Abstract
As global energy demands continue to escalate, the imperative for more efficient energy distribution and consumption systems becomes increasingly critical. The advent of smart grid technology offers a promising solution by integrating advanced communication, control systems, and information technologies into traditional power grids. This paper explores recent advances in smart grid optimization, focusing on techniques and technologies that enhance energy efficiency. We delve into the role of artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) in optimizing energy distribution and consumption. Furthermore, we discuss the challenges and future prospects of smart grid optimization.
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