SKIPP'D: a SKy Images and Photovoltaic Power Generation Dataset for Short-term Solar Forecasting. - Yuhao Nie; Xiatong Li; Andea Scott; Yuchi Sun; Vignesh Venugopal; Adam Brandt (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)

Transformers Applied to Short-term Solar PV Power Output Forecasting. - Andea Scott; Sindhu Sreedhara; Folasade Ayoola (CoRR, 2025)