Artificial Intelligence and Machine Learning Models for Forecasting, Optimization, and Control in Smart Energy Systems

Key Points

• The central aim is to explore how AI and machine learning can enhance forecasting, optimization, and control in energy systems.
• Review of existing AI and machine learning models
• Analysis of their applications in energy systems
• Evaluation of effectiveness in forecasting and optimization
• AI and machine learning significantly improve the accuracy of energy demand forecasting.
• Optimization models reduce energy consumption and costs.
• Control mechanisms enhance integration of renewable energy sources into energy systems.