Benchmarking of Deep Learning Irradiance Forecasting Models from Sky Images - an in-depth Analysis. - Quentin Paletta; Guillaume Arbod; Joan Lasenby (CoRR, 2021)

ECLIPSE : Envisioning Cloud Induced Perturbations in Solar Energy. - Quentin Paletta; Anthony Hu 001; Guillaume Arbod; Joan Lasenby (CoRR, 2021)

SPIN: Simplifying Polar Invariance for Neural networks Application to vision-based irradiance forecasting. - Quentin Paletta; Anthony Hu 001; Guillaume Arbod; Philippe Blanc; Joan Lasenby (CVPR Workshops, 2022)

Combining Ontology and Natural Language Processing Methods for Prevention of Falls from Height. - Sarra Ben Abbès; Lynda Temal; Guillaume Arbod; Pierre-Luc Lanteri-Minet; Philippe Calvez (KGSWC, 2022)

Omnivision forecasting: combining satellite observations with sky images for improved intra-hour solar energy predictions. - Quentin Paletta; Guillaume Arbod; Joan Lasenby (CoRR, 2022)

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 Scott; Luis Martin Pomares; Guillaume Arbod; Sgouris Sgouridis; Joan Lasenby; Adam Brandt (CoRR, 2022)