English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

To facilitate the development of solar power forecasting algorithms based onground-based visible wavelength remote sensing, we have developed a highdynamic range (HDR) camera system capable of providing hemispherical skyimagery from the circumsolar region to the horizon at a high spatial,temporal, and radiometric resolution. The University of California, San DiegoSky Imager (USI) captures multispectral, 16 bit, HDR images as fast as every1.3 s. This article discusses the system design and operation in detail,provides a characterization of the system dark response and photoresponselinearity, and presents a method to evaluate noise in high dynamic rangeimagery. The system is shown to have a radiometrically linear response towithin 5% in a designated operating region of the sensor. Noise for HDRimagery is shown to be very close to the fundamental shot noise limit. Thecomplication of directly imaging the sun and the impact on solar powerforecasting is also discussed. The USI has performed reliably in a hot, dryenvironment, a tropical coastal location, several temperate coastallocations, and in the great plains of the United States

Development of a sky imaging system for short-term solar power forecasting