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    An Improved Method for Extracting Photovoltaic Module I–V Characteristic Curve Using Hybrid Learning Machine System 

    Source: Journal of Solar Energy Engineering:;2021:;volume( 143 ):;issue: 005:;page 051006-1
    Author(s): Khatib, Tamer; Direya, Rezeq; Said, Asmaa
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper provides an improved method for predicting the I–V curve of the photovoltaic module using a hybrid machine learning system. The proposed method is based on a random forest algorithm and a cascade forward neural ...
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    Modeling and Characterization of a Photovoltaic Array Based on Actual Performance Using Cascade Forward Back Propagation Artificial Neural Network 

    Source: Journal of Solar Energy Engineering:;2015:;volume( 137 ):;issue: 004:;page 41010
    Author(s): Ameen, Ammar Mohammed; Pasupuleti, Jagadeesh; Khatib, Tamer; Elmenreich, Wilfried; Kazem, Hussein A.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper proposes a novel prediction model for photovoltaic (PV) system output current. The proposed model is based on cascadeforward back propagation artificial neural network (CFNN) with two inputs and one output. The ...
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    Optimal Placement and Sizing of Photovoltaic Based Distributed Generation Considering Costs of Operation Planning of Monocrystalline and Thin-Film Technologies 

    Source: Journal of Solar Energy Engineering:;2019:;volume( 141 ):;issue: 001:;page 11017
    Author(s): Abdul Kadir, Aida Fazliana; Khatib, Tamer; Lii, Loo Soon; Hassan, Elia Erwani
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Distributed generation (DG) technology has been growing rapidly in industries as this technology can increase the overall efficiency to the power systems. Improper placement and sizing can lead to power losses and interrupt ...
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