Solar power forecasting: Difference between revisions

Revision as of 05:02, 24 March 2024

Revision as of 11:33, 24 May 2024

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==Short-term solar power forecasting==

[[File:Diagram-of-the-UCSD-sky-imager-USI-and-related-solar-and-sky-geometries-th-0-is-the.jpg|alt=|thumb|An example of sky-imager used for detecting, tracking and predicting cloud cover conditions in the vicinity of a solar energy facility of interest. Most often, these devices are used to make estimates of solar irradiance from the images using local calibration by a pyranometer. The solar irradiance short-term forecasts are then fed into PV power modelling routines to generate a solar power forecast. <br />Credit: [https://topex.ucsd.edu/rs/presentations/cortes.pdf UC San Diego]]]''Short-term'' forecasting provides predictions up to seven days ahead. Due to the power market regulation in many jurisdictions, intra-day forecasts and day-ahead solar power forecasts are the most important time horizons in this category. Basically all highly accurate short term forecasting methods leverage servalseveral data input streams such as meteorological variables, local weather phenomena and ground observations along with complex mathematical models.

=== Ground based sky observations ===