With the world-wide deployment of solar energy for a sustainable and renewable future, the
stochastic and volatile nature of solar power pose significant challenges to the reliable …

Solar radiation components assessment is a highly required parameter for solar energy
applications. Due to the non-stationary behavior of solar radiation parameters and variety of …

The study of high-entropy (HE) alloys has seen dramatic growth in recent years as, in some
cases, these systems can exhibit exceptional properties, including enhanced oxidation …

Identification of nonlinear systems finds extensive applications in control design and stability
analysis. To identify complex nonlinear systems, the neural network has drawn the attention …

A new hybrid model combining the kernel functions along with the random vector functional
link neural network (RVFLN) is proposed in this paper for an effective solar power prediction …

The paper reports the forecasting model for multiple time-domain photovoltaic power plants,
developed in response to the necessity of bad weather days' accurate and robust power …

Robust control of underactuated nonlinear systems is a challenging task using conventional
methods because of uncertainties which may lead to failure especially for mechanical and …

Solar power generation through photovoltaic technology is one of the most popular
renewable energy sources. But solar energy is a non-dispatchable source and it is dynamic …

Criminal cases are social problems that concern the public order and good morals of the
citizens as a whole. Research in criminology has recently focused on finding the root causes …

Accurate and reliable forecast of Photovoltaic (PV) power is crucial for power system
dispatch and control. In this paper, a novel short-term PV generation forecast approach …