Open-Source Ground-based Sky Image Datasets for Very Short-term Solar Forecasting, Cloud Analysis and Modeling: A Comprehensive Survey

1 code implementation • 27 Nov 2022 • Yuhao Nie, Xiatong Li, Quentin Paletta, Max Aragon, Andea Scott, Adam Brandt

In this study, we present a comprehensive survey of open-source ground-based sky image datasets for very short-term solar forecasting (i. e., forecasting horizon less than 30 minutes), as well as related research areas which can potentially help improve solar forecasting methods, including cloud segmentation, cloud classification and cloud motion prediction.

motion prediction

SKIPP'D: a SKy Images and Photovoltaic Power Generation Dataset for Short-term Solar Forecasting

1 code implementation • 2 Jul 2022 • Yuhao Nie, Xiatong Li, Andea Scott, Yuchi Sun, Vignesh Venugopal, Adam Brandt

The dataset contains three years (2017-2019) of quality-controlled down-sampled sky images and PV power generation data that is ready-to-use for short-term solar forecasting using deep learning.