Benchmarking of deep learning irradiance forecasting models from sky images – An in-depth analysis von Paletta, Quentin, Arbod, Guillaume, Lasenby, Joan

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Omnivision forecasting: Combining satellite and sky images for improved deterministic and probabilistic intra-hour solar energy predictions von Paletta, Quentin, Arbod, Guillaume, Lasenby, Joan

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ECLIPSE: Envisioning CLoud Induced Perturbations in Solar Energy von Paletta, Quentin, Hu, Anthony, Arbod, Guillaume, Lasenby, Joan

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Sky image-based solar forecasting using deep learning with heterogeneous multi-location data: Dataset fusion versus transfer learning von Nie, Yuhao, Paletta, Quentin, Scott, Andea, Pomares, Luis Martin, Arbod, Guillaume, Sgouridis, Sgouris, Lasenby, Joan, Brandt, Adam

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Omnivision forecasting: combining satellite observations with sky images for improved intra-hour solar energy predictions von Paletta, Quentin, Arbod, Guillaume, Lasenby, Joan

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Benchmarking of Deep Learning Irradiance Forecasting Models from Sky Images -- an in-depth Analysis von Paletta, Quentin, Arbod, Guillaume, Lasenby, Joan

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SPIN: Simplifying Polar Invariance for Neural networks Application to vision-based irradiance forecasting von Paletta, Quentin, Hu, Anthony, Arbod, Guillaume, Blanc, Philippe, Lasenby, Joan

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ECLIPSE : Envisioning CLoud Induced Perturbations in Solar Energy von Paletta, Quentin, Hu, Anthony, Arbod, Guillaume, Lasenby, Joan

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Sky-image-based solar forecasting using deep learning with multi-location data: training models locally, globally or via transfer learning? von Nie, Yuhao, Paletta, Quentin, Scott, Andea, Pomares, Luis Martin, Arbod, Guillaume, Sgouridis, Sgouris, Lasenby, Joan, Brandt, Adam

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Omnivision forecasting: combining satellite observations with sky images for improved intra-hour solar energy predictions von Paletta, Quentin, Arbod, Guillaume, Lasenby, Joan

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Benchmarking of Deep Learning Irradiance Forecasting Models from Sky Images -- an in-depth Analysis von Paletta, Quentin, Arbod, Guillaume, Lasenby, Joan

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ECLIPSE : Envisioning CLoud Induced Perturbations in Solar Energy von Paletta, Quentin, Hu, Anthony, Arbod, Guillaume, Lasenby, Joan

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SPIN: Simplifying Polar Invariance for Neural networks Application to vision-based irradiance forecasting von Paletta, Quentin, Hu, Anthony, Arbod, Guillaume, Blanc, Philippe, Lasenby, Joan

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Sky-image-based solar forecasting using deep learning with multi-location data: training models locally, globally or via transfer learning? von Nie, Yuhao, Paletta, Quentin, Andea Scott, Luis Martin Pomares, Arbod, Guillaume, Sgouridis, Sgouris, Lasenby, Joan, Brandt, Adam

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