The world is on the brink of an energy revolution. Conventional energy systems are failing to meet the increasing global power demand and the rising significance of sustainability. Power electronics, once seen as a specialised area of circuit design, has transformed into a fundamental solution for tackling these difficulties. Despite advancements in efficiency, miniaturization, and cost reduction, the forthcoming progression necessitates a more revolutionary approach: the use of sophisticated computing technology.
Enter Energy 2.0, an innovative paradigm where artificial intelligence (AI), machine learning (ML), edge computing, and quantum algorithms converge with power electronics. This is not merely an enhancement; it represents a reconfiguration of energy generation, management, and consumption. Energy 2.0 surpasses technical limitations, integrating the physical and digital domains to develop systems that process information, acquire knowledge, and adjust in real time.
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