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John Ringwood
John Ringwood
Professor of Electronic Engineering, Maynooth University
Email confirmado em nuim.ie - Página inicial
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Energy-maximizing control of wave-energy converters: The development of control system technology to optimize their operation
JV Ringwood, G Bacelli, F Fusco
IEEE Control Systems 34 (5), 30-55, 2014
4742014
Short-term wave forecasting for real-time control of wave energy converters
F Fusco, JV Ringwood
IEEE Transactions on Sustainable Energy 1 (2), 99-106, 2010
3572010
Optimal control, MPC and MPC-like algorithms for wave energy systems: An overview
N Faedo, S Olaya, JV Ringwood
IFAC Journal of Systems and Control 1, 37-56, 2017
2962017
Mathematical modelling of wave energy converters: A review of nonlinear approaches
M Penalba, G Giorgi, JV Ringwood
Renewable and Sustainable Energy Reviews 78, 1188-1207, 2017
2842017
High-fidelity numerical modelling of ocean wave energy systems: A review of computational fluid dynamics-based numerical wave tanks
C Windt, J Davidson, JV Ringwood
Renewable and Sustainable Energy Reviews 93, 610-630, 2018
2622018
Variability reduction through optimal combination of wind/wave resources–An Irish case study
F Fusco, G Nolan, JV Ringwood
Energy 35 (1), 314-325, 2010
2592010
A review of wave-to-wire models for wave energy converters
M Penalba, JV Ringwood
Energies 9 (7), 506, 2016
2212016
A simple and effective real-time controller for wave energy converters
F Fusco, JV Ringwood
IEEE Transactions on sustainable energy 4 (1), 21-30, 2012
2142012
Mathematical modelling of mooring systems for wave energy converters—A review
J Davidson, JV Ringwood
Energies 10 (5), 666, 2017
2122017
Slow oscillations in blood pressure via a nonlinear feedback model
JV Ringwood, SC Malpas
American Journal of Physiology-Regulatory, Integrative and Comparative …, 2001
1952001
A review of wave energy technology from a research and commercial perspective
B Guo, JV Ringwood
IET Renewable Power Generation 15 (14), 3065-3090, 2021
1772021
Forecasting electricity demand on short, medium and long time scales using neural networks
JV Ringwood, D Bofelli, FT Murray
Journal of Intelligent and Robotic Systems 31, 129-147, 2001
1672001
Hydrodynamic control of wave energy devices
UA Korde, J Ringwood
Cambridge University Press, 2016
1662016
Using NEMOH for modelling wave energy converters: A comparative study with WAMIT
M Penalba, T Kelly, J Ringwood
12th European Wave and Tidal Energy Conf., 1-10, 2017
1652017
Geometric optimisation of wave energy conversion devices: A survey
B Guo, JV Ringwood
Applied Energy 297, 117100, 2021
1452021
Numerical optimal control of wave energy converters
G Bacelli, JV Ringwood
IEEE Transactions on Sustainable Energy 6 (2), 294-302, 2015
1452015
A study of the prediction requirements in real-time control of wave energy converters
F Fusco, JV Ringwood
IEEE Transactions on Sustainable Energy 3 (1), 176-184, 2011
1422011
On the assessment of numerical wave makers in CFD simulations
C Windt, J Davidson, P Schmitt, JV Ringwood
Journal of Marine Science and Engineering 7 (2), 47, 2019
1232019
Productivity and economic assessment of wave energy projects through operational simulations
B Teillant, R Costello, J Weber, J Ringwood
Renewable Energy 48, 220-230, 2012
1232012
On the influence of weather forecast errors in short-term load forecasting models
D Fay, JV Ringwood
IEEE transactions on power systems 25 (3), 1751-1758, 2010
1202010
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