A smart grid is the embodiment of the economic benefit derived from a complex, advanced power system that can handle increased demand. With the integration of modern metering infrastructure, advanced control, and communication systems, large volumes of multitype and high‐dimensional data about electric power grid functioning are permitted to be collected. Artificial intelligence (AI) approaches are finding a wide range of applications in smart grid applications due to the fact that conventional control, optimization, and modeling technologies are open to a plethora of limitations regarding data processing. For example, AI methods and approaches may contribute much to the resolution of sustainability concerns by improving the effectiveness and efficiency with which we allocate and manage our natural and social resources. The research investigates some of the advances, challenges, and opportunities in integrating AI into smart grids. Some of the significant challenges identified here include those of cybersecurity and regulatory complexity, with developments in areas such as sustainability, resilience, and optimization.
Taherdoost et al. (Thu,) studied this question.
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