With economic development and population growth, energy demand has shown an upward
trend. Renewable energy is inexhaustible and causes little pollution, which has broad …

The statistical characteristics of wind and the selection of suitable wind turbines are
essential to effectively evaluate wind energy potential and design wind farms. Using four …

For the evaluation of wind energy potential, probability density functions (pdfs) are usually
used to describe wind speed distributions. The selection of the appropriate pdf reduces the …

Structural health monitoring (SHM) systems installed on long-span bridges can obtain
environmental data around them. To deeply mine the correlation between types of data, this …

The quality of life and safeness of the present and future generations are strongly
intertwined with the availability of energy sources and the sustainability of the energy …

Weibull distribution is widely used for modeling the wind speed data in literature. However,
in real life, the wind speed data may not always be modeled by using the Weibull …

Estimating the wind speed correctly and reliably plays a key role in managing and operating
wind energy power systems. Therefore an novelty adaptive estimation model (NAEM) …

In this paper, a new combined model coupling the linear autoregressive moving average
(ARMA) model and the nonlinear artificial neural network (ANN) model has been proposed …

Wind velocity and potential are frequently estimated using probability density functions
(PDFs) such as the Inverse Weibull and Rayleigh. Determining whether they are suitable for …

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 …