Wind energy is one of the most promising renewable energy resources for power
generation, and rapid growth has been seen in its acceptance since 2000. The most …

This paper provides an overview of the recent developments in data-based techniques
focused on modern industrial applications. As one of the hottest research topics for …

The building block of all economies across the world is subject to the medium in which
energy is harnessed. Renewable energy is currently one of the recommended substitutes for …

In this paper, a robust data-driven fault detection approach is proposed with application to a
wind turbine benchmark. The main challenges of the wind turbine fault detection lie in its …

Wind power generation is making an increasingly significant contribution to global electricity
production. The high penetration of wind power greatly affects the stability of modern power …

A grand challenge for state estimation in newly built smart grid lies in how to deal with the
increasing uncertainties. To solve the problem, we propose a data-driven state estimation …

Because of the harsh environmental impacts of fossil fuels, price fluctuation, and resource
limitation, renewable energy resources (RERs) are considered the ultimate solution to …

In this work, the problem of Fault Detection and Isolation (FDI) and Fault Tolerant Control
(FTC) of wind turbines is addressed. Fault detection is based on the use of interval …

Owing to the aerodynamic conversion process, wind turbines exhibit a nonlinear behavior
and encounter turbulent operating conditions that demand well-defined closed-loop …

This article presents an application of neural network-based Model Predictive Control (MPC)
to improve the wind turbine control system's performance in providing frequency control …