Nowadays, learning-based modeling methods are utilized to build a precise forecast model
for renewable power sources. Computational Intelligence (CI) techniques have been …

The daily, seasonal, and interannual variability of solar and wind resources is well-
documented, based on evidence from multi-decadal meteorological time series. However …

The reliability of ERA5 reanalyses for directly predicting wind resources and energy
production has been assessed against observations from six tall towers installed over very …

Increasing the share of weather-dependent renewables in the electricity grid is essential to
deeply decarbonize the electricity system. Wind and solar “droughts” or low generation days …

The power supply from solar and wind generators is not only inherently variable but also
prone to failure due to rare-weather related events, ie, hailstorms, icing. Current system …

Solar and wind time variability may be mitigated by complementing each other, providing
firm power to the national grid at local and regional scales. The field commonly utilizes …

Developments in the design of wind turbines with augmentation are advancing around the
globe with the goal of generating electricity close to the user in built-up areas. This is certain …

Access to electricity via large scale power grids is seen as one of the solutions for a fully
renewable power system. However, it remains a huge technical, economical, and …

Abstract The United Kingdom is committed to substantially increasing offshore wind capacity
in its drive to decarbonise electricity production and achieve net zero. If low wind episodes …

The transition towards decarbonized power systems requires accounting for the impacts of
the climate variability and climate change on renewable energy sources. With the growing …