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Optimization and Energy Maximizing Control Systems for Wave Energy Converters

The book, “Optimization and Energy Maximizing Control Systems for Wave Energy Converters”, presents eleven contributions on the latest scientific advancements of 2020-2021 in wave energy technology optimization and control, including holistic techno-economic optimization, inclusion of nonlinear effe...

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Guardat en:
Format: Online
Idioma:anglès
Publicat: MDPI - Multidisciplinary Digital Publishing Institute 2022
Matèries:
wave energy
wave energy converter
PeWEC
techno-economic optimisation
genetic algorithm
cost of energy
CaPex
CWR
arrays
experiments
wave tank
scale test
point absorber
array optimization
energy-maximising control
optimal control
impedance-matching
renewable energy systems
paramertic resonance
wave energy conversion
real-time detection
recursive least squares
Kalman Filter
Neural Network
wave excitation forces
estimation
Optimal Control
Wave Energy Converter
control
reinforcement learning
deep reinforcement learning
deep learning
adaptive control
wave energy converters
spectral control
power take-off
WECs
size optimization
techno-economic performance
PTO sizing
causal control
Model Predictive Control
wave-energy converter
absorbed power
nonlinear model predictive control
two degrees of freedom wave energy converter
nonlinear hydrodynamics
nonlinear power take-off
nonlinear model
Froude-Krylov force
sliding mode control
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
Accés en línia:ONIX_20220224_9783036528250_5
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Sumari:The book, “Optimization and Energy Maximizing Control Systems for Wave Energy Converters”, presents eleven contributions on the latest scientific advancements of 2020-2021 in wave energy technology optimization and control, including holistic techno-economic optimization, inclusion of nonlinear effects, and real-time implementations of estimation and control algorithms.

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