Guillaume Arbod
4 Papers
3 Citations
Guillaume Arbod is an academic researcher. The author has contributed to research in topics: Computer science & Order (exchange). The author has an hindex of 1, co-authored 4 publications.
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Papers
Omnivision forecasting: Combining satellite and sky images for improved deterministic and probabilistic intra-hour solar energy predictions
TL;DR: In this article , the authors integrate sky images and satellite observations in a single machine learning framework to improve intra-hour (up to 60min ahead) irradiance forecasting, and show that the hybrid model benefits predictions in clear-sky conditions and improves longer-term forecasting.
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Sky-image-based solar forecasting using deep learning with multi-location data: training models locally, globally or via transfer learning?
Yuhao Nie,Quentin Paletta,Andea Scotta,Luis Martin Pomares,Guillaume Arbod,Sgouris Sgouridis,L. Lasenby,A. Brandt +7 more
TL;DR: In this paper , the authors explore three different training strategies for solar forecasting models by leveraging three heterogeneous datasets collected globally with different climate patterns, and compare the performance of local models trained individually based on single datasets and global models trained jointly based on the fusion of multiple datasets.
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Omnivision forecasting: combining satellite observations with sky images for improved intra-hour solar energy predictions
TL;DR: In this paper , the authors integrated sky images and satellite observations in a single machine learning framework to improve intra-hour (up to 60min ahead) irradiance forecasting, and evaluated both deterministic and probabilistic predictions in different weather conditions (clear-sky, cloudy, overcast) and with different input conditions (sky images, satellite observations and /or past irradiance values).
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