Comprehensive Guide to Machine Learning in Power Systems: Explores the latest advancements in machine learning techniques for monitoring and controlling electrical power systems.
Practical Applications and Case Studies: Provides real-world examples and case studies to demonstrate the effectiveness of machine learning algorithms in power system operations.
In-Depth Coverage of Key Concepts: Covers fundamental concepts of machine learning, data analysis, and power system modeling, making it accessible to both beginners and experienced professionals.
Focus on Real-Time Monitoring and Control: Emphasizes the use of machine learning for real-time monitoring of power system parameters and control of system components.
* Enhanced System Reliability and Efficiency: Demonstrates how machine learning can improve the reliability, efficiency, and stability of electrical power systems.