author keywords: solar irradiance forecasting; deep learning; convolutional neural network; satellite imagery; remote sensing; renewable energy

TL;DR: A convolutional global horizontal irradiance prediction model is developed, using Convolutional neural networks and publicly accessible satellite cloud images to ensure efficient harvesting of the solar energy and reliable operation of the grid. (via Semantic Scholar)