Designing a Multi-Stage Expert System for daily ocean wave energy forecasting: A multivariate data decomposition-based approach

Review on Deep Learning Research and Applications in Wind and Wave Energy

(2022) Chengcheng Gu et al.   Energies

Deep Learning Prediction for Rotational Speed of Turbine in Oscillating Water Column-Type Wave Energy Converter

(2022) Chan Roh et al.   Energies

A Critical Review of Power Take-Off Wave Energy Technology Leading to the Conceptual Design of a Novel Wave-Plus-Photon Energy Harvester for Island/Coastal Communities’ Energy Needs

(2022) Kushal A. Prasad et al.   Sustainability

Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives

(2022) J. Del Ser et al.   APPLIED SOFT COMPUTING

Wave energy converter array layout optimization: A critical and comprehensive overview

(2022) Bo Yang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A methodology for architecture agnostic and time flexible representations of wave energy converter performance

(2021) Bryson Robertson et al.   APPLIED ENERGY

A novel solution for simulating air overpressure resulting from blasting using an efficient cascaded forward neural network

(2021) Jie Zeng et al.   ENGINEERING WITH COMPUTERS

Specific Heat Capacity of Molten Salt-based Nanofluid in Solar Thermal Applications: A Paradigm of Two Modern Ensemble Machine Learning Methods

(2021) Mehdi Jamei et al.   JOURNAL OF MOLECULAR LIQUIDS

Multivariate modeling of soil suction response to various rainfall by multi-gene genetic programing

(2021) Zhi-Liang Cheng et al.   Acta Geotechnica

An insight into machine learning models era in simulating soil, water bodies and adsorption heavy metals: Review, challenges and solutions

(2021) Zaher Mundher Yaseen   CHEMOSPHERE

Ensemble machine learning paradigms in hydrology: A review

(2021) Mohammad Zounemat-Kermani et al.   JOURNAL OF HYDROLOGY

Functionalization of remote sensing and on-site data for simulating surface water dissolved oxygen: Development of hybrid tree-based artificial intelligence models

(2021) Tiyasha Tiyasha et al.   MARINE POLLUTION BULLETIN

Linking renewable energy, globalization, agriculture, CO2 emissions and ecological footprint in BRIC countries: A sustainability perspective

(2021) Ugur Korkut Pata   RENEWABLE ENERGY

Analysis of Wave Energy Resources Around the Saint Martin Island in Bangladesh

(2021) Mohua Das et al.   Journal of Marine Science and Application

Future wind and wave energy resources and exploitability in the Mediterranean Sea by 2100

(2021) Andrea Lira-Loarca et al.   APPLIED ENERGY

Maximising the hydrodynamic performance of offshore oscillating water column wave energy converters

(2021) Eric Gubesch et al.   APPLIED ENERGY

Development of a 2-D deep learning regional wave field forecast model based on convolutional neural network and the application in South China Sea

(2021) Gen Bai et al.   APPLIED OCEAN RESEARCH

Machine learning on sustainable energy: A review and outlook on renewable energy systems, catalysis, smart grid and energy storage

(2021) Daniel Rangel-Martinez et al.   CHEMICAL ENGINEERING RESEARCH & DESIGN

A framework for feature selection through boosting

(2021) Ahmad Alsahaf et al.   EXPERT SYSTEMS WITH APPLICATIONS

The assessment of emerging data-intelligence technologies for modeling Mg+2 and SO4−2 surface water quality

(2021) Mehdi Jamei et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Prediction of Maximum Scour Depth near Spur Dikes in Uniform Bed Sediment Using Stacked Generalization Ensemble Tree-Based Frameworks

(2021) Manish Pandey et al.   JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING

Optimization of the electricity generation of a wave energy converter using deep reinforcement learning

(2021) Shangyan Zou et al.   OCEAN ENGINEERING

Experimental evaluation and development of predictive models for rheological behavior of aqueous Fe3O4 ferrofluid in the presence of an external magnetic field by introducing a novel grid optimization based-Kernel ridge regression supported by sensitivity analysis

(2021) Amin Shahsavar et al.   POWDER TECHNOLOGY

Advanced extreme learning machines vs. deep learning models for peak wave energy period forecasting: A case study in Queensland, Australia

(2021) Mumtaz Ali et al.   RENEWABLE ENERGY

Successive multivariate variational mode decomposition based on instantaneous linear mixing model

