ENERGY INFORMATICS: SMART GRID OPTIMIZATION THROUGH COMPUTATIONAL INTELLIGENCE

Abstract

Energy informatics is a rapidly evolving interdisciplinary domain that integrates computational intelligence with energy systems to enhance the efficiency, sustainability, and resilience of smart grids. This paper explores the role of computational intelligence (CI) in optimizing energy distribution, load forecasting, and real-time decision-making in smart grids. By leveraging machine learning, evolutionary algorithms, and swarm intelligence, modern smart grids are becoming more adaptive and self-regulating. We present current trends, architectures, and use cases in the Pakistani context while also addressing challenges related to data integration, cyber security, and real-time scalability. Furthermore, the paper discusses future directions for intelligent energy systems powered by data-driven insights.