PERIODIC PRESSURE PREDICTION OF WORKING FACE BASED ON DYNAMIC ADAPTIVE SAILFISH OPTIMIZATION BP NEURAL NETWORK

Periodic pressure prediction of working face based on dynamic adaptive sailfish optimization BP neural network

In order to solve the problems of insufficient precision, poor generalization, and high computational requirements of existing methods for periodic pressure prediction of working face, a periodic pressure prediction model of working face based on dynamic adaptive sailfish optimization BP neural network (DASFO-BP) is proposed.By analyzing the mechan

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Improvement of power quality parameters using modulated-unified power quality conditioner and switched-inductor boost converter by the optimization techniques for a hybrid AC/DC microgrid

Abstract This study aims to improve the quality of operation parameters of the stand-alone hybrid microgrids (HMGs).The proposed module for the Buckle AC microgrid (ACMG) is a modulated-unified power quality conditioner (M-UPQC).Furthermore, the suggested component for the DC microgrid (DCMG) is a switched-inductor boost converter module (S-IBCM).T

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