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Optimization of Non-Predictive Latching Control for Duck Wave Energy Converter Based on Deep Reinforcement Learning
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inferredcites →https://doi.org/10.1007/978-981-15-4739-3_91openalex-extracted
A Technological Assessment of the Ocean Wave Energy Converters
inferredcites →https://doi.org/10.1007/s40722-016-0052-8openalex-extracted
Implementation of latching control in a numerical wave tank with regular waves
inferredcites →https://doi.org/10.1007/s42241-021-0026-8openalex-extracted
Numerical examination of wave power absorption by the Edinburgh Duck wave energy converter device
inferredcites →https://doi.org/10.1016/0021-9991(86)90099-9openalex-extracted
Solution of the implicitly discretised fluid flow equations by operator-splitting
inferredcites →https://doi.org/10.1016/0141-1187(79)90004-xopenalex-extracted
Characteristics of Salter's cam for extracting energy from ocean waves
inferredcites →https://doi.org/10.1016/0893-6080(89)90020-8openalex-extracted
Multilayer feedforward networks are universal approximators
inferredcites →https://doi.org/10.1016/j.apenergy.2018.04.033openalex-extracted
Real-time latching control strategies for the solo Duck wave energy converter in irregular waves
inferredcites →https://doi.org/10.1016/j.apor.2005.05.003openalex-extracted
Comparison of latching control strategies for a heaving wave energy device in random sea
inferredcites →https://doi.org/10.1016/j.apor.2006.05.002openalex-extracted
Optimal latching control of a wave energy device in regular and irregular waves
inferredcites →https://doi.org/10.1016/j.cageo.2004.10.005openalex-extracted
Artificial neural networks in wave predictions at the west coast of Portugal
inferredcites →https://doi.org/10.1016/j.coastaleng.2009.10.013openalex-extracted
Numerical modelling of short- and long-wave transformation on a barred beach
inferredcites →https://doi.org/10.1016/j.energy.2016.04.098openalex-extracted
Peak-power control of a grid-integrated oscillating water column wave energy converter
inferredcites →https://doi.org/10.1016/j.energy.2017.07.152openalex-extracted
Performance analysis of solo Duck wave energy converter arrays under motion constraints
inferredcites →https://doi.org/10.1016/j.oceaneng.2003.05.003openalex-extracted
Improving wave predictions with artificial neural networks
inferredcites →https://doi.org/10.1016/j.oceaneng.2009.01.015openalex-extracted
Experimental and numerical investigation of non-predictive phase-control strategies for a point-absorbing wave energy converter
inferredcites →https://doi.org/10.1016/j.oceaneng.2009.05.006openalex-extracted
Declutching control of a wave energy converter
inferredcites →https://doi.org/10.1016/j.oceaneng.2019.106722openalex-extracted
Deterministic wave prediction for unidirectional sea-states in real-time using Artificial Neural Network
inferredcites →https://doi.org/10.1016/j.oceaneng.2021.110363openalex-extracted
Optimization of the electricity generation of a wave energy converter using deep reinforcement learning
inferredcites →https://doi.org/10.1016/j.oceaneng.2022.113192openalex-extracted
A review of energy extraction from wind and ocean: Technologies, merits, efficiencies, and cost
inferredcites →https://doi.org/10.1016/j.oceaneng.2023.114320openalex-extracted
Real-time model for wave attenuation using active plate breakwater based on deep reinforcement learning
inferredcites →https://doi.org/10.1016/j.renene.2015.11.039openalex-extracted
Satellite-based wave data and wave energy resource assessment for South China Sea
inferredcites →https://doi.org/10.1016/j.renene.2015.12.065openalex-extracted
Latching control of a floating oscillating-water-column wave energy converter
inferredcites →https://doi.org/10.1016/j.rser.2009.11.003openalex-extracted
Wave energy utilization: A review of the technologies
inferredcites →https://doi.org/10.1016/j.rser.2014.10.010openalex-extracted
Electrical damping of linear generators for wave energy converters—A review
inferredcites →https://doi.org/10.1016/j.rser.2017.06.074openalex-extracted
Review of control strategies for wave energy conversion systems and their validation: the wave-to-wire approach
inferredcites →https://doi.org/10.1016/s0951-8339(01)00014-4openalex-extracted
On-line wave prediction
inferredcites →https://doi.org/10.1017/aer.2021.112openalex-extracted
Autonomous and cooperative control of UAV cluster with multi-agent reinforcement learning
inferredcites →https://doi.org/10.1038/256478a0openalex-extracted
A resonant point absorber of ocean-wave power
inferredcites →https://doi.org/10.1038/nature14236openalex-extracted
Human-level control through deep reinforcement learning
inferredcites →https://doi.org/10.1038/nature16961openalex-extracted
Mastering the game of Go with deep neural networks and tree search
inferredcites →https://doi.org/10.1061/(asce)0733-950x(2000)126:2(88)openalex-extracted
Review of Multidirectional Active Wave Absorption Methods
inferredcites →https://doi.org/10.1093/nsr/nwx110openalex-extracted
Deep learning for natural language processing: advantages and challenges
inferredcites →https://doi.org/10.1098/rspa.2010.0331openalex-extracted
Reynolds averaged Navier–Stokes modelling of long waves induced by a transient wave group on a beach
inferredcites →https://doi.org/10.1098/rsta.2011.0132openalex-extracted
Discrete control of resonant wave energy devices
inferredcites →https://doi.org/10.1109/jsac.2018.2864373openalex-extracted
Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach
inferredcites →https://doi.org/10.1109/jsac.2019.2906789openalex-extracted
Space/Aerial-Assisted Computing Offloading for IoT Applications: A Learning-Based Approach
inferredcites →https://doi.org/10.1109/tnnls.2018.2790388openalex-extracted
Applications of Deep Learning and Reinforcement Learning to Biological Data
inferredcites →https://doi.org/10.1109/tvt.2019.2897134openalex-extracted
Deep Reinforcement Learning Based Resource Allocation for V2V Communications
inferredcites →https://doi.org/10.1243/pime_proc_1992_206_338_02openalex-extracted
Maximizing the Efficiency of Wave-Energy Plant Using Complex-Conjugate Control
inferredcites →https://doi.org/10.1609/aaai.v30i1.10295openalex-extracted
Deep Reinforcement Learning with Double Q-Learning
inferredcites →https://doi.org/10.1609/aaai.v36i11.21473openalex-extracted
Multi-Agent Reinforcement Learning Controller to Maximize Energy Efficiency for Multi-Generator Industrial Wave Energy Converter
inferredcites →https://doi.org/10.23919/oceans44145.2021.9705874openalex-extracted
Experimental study of a long wave interacting with nearshore OWC device on an uneven bottom
inferredcites →https://doi.org/10.3390/en10030289openalex-extracted
Optimizing the Performance of Solo Duck Wave Energy Converter in Tide
inferredcites →https://doi.org/10.3390/en12101941openalex-extracted
Numerical and Experimental Study of the Solo Duck Wave Energy Converter
inferredcites →https://doi.org/10.3390/jmse8110845openalex-extracted
Towards Real-Time Reinforcement Learning Control of a Wave Energy Converter
inferredcites →https://doi.org/10.48550/arxiv.2003.13350openalex-extracted
Agent57: Outperforming the Atari Human Benchmark
inferredcites →https://doi.org/10.48550/arxiv.2005.11172openalex-extracted
Deep Reinforcement Learning with Pre-training for Time-efficient Training of Automatic Speech Recognition
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