Solar Radiation and Photovoltaics
This cluster of papers focuses on the application of machine learning methods, particularly artificial neural networks, for forecasting solar radiation and photovoltaic power generation. It covers topics such as solar energy integration, grid-connected PV plant performance prediction, solar position algorithms, and GIS-based site selection for solar farms.
Papers listed on taxonomy pages are the top few works per node from the OpenAlex snapshot. That list is not exhaustive and is not an endorsement. The topic map and the journal registry remain separate: there is still no authoritative topic-to-venue or topic-to-organization edge. Search is a lexical lookup, not a claim that a venue publishes a topic.