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Abstract Grid-connected renewable energy systems with high penetration rates exacerbate frequency fluctuations in microgrids, making traditional control methods ill-suited for random source-load variations. This paper pr...

Abstract The deep reinforcement learning techniques offers a novel approach to real-time control for hybrid power flow controllers. This paper introduces a bus voltage optimization adjustment strategy, utilizing a Markov...

Abstract Building energy consumption is dominated by lighting and heating, ventilation, and air conditioning (HVAC) systems, whose operation is often inefficient due to inadequate control strategies and unreliable occupa...

Abstract Tomato (Solanum lycopersicum L.) production is increasingly challenged by water limitations and declining soil quality, necessitating efficient alternatives to conventional cultivation. This review examines the ...

Abstract Curcumin, a natural polyphenol with multifaceted anticancer properties, faces significant clinical translation challenges due to poor solubility, rapid metabolism, and low bioavailability. Hydrogels, as biocompa...