Comprehensive coverage of advanced forecasting techniques: Includes time series analysis, machine learning, and ensemble methods.
Optimization of generation scheduling: Explores various optimization algorithms, such as linear programming, mixed-integer programming, and heuristic methods.
Integration of renewable energy sources: Discusses the challenges and opportunities of incorporating wind and solar power into the grid.
Case studies and real-world examples: Provides practical insights into the application of forecasting and optimization techniques in the power industry.
* Suitable for advanced students and practitioners: Offers a rigorous and up-to-date treatment of the subject matter, making it ideal for both academic and professional audiences.