Bottom-up energy system models are often based on hourly time steps due to limited
computational tractability or data availability. However, in order to properly assess the …

Wind forecasts are widely spread because of the growth in wind power, but also because
there are other applications to consider, such as the long-term scenario forecasts regarding …

In this paper the multiverse optimization (MVO) was used for estimating Weibull parameters.
These parameters were further used to analyze the wind data available at a particular …

Climate change impacts and adaptations are ongoing issues that are attracting the attention
of many researchers. Insight into the wind power potential in an area and its probable …

This paper investigates the Weibull distribution analysis for an accuracy global solar
irradiance assessment considering period measurements based on several and grou** …

To forecast wind power generation in the scale of years to decades, outputs from climate
models are often used. However, one major limitation of the data projected by these models …

Wind energy is critical in the global shift towards renewable energy sources, necessitating
accurate potential assessments for informed decision-making and strategic development in …

The distribution model of wind-speed data is critical for the assessment of wind-energy
potential because it reduces uncertainties in the estimation of wind power output. Thus, an …

Wind power fluctuations are typical of small size wind farms and may be a limiting factor in
isolated small-size systems. An electric storage can be used to mitigate these fluctuations …

As the wind energy is of stochastic in nature, the identification of wind energy potential is
required before the establishment of wind control to find the best sites. This research …