The article discusses the use of machine learning algorithms to predict solar irradiance at different time horizons. The ability to predict solar irradiance accurately is essential for the efficient operation and management of solar power systems. In this article, the authors detail how machine learning algorithms can be used to predict solar irradiance at various time horizons. The article also notes that all articles published by MDPI are immediately available under an open access license, meaning that they can be reused without permission as long as the original article is cited.
The company mentioned in this article is MDPI, an open access publisher that makes its articles available under an open access license. MDPI publishes articles on a wide range of topics, including science, engineering, and technology.
The person mentioned in this article is the author of the study on predicting solar irradiance using machine learning algorithms. The article does not mention the author’s name or affiliation. However, it highlights the importance of accurate solar irradiance prediction for the efficient operation of solar power systems.
