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  1. 1
    An application of teaching–learning-based optimization for solving the optimal power flow problem with stochastic wind and solar power generators

    An application of teaching–learning-based optimization for solving the optimal power flow problem with stochastic wind and solar power generators by Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Muhammad Ikram, Mohd Rashid

    Published 2023
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  2. 2
    Reinforced learning algorithm for efficient energy tracking in peer-to-peer energy trading

    Reinforced learning algorithm for efficient energy tracking in peer-to-peer energy trading by Ahmad Tajuddin, Ahmad Haikal Firdaus, Mohamad Hanif, Noor Hazrin Hany, Danial Norizal, Muhammad Hafidzuddin Hanif

    Published 2025
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  3. 3
    Micro-Crack Detection Of Solar Cells Featuring Adaptive Anisotropic Diffusion Filter And Semi-Supervised Support Vector Learning

    Micro-Crack Detection Of Solar Cells Featuring Adaptive Anisotropic Diffusion Filter And Semi-Supervised Support Vector Learning by Majid, Said Amirul Anwar B Ab Hamid @ Ab

    Published 2014
    “…In this thesis, a machine vision-based application for detecting micro-crack in an electro luminescence (el) image of solar cell is presented. …”
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  4. 4
    Artificial intelligent integrated into sun-tracking system to enhance the accuracy, reliability and long-term performance in solar energy harnessing

    Artificial intelligent integrated into sun-tracking system to enhance the accuracy, reliability and long-term performance in solar energy harnessing by Tan, Jun You

    Published 2022
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  5. 5
    Fuzzy based BSA optimization for maximum power point tracking controller performance evaluation

    Fuzzy based BSA optimization for maximum power point tracking controller performance evaluation by Sayem M.A., Nadzirah A., Al-Shetwi A.Q., Hannan M.A., Ker P.J., Rahman S.A., Muttaqi K.M.

    Published 2023
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  6. 6
    An improved teaching-learning-based optimization for extreme learning machine in floating photovoltaic power forecasting

    An improved teaching-learning-based optimization for extreme learning machine in floating photovoltaic power forecasting by Mohd Redzuan, Ahmad, Nor Farizan, Zakaria, Mohd Shawal, Jadin, Mohd Herwan, Sulaiman

    Published 2025
    “…This study presents an improved teaching-learning-based optimization algorithm with extreme learning machine for floating photovoltaic power forecasting. …”
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  7. 7
    Industrial implementation of machine learning forecasting algorithms for large-scale Solar Heat for Industrial Process (SHIP) Systems

    Industrial implementation of machine learning forecasting algorithms for large-scale Solar Heat for Industrial Process (SHIP) Systems by Manu, Abdurrahman, Haja Mohideen, Ahmad Jazlan, Akhter, Muhammad Naveed, Ahmad Huzri, Muhammad Danial, Mohd Ibrahim, Azhar, Mohd Zaki, Hasan Firdaus, Sreeram, Victor

    Published 2025
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  8. 8
    Assessment and enhancement of Landsat 8 land surface temperature retrieval using Mono Window Algorithm and machine learning approaches

    Assessment and enhancement of Landsat 8 land surface temperature retrieval using Mono Window Algorithm and machine learning approaches by Jamaludin, Noorfarhah Jasmin, Abdullah, Ahmad Fikri, Muhadi, Nur Atirah, Wayayok, Aimrun

    Published 2025
    “…These findings demonstrate the potential of combining MWA with machine learning for reliable LST estimation and highlight its applicability in environmental and urban climate analysis research.…”
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  9. 9
    Development of graphical interface software for solar flare monitoring system

    Development of graphical interface software for solar flare monitoring system by Mohamad Zulfahmi Mohamad Izham, Gan, Kok Beng, Mardina Abdullah, Siti Aminah Bahari, Sabirin Abdullah

    Published 2023
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  10. 10
    2TSS: Two-tier semantic segmentation framework with enhancement for hotspot detection of solar photovoltaic thermal images

    2TSS: Two-tier semantic segmentation framework with enhancement for hotspot detection of solar photovoltaic thermal images by Nurul Huda, Ishak, Iza Sazanita, Isa, Muhammad Khusairi, Osman, Mohd Shawal, Jadin, Kamarulazhar, Daud, Mohd Zulhamdy, Ab Hamid

