Smart Grid Optimization Using IoT and AI: A Technological Revolution in Power Distribution
Keywords:
Smart Grid, Internet of Things (IoT), Artificial Intelligence (AI), Load ForecastingAbstract
The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) within smart grids is redefining the dynamics of modern power systems. This paper explores the optimization potential of AI driven analytics and IoT-enabled real-time data collection to improve the efficiency, reliability, and sustainability of electrical grids. Through data fusion, predictive maintenance, load forecasting, and automated decision-making, smart grids can adapt to fluctuating demand and distributed energy resources. Using case studies and statistical models, this article highlights the role of machine learning algorithms, such as deep neural networks and reinforcement learning, in minimizing transmission losses and enabling decentralized control. The findings suggest that Pakistan can leverage these advancements to address its power sector challenges and transition toward a resilient digital energy infrastructure.
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