Energy-Maximizing Control of Wave-Energy Converters: The Development of Control System Technology to Optimize Their Operation
John V. Ringwood;Giorgio Bacelli;Francesco Fusco.
IEEE Control Systems Magazine (2014)
Short-Term Wave Forecasting for Real-Time Control of Wave Energy Converters
Francesco Fusco;John V Ringwood.
IEEE Transactions on Sustainable Energy (2010)
Slow oscillations in blood pressure via a nonlinear feedback model
John V. Ringwood;Simon C. Malpas.
American Journal of Physiology-regulatory Integrative and Comparative Physiology (2001)
Variability reduction through optimal combination of wind/wave resources – An Irish case study
Francesco Fusco;Gary Nolan;John V. Ringwood.
Mathematical modelling of wave energy converters: A review of nonlinear approaches
Markel Penalba;Giussepe Giorgi;John V. Ringwood.
Renewable & Sustainable Energy Reviews (2017)
Forecasting Electricity Demand on Short, Medium and Long Time Scales Using Neural Networks
J. V. Ringwood;D. Bofelli;F. T. Murray.
Journal of Intelligent and Robotic Systems (2001)
A Simple and Effective Real-Time Controller for Wave Energy Converters
F. Fusco;J. V. Ringwood.
IEEE Transactions on Sustainable Energy (2013)
Optimal control, MPC and MPC-like algorithms for wave energy systems: An overview
Nicolás Faedo;Sébastien Olaya;John V. Ringwood.
IFAC Journal of Systems and Control (2017)
A Review of Wave-to-Wire Models for Wave Energy Converters
Markel Penalba;John V. Ringwood.
High-fidelity numerical modelling of ocean wave energy systems: A review of computational fluid dynamics-based numerical wave tanks
Christian Windt;Josh Davidson;John V. Ringwood.
Renewable & Sustainable Energy Reviews (2018)
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