New Developments in Renewable Energy

Abstract

Dr. Arman has taught several different courses in undergraduate and graduate levels related to engineering, environment and geology. His research interests include environmental degradation, water resources, global warming, climate change, renewable and sustainable energy sources. Dr. Arman has published in different peer reviewed national and international scientific journals. In addition to be an editorial board member of several international journals, he also is acting as a scientific reviewer in many others. He was in organization committee of both 1st and 2nd International Conference on Renewable Energy: Generation and Applications (ICREGA) which was held in 2010 and 2012 in Al Ain, UAE.

Improved Stochastic Modeling: An Essential Tool for Power System Scheduling in the Presence of Uncertain Renewables

“…The cumulative distribution function of a vector of random variables can be expressed in terms of marginal distribution functions of each component and a copula function. The basic idea behind the copula method is described as the Sklar's theorem [21]. It shows that a multivariate cumulative distribution function (CDF) can be expressed in terms of a multivariate uniform distribution function with marginal density functions U(0,1).…”

“…Then, by substitution of these functions into Copula likelihood functions, the Copula functions are calculated so that the Copula likelihood functions are maximized. Further discussion on the mathematical background and the calculation methods can be found in [21][22][23] which is suggested to be pursued by the interested reader.…”