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    Short-Term Prediction of the Output Power of a Group of Neighbouring PV Plants

    AlHilfi H 2020.pdf (3.538Mb)
    Access Status
    Open access
    Authors
    Al-Hilfi, Hasanain A. H.
    Date
    2020
    Supervisor
    Ahmed Abu-Siada
    Farhad Shahnia
    Type
    Thesis
    Award
    PhD
    
    Metadata
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    Faculty
    Science and Engineering
    School
    School of Electrical Engineering, Computing and Mathematical Sciences
    URI
    http://hdl.handle.net/20.500.11937/84106
    Collection
    • Curtin Theses
    Abstract

    A major operational challenge that exists Photovoltaic systems is the vaialbility of their output power, which is mainly caused by the movements of clouds. In this thesis, using only one PV sensor and wavelet transform method, several approaches, such as GEP and ANFIS techniques, are proposed to improve the estimation accuracy of the overall generated power by the group of neighbouring small-scale rooftop PV systems.

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