During the past decade, the development of offshore wind energy has transitioned from near
shore with shallow water to offshore middle-depth water regions. Consequently, the energy …

With an increasing focus on climate action and energy security, an appropriate mix of
renewable energy technologies is imperative. Despite having considerable global potential …

For wave energy converter control applications, autoregressive (AR) models have been
proposed as a simple wave forecasting method, solely based on measured or estimated …

Short-term wave forecasts are essential for the execution of marine operations. In this paper,
an efficient and reliable physics-based machine learning (PBML) model is proposed to …

This paper presents a comprehensive review of advanced control methods specifically
designed for floating offshore wind turbines (FOWTs) above the rated wind speed. Focusing …

The concept of the alpha-factor, a correction factor on the significant wave height limit, was
developed by DNV to consider the effect of weather forecast uncertainty in planning and …

Given the importance of wave excitation force prediction in most advanced control schemes
for wave energy converters, where every new wave force estimation becomes available …

Offshore renewable energy (ORE) systems are expected to play a pivotal role in addressing
global climate challenges by harnessing renewable energy sources from the ocean. This …

To tune the wave energy converter (WEC) controller parameters such as dam** to reduce
the line force during extreme wave conditions, future knowledge of the line force is required …

The high variability and unpredictability of renewable energy resources require optimization
of the energy extraction, by operating at the best efficiency point, which can be achieved …