Wind-generated wave energy is a renewable energy source that exhibits a huge potential
for sustainable growth. The design and deployment of wave energy converters at a given …

This paper investigates model predictive control (MPC) of a single sea wave energy
converter (WEC). By using control schemes which constrain certain quantities, such as the …

Wave energy offers a promising renewable energy source, however, technologies
converting wave energy into useful electricity face many design challenges. This guide …

A model-free algorithm is developed for the reactive control of a wave energy converter.
Artificial neural networks are used to map the significant wave height, wave energy period …

Remotely operated vehicle (ROV) operations are today typically supported by large
designated vessels. New emerging concepts aim to streamline ROV operations by utilizing …

We present here a combined aggregative short-term load forecasting method for smart grids,
a novel methodology that allows us to obtain a global prognosis by summing up the …

Accurate surface wave predictions have the potential to greatly enhance the safety and
efficiency of many offshore applications, such as active control of wave energy converters …

The phase-resolved wave prediction based on physical methods is difficult to ensure both
accuracy and efficiency simultaneously. In recent years, Artificial Neural Network (ANN) has …

Accurate predictions of surface waves and subsequent wave-induced vessel motion have
the potential to improve safety and efficiency for a wide range of offshore operations, such as …

In this paper, the performance of different ordinal and nominal multi-class classifiers is
evaluated, in a problem of wave energy range prediction using meteorological variables …