This paper introduces an energy management strategy for a hybrid renewable micro-grid system. The efficient operation of a hybrid renewable micro-grid system requires an advanced energy management strategy able to coordinate the complex interactions between different energy sources and loads. This strategy must consider some factors such as weather fluctuations and demand variations. Its significance lies in achieving the overarching objectives of these systems, including optimizing renewable energy utilization, reducing greenhouse gas emissions, promoting energy independence, and ensuring grid resilience. The intermittent nature of renewable sources necessitates a predictive approach that anticipates the energy availability and adjusts the system operation. The aim of this study was to develop an energy management system for a hybrid renewable micro-grid system to optimize the deployment of renewable energy resources and increase their integration in the power system. T

Complex 2.5D/3D SOC design architectures with high-performance computing beyond sub-10 nm advanced node technology may be investigated and implemented. Thanks to node scalability, heterogeneous integration, and advanced design, we can think beyond the bounds of Moore's Law. limit the reach of the legislation and account for excessive power loss In the context of nanotechnology and low-power VLSI circuit designs, the science of quantum computation has seen extensive study of reversible logic functions. Digital circuits that are capable of reversible computation have significantly lower power consumption. In this work, we propose a ground-breaking new layout. Making use of logic gates that may be used in reverse, an ANN is developed. A After searching the relevant literature extensively, just a few pieces with similar content were located. To the best of our abilities, our proposed method is correct.