Accurate ultra-short-term wind power forecasting is a prerequisite for decision making
related to the management of power systems. Existing approaches used to forecast wind …

Based on wind speed, direction and power data, an assessment method of wind energy
potential using finite mixture statistical distributions is proposed. Considering the correlation …

Probability distributions are the building blocks of statistical modeling and inference. It is
therefore of the utmost importance to know which distribution to use in what circumstances …

Chemical storage of hydrogen, originated from renewable energy, is one of the most efficient
and reliable methods to absorb carbon dioxide (CO2) and easily transport large-scale …

This paper aims to evaluate the performance presented by different distribution models
when applied to onshore and offshore wind speed data and determine which distribution …

The Weibull probability distribution indicates the probability of a specific wind speed and
must be calculated before wind turbine installation. The Weibull distribution is affected by …

Brazil is one of the countries that invests the most in renewable energy generation. The
share of wind power sources in the Brazilian Electricity Matrix rose from 0.9% in 2012 to …

Highlights•Hydrogen liquefaction cycle, Kalina power cycle, and electrolyzer are efficiently
integrated.•Wind turbines are used based on weather conditions of Newfoundland and …

Wind energy has gradually become one of the most efficient and reliable forms of
sustainable energy, and it is being globally utilized to accelerate the expansion of green …

The average wind speed in a given area has a significant impact on the amount of energy
that can be harvested by wind turbines. The regions with the most attractive possibilities are …