Economic analysis is an important tool in evaluating the performances of microgrid (MG)
operations and sizing. Optimization techniques are required for operating and sizing an MG …

In the modern era, deep learning is a powerful technique in the field of wind energy
forecasting. The deep neural network effectively handles the seasonal variation and …

Wind energy is one of the supremely renewable energy sources and has been widely
established worldwide. Due to strong seasonal variations in the wind resource, accurate …

The application of innovative technologies in the manufacture of wind turbines (WT) has
produced more efficient WT that can operate successfully in low wind speed (LWS) …

Statistical distribution approaches have been developed to describe wind data due to the
intermittent and unpredictable nature of wind speed. The Weibull distribution with two …

For a better use of wind energy, the accurate selection of the wind speed distributions that
best represents the regarding wind regime's characteristics is essential. The Weibull …

Wind energy is one of the most promising alternates of fossil fuels because of its abundant
availability, low cost, and pollution-free attributes. Wind potential estimation, wind …

As the wind speed is intermittent and unpredictable, statistical distribution approaches have
been used to describe wind dates. The Weibull distribution with two parameters is thought to …

The Weibull distribution is one of the most popular statistical models extensively applied to
lifetime data analysis such as survival data, reliability data, wind speed, and recently in …

This work demonstrates a techno-economical assessment of wind energy potential for four
passes of Tamil Nadu (Aralvaimozhi, Shencottah, Palghat, and Cumbum) with uncertainty …