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Smart integration is a process in which an existing system infrastructure is upgraded through the integration of multiple technologies, for example, automated sensors, advanced automated controls and forecasting systems. A smart grid allows for interaction between the consumers and enables optimal use of energy and communication systems based on price preferences and system technical stresses, without forgetting the environmental aspect. The continuous reduction in dimensions and the need for increasingly high power density have highlighted the need for ever more efficient structures. Smart power technology has been developed to meet this demand. This technology makes specific use of (L)DMOS devices, offering new solutions because of its unique high voltage and high current characteristics. The operation of these devices is accompanied by a number of phenomena. Good modeling makes it possible to account for these phenomena and predict the physical behavior of the transistor prior to production. To this, we add an axis that has become unavoidable: the entanglement between devices, circuits, connections and substrates. (Micro)grid designs have evolved significantly in recent years with the incorporation of information and communication technology (ICT) solutions, such as artificial intelligence (AI) and machine learning (ML). A smart microgrid, equipped with sensors and automation controls, can efficiently perform load profiling and forecasting, generation management, load prioritization, etc. A go-to example is the vehicles that are quickly becoming a center of communication, navigation and connectivity. Automotive solutions will integrate with smart city infrastructures, personal devices and in-vehicle services to become part of a connected whole.