    Published 2025
    “…Recently, intelligence-based hotspot detection has been widely used in solar photovoltaic (PV) image applications. …”
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  11. 11
    Robust Data Fusion Techniques Integrated Machine Learning Models For Estimating Reference Evapotranspiration

    Robust Data Fusion Techniques Integrated Machine Learning Models For Estimating Reference Evapotranspiration by Chia, Min Yan

    Published 2022
    “…As for the NNE, a novel meta-learner based on the stochastic-enabled extreme learning machine integrated with whale optimisation algorithm (WOA-ELM) was developed and used in such an application for the first time. …”
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  12. 12
    Analysis of photovoltaic panels performance and power output forecasting based on optimized deep learning technique / Muhammad Naveed Akhter

    Analysis of photovoltaic panels performance and power output forecasting based on optimized deep learning technique / Muhammad Naveed Akhter by Muhammad Naveed, Akhter

    Published 2021
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  13. 13
    Performance analyses of various photovoltaic power plant based on local spectral irradiances in Malaysia using genetic algorithm

    Performance analyses of various photovoltaic power plant based on local spectral irradiances in Malaysia using genetic algorithm by Lim, Song Wei

    Published 2023
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  14. 14
    Ramp-rate control smoothing methods to control output power fluctuations from solar photovoltaic (PV) sources�A review

    Ramp-rate control smoothing methods to control output power fluctuations from solar photovoltaic (PV) sources�A review by Sukumar S., Marsadek M., Agileswari K.R., Mokhlis H.

    Published 2023
    Review
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  15. 15
    Beyond the classroom: digital language learning in the Malaysian context

    Beyond the classroom: digital language learning in the Malaysian context by Mohd Nadzrin, Nur Amelia, Md Yunus, Melor, Mohd Said, Nur Ehsan

    Published 2024
    “…While proven effective in temperate regions, its application in tropical climates presents unique challenges, including high humidity, intense solar radiation, and consistently elevated temperatures. …”
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  16. 16
    Effect of particle size on second law of thermodynamics analysis of Al2O3 nanofluid: Application of XGBoost and gradient boosting regression for prognostic analysis

    Effect of particle size on second law of thermodynamics analysis of Al2O3 nanofluid: Application of XGBoost and gradient boosting regression for prognostic analysis by Kumar K P., Alruqi M., Hanafi H.A., Sharma P., Wanatasanappan V.V.

    Published 2025
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  17. 17
    Evaluation of genetic algorithm based solar tracking system for photovoltaic panels

    Evaluation of genetic algorithm based solar tracking system for photovoltaic panels by Mashohor, Syamsiah, Samsudin, Khairulmizam, M. Noor, Amirullah, A. Rahman, Adi Razlan

    Published 2008
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  18. 18
    Power Stabilization Of A Stand-Alone Solar System Using Perturb and Observe MPPT Algorithm

    Power Stabilization Of A Stand-Alone Solar System Using Perturb and Observe MPPT Algorithm by Kamarudin, Muhammad Nizam, Jamri , Mohd Saifuzam

    Published 2010
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  19. 19
    Techno-economic optimization and modelling of grid-connected photovoltaic and battery energy storage system

    Techno-economic optimization and modelling of grid-connected photovoltaic and battery energy storage system by Gopinath Subramani

    Published 2023
    “…In this thesis, the MDRed algorithm will be used for the optimization of the solar PV-BESS. …”
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  20. 20
    Experimental and AI-driven enhancements in gas-phase photocatalytic CO2 conversion over synthesized highly ordered anodic TiO2 nanotubes

    Experimental and AI-driven enhancements in gas-phase photocatalytic CO2 conversion over synthesized highly ordered anodic TiO2 nanotubes by Hossen, Md. Arif, Hasan, Md. Munirul, Ahmed, Yunus, Azrina, Abd Aziz, Nurashikin, Yaacof, Leong, Kah Hon

    Published 2025
    “…Six popular ML algorithms of regression, kernel and neural network-based models were applied to predict the gas-phase CO2 photoconversion rate. …”
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