Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition
Data-intelligent algorithms designed for forecasting significant height of coastal waves over
the relatively short time period in coastal zones can generate crucial information about …
the relatively short time period in coastal zones can generate crucial information about …
Feature selection in machine learning prediction systems for renewable energy applications
This paper focuses on feature selection problems that arise in renewable energy
applications. Feature selection is an important problem in machine learning, both in …
applications. Feature selection is an important problem in machine learning, both in …
Dynamic ensemble deep echo state network for significant wave height forecasting
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 …
However, the dynamic properties and extreme fluctuations of the historical observations …
Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms
Globally, major emphasis is currently being put in utilization and optimization of more
sustainable and renewable energy resources, to overcome the future energy demand issues …
sustainable and renewable energy resources, to overcome the future energy demand issues …
The performance of some state-of-the-art wave energy converters in locations with the worldwide highest wave power
The main objectives of the present work are to review the global wave energy resources
according to the most recent datasets available, to identify the locations with the worldwide …
according to the most recent datasets available, to identify the locations with the worldwide …
Modern meta-heuristics based on nonlinear physics processes: A review of models and design procedures
S Salcedo-Sanz - Physics Reports, 2016 - Elsevier
Meta-heuristic algorithms are problem-solving methods which try to find good-enough
solutions to very hard optimization problems, at a reasonable computation time, where …
solutions to very hard optimization problems, at a reasonable computation time, where …
[HTML][HTML] Review on layout optimization strategies of offshore parks for wave energy converters
F Teixeira-Duarte, D Clemente, G Giannini… - … and Sustainable Energy …, 2022 - Elsevier
Layout optimization of wave energy offshore parks is a challenging task, as it encompasses
various design objectives and constraints attributed to the complex hydrodynamic …
various design objectives and constraints attributed to the complex hydrodynamic …
[HTML][HTML] Towards data-driven and data-based control of wave energy systems: Classification, overview, and critical assessment
Currently, a significant effort in the world research panorama is focused on finding efficient
solutions to a carbon-free energy supply, wave energy being one of the most promising …
solutions to a carbon-free energy supply, wave energy being one of the most promising …
[HTML][HTML] Hybrid deep learning model for wave height prediction in Australia's wave energy region
Waves are emerging as a renewable energy resource, but the harnessing of such energy
remains among the least developed in terms of renewable energy technologies on a …
remains among the least developed in terms of renewable energy technologies on a …
[HTML][HTML] Ocean energy applications for coastal communities with artificial intelligencea state-of-the-art review
Y Zhou - Energy and AI, 2022 - Elsevier
Ocean energy plays essential roles in reducing carbon emission and transforming towards
carbon neutrality, with cleaner power production, whereas the vertical cascade ocean …
carbon neutrality, with cleaner power production, whereas the vertical cascade ocean …