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Artificial Intelligence Based MPPT Techniques for Solar Power System: A review

Journal of Modern Power Systems and Clean Energy 2020年第6期8卷 1043-1059页

作者： Kah Yung Yap Charles R.Sarimuthu joanne mun-yee lim the Department of Electrical and Computer Systems Engineering(ECSE) School of EngineeringMonash UniversitySubang JayaMalaysia

In the last decade,artificial intelligence(AI)techniques have been extensively used for maximum power point tracking(MPPT)in the solar power *** is because conventional MPPT techniques are incapable of tracking the global maximum power point(GMPP)under partial shading condition(PSC).The output curve of the power versus voltage for a solar panel has only one GMPP and multiple local maximum power points(MPPs).The integration of AI in MPPT is crucial to guarantee the tracking of GMPP while increasing the overall efficiency and performance of *** selection of AI-based MPPT techniques is complicated because each technique has its own merits and *** general,all of the AI-based MPPT techniques exhibit fast convergence speed,less steady-state oscillation and high efficiency,compared with the conventional MPPT ***,the AI-based MPPT techniques are computationally intensive and costly to ***,the hybrid MPPT is favorable in terms of the balance between performance and complexity,and it combines the advantages of conventional and AI-based MPPT *** this paper,a detailed comparison of classification and performance between 6 major AI-based MPPT techniques have been made based on the review and MATLAB/Simulink simulation *** merits,open issues and technical implementations of AI-based MPPT techniques are *** intend to provide new insights into the choice of optimal AI-based MPPT techniques.

关键词： Maximum power point tracking(MPPT) artificial intelligence(AI) fuzzy logic control(FLC) artificial neural network(ANN) genetic algorithm(GA) swarm intelligence(SI) machine learning(ML)

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Short-term traffic forecasting model: prevailing trendsand guidelines

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Transportation Safety and Environment 2023年第3期5卷 1-19页

作者： Kian Lun Soon Robin Kuok Cheong Chan joanne mun-yee lim Rajendran Parthiban School of Engineering Monash UniversityMalaysiaBandar Sunday 47500Malaysia

The design parameters serve as an integral part of developing a robust short-term traffc forecasting model These parameters include scope determination,input data preparation,output parameters and modelling *** paper takes a further leap to analyse the recent trend of design parameters through a systematic literature review based on peer-reviewed articles up to *** key important findings are summarized along with the challenges of performning short-term traffic ***,this paper offers insights into the next wave of research that contributes significantly to industries.

关键词： design parameters transport and society short term forecasting systematic literature review

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