Wind energy farms are moving into deeper and more remote waters to benefit from
availability of more space for the installation of wind turbines as well as higher wind speed …

Data Science for Wind Energy provides an in-depth discussion on how data science
methods can improve decision making for wind energy applications, near-ground wind field …

This study aims to show the application of stochastic optimization for efficient and robust
parameter calibration of engineering wake models. Standard values of the wake effect …

Long-term daily peak demand forecast plays an important role in the effective and economic
operations and planning of power systems. However, many uncertainties and building …

Parameter calibration in wake effect simulation model with stochastic gradient descent and
stratified sampling Page 1 The Annals of Applied Statistics 2022, Vol. 16, No. 3, 1795–1821 …

In this paper, a new semi-active fuzzy control strategy is proposed for controlling edgewise
vibrations of wind turbine blades under extreme wind. The control forces are provided by …

The volatile nature of wind power generation creates challenges in achieving secure power
grid operations. It is, therefore, necessary to accurately predict wind power and its …

The rotational stability of the floating offshore wind turbine tower plays a vital role in the
structural stability of the whole system. So, the protection of the system from probabilistic …

In industrial-scale wind farms, interactions among multiple turbines alter the power
generation efficiency of turbines. In general, turbines in downwind rows are impacted by …

This study develops new adaptive learning methods for a dynamic system where the
dependency among variables changes over time. In general, many statistical methods focus …