and Long Short-Term Memory
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Direct normal irradiance forecasting and its application to concentrated solar thermal output forecasting – A review
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3D-CNN-based feature extraction of ground-based cloud images for direct normal irradiance prediction
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Development of an ANN based corrective algorithm of the operational ECMWF global horizontal irradiation forecasts
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OpenSolar: Promoting the openness and accessibility of diverse public solar datasets
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Cloud Coverage Based on All-Sky Imaging and Its Impact on Surface Solar Irradiance
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Enhancements in Day-Ahead Forecasts of Solar Irradiation with Machine Learning: A Novel Analysis with the Japanese Mesoscale Model
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Deep Learning to Forecast Solar Irradiance Using a Six-Month UTSA SkyImager Dataset
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Near Real-Time Global Solar Radiation Forecasting at Multiple Time-Step Horizons Using the Long Short-Term Memory Network
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NREL Solar Radiation Research Laboratory (SRRL): Baseline Measurement System (BMS); Golden, Colorado (Data)
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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