Sergey Kivalov

TL;DR: In this article, the authors presented a validation of the short and medium term global irradiance forecasts that are produced as part of the US SolarAnywhere (2010) data set.

TL;DR: In this paper, the authors report on the correlation between the irradiance variability observed at two neighboring sites as a function of their distance, and of the considered variability time scale, and show that the relationship between correlation, distance and time scale is predictable and largely independent of location and prevailing insolation conditions.

TL;DR: In this article, the authors presented a set of empirical models capable of extracting metrics quantifying the short-term variability of the solar resource based upon site/time specific satellite-derived hourly irradiance data.

TL;DR: In this paper, the authors summarized and analyzed recent research by the authors and others to understand, characterize and model solar resource variability, and showed that understanding solar energy variability requires a definition of the temporal and spatial context for which variability is assessed; and describes a predictable, quantifiable variability-smoothing space-time continuum from a single point to 1000's of km and from seconds to days.

TL;DR: In this paper, the authors describe a predictable, quantifiable variability-smoothing space-time continuum from a single point to thousands of kilometers and from seconds to days, and discuss the implications for solar penetration on the power grid and variability mitigation strategies.