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  • Bayesian Reinforcement Learning Based Control For Ocean Wave Energy Conversion

    Creator:
    Ghorban Zadeh, Leila
    Abstract:
    This work – in which three peer-reviewed academic papers are presented – addresses the ap-plication of Bayesian Reinforcement Learning to the control of a class of ocean wave energy conversion systems. The first paper presents a comparison of a Reinforcement-Learning (RL) based wave energy converter controller against standard Reactive Damping...
    Resource Type:
    Dissertation
    Full Text:
    , Ted K. Brekken IEEE Transactions on Sustainable Energy 2022 5 2.1 Introduction Ocean wave

  • Sizing and Performance of the Pendulum Power Take-Off Wave Energy Converter: Modularity and Chaotic Behavior

    Creator:
    Dizon, Chris
    Abstract:
    Multiple wave energy converter (WEC) archetypes exist with varying power take-off (PTO) designs in the attempt to maximize ocean energy harnessed and converted into useful energy. The pendulum PTO is popular for its simple, yet robust functionality due to its internally located components and simple operation. Additionally, this PTO does...
    Resource Type:
    Dissertation
    Full Text:
    . Cavagnaro, Bryson Robertson, Ted K. Brekken IET Renewable Power Generation 2021 4 2.1 Abstract Marine

  • Modeling of Wave Energy Converter via Instantaneous Frequency

    Creator:
    Kim, Inyong
    Abstract:
    A multidisciplinary perspective is necessitated for the analysis of wave energy conversion systems, spanning hydrodynamics, mechanics, electric power, and control systems. The complexity inherent in these scientific domains poses challenges for unified analysis. This paper addresses these challenges by connecting various domains through the application of circuit theory, characterizing the...
    Resource Type:
    Masters Thesis
    Full Text:
    : Modeling of Wave Energy Converter via Instantaneous Frequency Abstract approved: Ted Brekken Yue Cao A

  • Power Electric System Load and Generation Forecasting via ARMA, ARIMA, and K-Medoids Methods for Grid Expansion Purposes: A Comparison

    Creator:
    McLaughlin, Zachery D.
    Abstract:
    The electric power grids of countries across the globe rely on load and generation forecasting to know when, where, and how much resources need to be dispatched to sustain proper grid operation. Because of this, forecasting needs to be highly accurate to avoid unnecessary resource dispatch which can be costly....
    Resource Type:
    Capstone Project
    Full Text:
    : ______________________________________________________ Eduardo Cotilla-Sanchez & Ted Brekken The electric power grids of countries across the