Within this work, machine learning models of site-specific machine learning models of wind
turbine power curves of the Beberibe Wind Farm in Brazil, which consists of 32 turbines and …

It is a phenomenon well-known to professional and private users of complex machines: in
most situations these machines do not deliver their full performance. This difference …

Existing power plants may consume significant amounts of fuel and require high operating
costs, partly because of poor electrical power output estimates. This paper suggests a …

In order to collect the energy from ocean waves, an important problem need to solve is the
mismatch between the external excitation and the resonant frequency of a harvester. Here …

Turbulence has a significant effect on wind farm power production and turbine reliability.
Since remote sensing devices, such as lidars, are commonly used in wind energy studies …

Wind turbine power curve models translate ambient conditions into turbine power output.
They are essential for energy yield prediction and turbine performance monitoring. In recent …

The functionality and the development of a smart city can be improved with the applications
of the machine learning tools in power electronics. Smart energy management, smart …

Abstract The International Electrotechnical Commission (IEC) describes the standard
procedure to measure the power performance of a wind turbine. Manufacturers follow the …

The global climate is changing as a result of human activities, particularly from fossil energy
use. In order to meet the issued global climate goals renewable energy sources will have a …

With the growth in world energy consumption and the need for more and more green energy
production, the harvest of renewable energy is increasingly popular in the modern world …