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• W4319789604 abstract "Abstract Although photovoltaic (PV) panels are extensively used to convert solar energy into electric energy, the continuous change in the sun's angle with reference to the earth's surface limits their capacity to collect sufficient energy. To improve efficiency, solar trackers are used to constantly adjust the PV panels towards the sun to maximize energy capture. There has been an increase in the use of deep learning (DL) in solar tracking systems as it has proven to be one of the most efficient techniques owing to its success in related fields. Although there are several studies on different designs of solar tracking systems, a synthesis of the state-of-art knowledge is lacking in the literature. Therefore, this study carried out a review of the DL methods used in solar tracking systems. Specifically, dataset usage, preprocessing methods, feature engineering methods, DL algorithms and the performance metrics used in the identified studies. The review considered the studies published from 2012 to 2022. In the initial search, 5,724 articles were selected from 7 digital libraries. Only 37 academic papers were included in the review based on the inclusion criteria. The results revealed that deep hybrid learning models were the most popular among researchers. Further, the study identified research challenges and future directions relating to the availability of DL-based PV solar tracking with respect to datasets, image data, data normalization, data decomposition, and feature engineering methods. This work will be resourceful to current and future researchers in addressing the trends and challenges related to the application of DL in PV solar trackers." @default.
• W4319789604 created "2023-02-11" @default.
• W4319789604 creator A5025980566 @default.
• W4319789604 creator A5069225628 @default.
• W4319789604 creator A5075480641 @default.
• W4319789604 creator A5082808405 @default.
• W4319789604 date "2023-02-07" @default.
• W4319789604 modified "2023-09-27" @default.
• W4319789604 title "Deep Learning Techniques for Photovoltaic Solar Tracking Systems: A Systematic Literature Review" @default.
• W4319789604 cites W1493357981 @default.
• W4319789604 cites W1627978401 @default.
• W4319789604 cites W1901616594 @default.
• W4319789604 cites W1961147827 @default.
• W4319789604 cites W1995806857 @default.
• W4319789604 cites W2002016471 @default.
• W4319789604 cites W2008960972 @default.
• W4319789604 cites W2017337590 @default.
• W4319789604 cites W2030925139 @default.
• W4319789604 cites W2034027084 @default.
• W4319789604 cites W2057312848 @default.
• W4319789604 cites W2091085232 @default.
• W4319789604 cites W2100495367 @default.
• W4319789604 cites W2106956101 @default.
• W4319789604 cites W2119436188 @default.
• W4319789604 cites W2133462743 @default.
• W4319789604 cites W2142837264 @default.
• W4319789604 cites W2191691072 @default.
• W4319789604 cites W2292465733 @default.
• W4319789604 cites W2488811654 @default.
• W4319789604 cites W2529526315 @default.
• W4319789604 cites W2545402777 @default.
• W4319789604 cites W2550748499 @default.
• W4319789604 cites W2560675361 @default.
• W4319789604 cites W2582654728 @default.
• W4319789604 cites W2593240743 @default.
• W4319789604 cites W2603152443 @default.
• W4319789604 cites W2618530766 @default.
• W4319789604 cites W2740006679 @default.
• W4319789604 cites W2751355553 @default.
• W4319789604 cites W2752072929 @default.
• W4319789604 cites W2766944722 @default.
• W4319789604 cites W2796438033 @default.
• W4319789604 cites W2797716014 @default.
• W4319789604 cites W2799581641 @default.
• W4319789604 cites W2807567209 @default.
• W4319789604 cites W2888785828 @default.
• W4319789604 cites W2891859208 @default.
• W4319789604 cites W2897250207 @default.
• W4319789604 cites W2907541716 @default.
• W4319789604 cites W2909613895 @default.
• W4319789604 cites W2919115771 @default.
• W4319789604 cites W2919356958 @default.
• W4319789604 cites W2920988109 @default.
• W4319789604 cites W2932881901 @default.
• W4319789604 cites W2933878133 @default.
• W4319789604 cites W2944487131 @default.
• W4319789604 cites W2945020349 @default.
• W4319789604 cites W2950072808 @default.
• W4319789604 cites W2960948757 @default.
• W4319789604 cites W2964515763 @default.
• W4319789604 cites W2968989889 @default.
• W4319789604 cites W2969074705 @default.
• W4319789604 cites W2990426214 @default.
• W4319789604 cites W2990612494 @default.
• W4319789604 cites W2995201943 @default.
• W4319789604 cites W2995994523 @default.
• W4319789604 cites W2996367417 @default.
• W4319789604 cites W2997135317 @default.
• W4319789604 cites W2997684871 @default.
• W4319789604 cites W2998188743 @default.
• W4319789604 cites W3015024348 @default.
• W4319789604 cites W3016415013 @default.
• W4319789604 cites W3016726239 @default.
• W4319789604 cites W3019251610 @default.
• W4319789604 cites W3024333932 @default.
• W4319789604 cites W3034099097 @default.
• W4319789604 cites W3044019043 @default.
• W4319789604 cites W3046194311 @default.
• W4319789604 cites W3046298529 @default.
• W4319789604 cites W3079713928 @default.
• W4319789604 cites W3081707209 @default.
• W4319789604 cites W3097203985 @default.
• W4319789604 cites W3106250896 @default.
• W4319789604 cites W3118932394 @default.
• W4319789604 cites W3131917094 @default.
• W4319789604 cites W3135523675 @default.
• W4319789604 cites W3142328061 @default.
• W4319789604 cites W3144543375 @default.
• W4319789604 cites W3167881307 @default.
• W4319789604 cites W3179560844 @default.
• W4319789604 cites W3193801289 @default.
• W4319789604 cites W3210967842 @default.
• W4319789604 cites W3213509763 @default.
• W4319789604 cites W321441410 @default.
• W4319789604 cites W3217247703 @default.
• W4319789604 cites W4200550314 @default.
• W4319789604 cites W4205947740 @default.
• W4319789604 cites W4240482100 @default.
• W4319789604 cites W4246775012 @default.
• W4319789604 cites W4285386496 @default.

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