Convolutional Neural Networks applied to sky images for short-term solar irradiance forecasting. - Quentin Paletta; Joan Lasenby (CoRR, 2020)

A Temporally Consistent Image-based Sun Tracking Algorithm for Solar Energy Forecasting Applications. - Quentin Paletta; Joan Lasenby (CoRR, 2020)

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)

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)

Open-Source Ground-based Sky Image Datasets for Very Short-term Solar Forecasting, Cloud Analysis and Modeling: A Comprehensive Survey. - Yuhao Nie; Xiatong Li; Quentin Paletta; Max Aragon; Andea Scott; Adam Brandt (CoRR, 2022)

SkyGPT: Probabilistic Short-term Solar Forecasting Using Synthetic Sky Videos from Physics-constrained VideoGPT. - Yuhao Nie; Eric Zelikman; Andea Scott; Quentin Paletta; Adam Brandt (CoRR, 2023)