Complex-valued neural networks (CVNNs) have shown their excellent efficiency compared
to their real counter-parts in speech enhancement, image and signal processing …

Wind energy has become one of the most important forms of renewable energy. Wind
energy conversion systems are more sophisticated and new approaches are required based …

The Internet of Things (IoT) is set to become one of the key technological developments of
our times provided we are able to realize its full potential. The number of objects connected …

Wind power curves play important roles in wind power forecasting, wind turbine condition
monitoring, estimation of wind energy potential and wind turbine selection. In practice, it is a …

With the continuous increase of wind power penetration in power systems, the problems
caused by the volatile nature of wind speed and its occurrence in the system operations …

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 …

Wind turbine power curve modeling is an important tool in turbine performance monitoring
and power forecasting. There are several statistical techniques to fit the empirical power …

We propose a physics-inspired data-driven model that can estimate the power outputs of all
wind turbines in any layout under any wind conditions. The proposed model comprises two …

Forecasting of energy-related variables is crucial for accurate planning and management of
electrical power grids, aiming at improving overall efficiency and performance. In this paper …

Wind energy integration research generally relies on complex sensors located at remote
sites. The procedure for generating high-level synthetic information from databases …