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- W4384518384 abstract "The solar panel is the core device of photoelectric conversion and thus becomes the front end of the autonomous power supply system. Therefore, this paper constructs a solar energy autonomous power supply system to solve the problem of low power supply efficiency. The MPPT controller is used in the autonomous power supply system, and the maximum power of the solar panel is tracked through the intelligent control algorithm, so that the operation state of the power supply system is stable. In this paper, the random forest is used to improve the fuzzy control algorithm to improve the efficiency of the solar autonomous power supply system by optimizing the tracking ability of the algorithm through the high-precision prediction ability. In this paper, the simulation experiments of three MPPT control algorithms, including the disturbance observation method, the fuzzy control algorithm and the improved fuzzy control algorithm, verify that the improved fuzzy control algorithm of random forest has higher efficiency and speed in MPPT control than the other two algorithms, which can maintain the stability of the autonomous power supply system." @default.
- W4384518384 created "2023-07-18" @default.
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- W4384518384 date "2023-05-26" @default.
- W4384518384 modified "2023-10-06" @default.
- W4384518384 title "Establishment and Simulation of Intelligent Control Algorithm Model of Autonomous Power Supply System Based on Random Forest" @default.
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- W4384518384 doi "https://doi.org/10.1109/icetci57876.2023.10176419" @default.
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