This paper proposes a novel approach to predict solar radiation using machine learning techniques, including random forests and neural networks.
A tutorial on using machine learning to predict solar radiation, including data preprocessing, feature engineering, and model evaluation.
A study on using deep learning techniques, such as convolutional neural networks and recurrent neural networks, to forecast solar radiation.
An overview of the use of machine learning in predicting solar radiation, including its applications and benefits in the energy sector.
A paper on using support vector machines to predict solar radiation, including the development of a predictive model and its evaluation.
A competition on Kaggle to predict solar radiation using machine learning techniques, including a dataset and evaluation metrics.
A study on using machine learning and satellite data to forecast solar radiation, including the development of a predictive model and its evaluation.
An online course on using machine learning to predict solar radiation, including lectures, assignments, and a final project.