https://escholarship.org/content/qt5dk0b8t5/qt5dk0b8t5.pdf?t=q9piey

History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining

Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia

Assessment of solar radiation resources in Saudi Arabia

A comparative study of LSTM neural networks in forecasting day-ahead global horizontal irradiance with satellite data

Preliminary survey on site-adaptation techniques for satellite-derived and reanalysis solar radiation datasets

This report presents detailed information about solar resource data and the resulting data products needed for each stage of a solar energy project, from initial site selection to systems operations. It also contains a summary of solar forecasting and its development throughout the last few years. The U.S. Department of Energy's Solar Energy Technologies Office, project developers, engineering procurement construction firms, utility companies, system operators, energy suppliers, financial investors, and others involved in solar energy systems planning and development will find this handbook to be a valuable resource for the collection and interpretation of solar resource data. This handbook is expected to be used as a reference during each project stage.

https://hal-mines-paristech.archives-ouvertes.fr/hal-01184753/document

Tom Stoffel

Papers

Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications