The ongoing world-wide increase of installed photovoltaic (PV) power attracts notice to
weather-induced PV power output variability. Understanding the underlying spatiotemporal …

Characterizing short-term variability of generated solar power is important for the integration
of photovoltaic (PV) systems into the electrical grid. Using different kinds of high frequency …

Precise sky classification as a function of cloudiness is desirable or necessary in a variety of
applications. CAELUS, a novel classification algorithm that relies on various thresholds to …

The amount of solar radiation reaching the Earth surface (surface solar irradiance, SSI) is
critical for a variety of applications, ranging from surface–atmosphere interactions to solar …

Accurate and detailed retrieval of global horizontal irradiance (GHI) has many benefits, for
instance, in support of the energy transition towards an energy supply with a high share of …

Solar energy reaching a horizontal surface can possess fluctuations that impact electricity
generation at a solar plant. Despite this, energy access remains inadequate, particularly in …

Industrial activities are transitioning towards decarbonization, focusing on renewable energy
sources, particularly photovoltaic solar energy. However, the inherent high variability of …

Solar generation facilities are inherently spatially distributed and therefore aggregate solar
irradiance in both space and time, smoothing its variability. To represent the spatiotemporal …

Clear-sky index (CSI) generative models are of paramount importance in, eg, studying the
integration of solar power in the electricity grid. Several models have recently been …

The role of clouds in recent Arctic warming is not fully understood, including their effects on
the solar radiation and the surface energy budget. To investigate relevant small-scale …