The use of renewable energy resources, especially wind power, is receiving strong attention
from governments and private institutions, since it is considered one of the best and most …

The probability density function (PDF) of wind speed is important in numerous wind energy
applications. A large number of studies have been published in scientific literature related to …

The recent statements of both the European Union and the US Presidency pushed in the
direction of using renewable forms of energy, in order to act against climate changes …

One of the conditions of submission of a paper for publication is that authors declare
explicitly that their work is original and has not been submitted to nor appeared in another …

In addition to the probability density function (pdf) derived with maximum entropy principle
(MEP), several kinds of mixture probability functions have already been applied to estimate …

Measured wind speed data are not available for most sites in the mountainous regions of
India. The objective of present study is to predict wind speeds for 11 locations in the Western …

This paper examines the integration of new sources of renewable energy into the power
systems in Europe—challenges and possible solutions, application of wind power prediction …

Abstract So-called Measure-Correlate-Predict (MCP) methods have been extensively
proposed in renewable energy related literature to estimate the wind resources that …

Energy is the prime mover of economic growth and is vital to sustain a modern economic
and social development. Renewable energy applications have brought about significant …

Wind speed knowledge is prerequisite in the siting of wind turbines. In consequence the
wind energy use requires meticulous and specified knowledge of the wind characteristics at …