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Concepts of Smart Grids and Intelligent Power Networks • Energy Generation, Transmission, Distribution, and Consumption • Challenges in Grid Stability, Load Management, and Energy Access • Importance of Data-Driven Decision-Making in Energy Grids

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Introduction to Energy Demand Forecasting • Short-Term, Medium-Term, and Long-Term Load Prediction • AI-Based Forecasting for Peak Demand and Consumption Patterns • Applications of Forecasting in Grid Planning and Energy Management

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Principles of AI for Energy Optimization • Optimizing Energy Generation, Distribution, and Consumption • AI for Load Balancing and Peak Load Reduction • Improving Operational Efficiency Through Intelligent Energy Systems

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Applications of AI in Energy Grids • Real-Time Monitoring and Grid Performance Analysis • Fault Detection, Outage Prediction, and Grid Reliability • AI-Based Decision Support for Grid Operators and Energy Utilities

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Role of AI in Renewable Energy Forecasting • Solar and Wind Power Prediction Using AI Concepts • Integrating Renewable Energy into Smart Grid Systems • Managing Variability and Uncertainty in Renewable Energy Generation

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AI for Sustainable Energy Planning and Resource Management • Energy Efficiency in Buildings, Cities, and Industrial Systems • Demand Response and Smart Consumption Strategies • Supporting Low-Carbon and Climate-Resilient Energy Systems

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Case Studies in Smart Grid Optimization and Renewable Energy Integration • Challenges in Data Quality, Deployment, Security, and Scalability • Ethical and Responsible Use of AI in Energy Infrastructure • Future Opportunities in AI-Enabled Sustainable Energy Systems