Forecasts of the wave heights can assist in the data-driven control of wave energy systems.
However, the dynamic properties and extreme fluctuations of the historical observations …

The wave energy sector has not reached a sufficient level of maturity for commercial
competitiveness, thus requiring further efforts towards optimizing existing technologies and …

Ocean renewable energy is a promising inexhaustible source of renewable energy, with an
estimated harnessing potential of approximately 337 GW worldwide, which could re-shape …

Accurate forecasting of the wave energy is crucial and has significant potential because
every wave meter possesses an energy amount ranging from 30 to 40 kW along the shore …

Wave energy, a promising renewable energy source, has the potential to diversify the global
energy mix significantly. Accurate forecasting of significant wave height (SWH) is crucial for …

In this paper we present a novel methodology, referenced as ORFEO (Ordinal classifier and
Regressor Fusion for Estimating an Ordinal categorical target), to enhance the performance …

The prediction of wave height and flux of energy is essential for most ocean engineering
applications. To simultaneously predict both wave parameters, this paper presents a novel …

This study uses a machine learning algorithm, the bagged regression tree, to detect error
patterns within 24-h forecasts of significant wave height time series. The input to the …

This paper presents a novel approach to tackle simultaneously short-and long-term energy
flux prediction (specifically, at 6 h, 12 h, 24 h and 48 h time horizons). The methodology …

Climate change “fuelled” by anthropogenic causes has been identified as the greatest threat
faced by societies. In this respect, the roadmap to a “greener” generation mix certainly …