(2021) Shuaishuai Liu et al.   SIGNAL PROCESSING

Assessment of scouring around spur dike in cohesive sediment mixtures: A comparative study on three rigorous machine learning models

(2021) Manish Pandey et al.   JOURNAL OF HYDROLOGY

Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia

(2020) Mohammad Ali Ghorbani et al.   SOFT COMPUTING

A granular deep learning approach for predicting energy consumption

(2020) Rabin K. Jana et al.   APPLIED SOFT COMPUTING

Using large-scale climate drivers to forecast meteorological drought condition in growing season across the Australian wheatbelt

(2020) Puyu Feng et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Prediction of surface water total dissolved solids using hybridized wavelet-multigene genetic programming: New approach

(2020) Mehdi Jamei et al.   JOURNAL OF HYDROLOGY

Solar radiation prediction using multi-gene genetic programming approach

(2020) Hatice Citakoglu et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Ocean wave energy forecasting using optimised deep learning neural networks

(2020) P.M.R. Bento et al.   OCEAN ENGINEERING

Satellite-based ground PM2.5 estimation using a gradient boosting decision tree

(2020) Tianning Zhang et al.   CHEMOSPHERE

The implementation of univariable scheme-based air temperature for solar radiation prediction: New development of dynamic evolving neural-fuzzy inference system model

(2019) Ozgur Kisi et al.   APPLIED ENERGY

Interval prediction of wave energy characteristics using meta-cognitive interval type-2 fuzzy inference system

(2019) Nguyen Anh et al.   KNOWLEDGE-BASED SYSTEMS

On the sensitivity and uncertainty of wave energy conversion with an artificial neural-network-based controller

(2019) Liang Li et al.   OCEAN ENGINEERING

Prediction of short-term wind and wave conditions for marine operations using a multi-step-ahead decomposition-ANFIS model and quantification of its uncertainty

(2019) Mengning Wu et al.   OCEAN ENGINEERING

Multivariate Variational Mode Decomposition

(2019) Naveed ur Rehman et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Significant wave height and energy flux estimation with a Genetic Fuzzy System for regression

(2018) L. Cornejo-Bueno et al.   OCEAN ENGINEERING

Perspectives on a way forward for ocean renewable energy in Australia

(2018) Mark A. Hemer et al.   RENEWABLE ENERGY

Wave prediction using wave rider position measurements and NARX network in wave energy conversion

(2018) Mohammed A.A. Desouky et al.   APPLIED OCEAN RESEARCH

A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring

(2017) Yufei Xia et al.   EXPERT SYSTEMS WITH APPLICATIONS

Regional ocean wave height prediction using sequential learning neural networks

(2017) N. Krishna kumar et al.   OCEAN ENGINEERING

Application of neural networks and support vector machine for significant wave height prediction

(2017) Jadran Berbić et al.   OCEANOLOGIA

An overview of medium- to long-term predictions of global wave energy resources

(2017) Chong Wei Zheng et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Wave and tidal current energy – A review of the current state of research beyond technology

(2016) Andreas Uihlein et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Feature selection using Joint Mutual Information Maximisation

(2015) Mohamed Bennasar et al.   EXPERT SYSTEMS WITH APPLICATIONS

Simulating and forecasting ocean wave energy in western Canada

(2015) Gordon Reikard et al.   OCEAN ENGINEERING

Combining wave energy with wind and solar: Short-term forecasting

(2015) Gordon Reikard et al.   RENEWABLE ENERGY

Feature Selection with theBorutaPackage

(2015) Miron B. Kursa et al.   Journal of Statistical Software

The use of feed-forward back propagation and cascade correlation for the neural network prediction of surface water quality parameters

(2014) Moussa S. Elbisy et al.   Water Resources

Analysis of Modulated Multivariate Oscillations

(2011) Jonathan M. Lilly et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Forecasting ocean wave energy: The ECMWF wave model and time series methods

(2011) Gordon Reikard et al.   OCEAN ENGINEERING

Status and potentials of offshore wave energy resources in Chahbahar area (NW Omman Sea)

(2011) Ali Rashid et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions

(2010) Holger R. Maier et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Short-Term Wave Forecasting for Real-Time Control of Wave Energy Converters

(2010) Francesco Fusco et al.   IEEE Transactions on Sustainable Energy

Progress in ocean wave forecasting

(2007) Peter A.E.M. Janssen   JOURNAL OF COMPUTATIONAL PHYSICS