This article presents a comprehensive overview of the digital twin technology and its
capability levels, with a specific focus on its applications in the wind energy industry. It …

The intermittent nature of wind energy raised multiple challenges to the power systems and
is the biggest challenge to declare wind energy a reliable source. One solution to overcome …

Renewable sources such as solar PV and wind are stochastic in nature, hence their
integration with emerging isolated microgrid (MG) is challenging especially with regards to …

Data-driven approaches show significant potential in accurately forecasting the power
generation of wind turbines. However, it suffers from a lack of training data in various …

The rising share of renewable energy in the energy mix brings with it new challenges such
as power curtailment and lack of reliable large-scale energy grid. The forecasting of wind …

Accurate prediction of wind speed is significant importance in various applications such as
renewable energy management, weather prediction, and aviation safety. However, more …

Due to the variability, proneness to outside influences, and constantly fluctuating nature of
ultra-short-term wind speed sequences, wind speed forecasts in wind farms are not precise …

A straightforward decomposition technique applied to hourly wind capacity factor time-series
data compiled at the country level can enhance short-term forecasting over the coming …

Clean energy has taken center stage in discussions about how to ensure that humanity has
a sustainable future when fossil resources are depleted. Wind energy is also playing a …

Sustainable energy resources have proved to be the best alternative in the wake of
environmental degradation, depletion of ozone layer and ever-increasing demand for …