Beschreibung:
This book provides a comprehensive understanding of how intelligent data-driven techniques can be used for modelling, controlling, and optimizing various power and energy applications.
1. Preprocessing Approaches for Data-Driven Modeling. 2. Power System Planning Using Data-Driven Models. 3. Data-Driven Analytics for Power System Stability Assessment. 4. Data-Driven Machine Learning Models for Load Power Forecasting in Photovoltaic systems. 5. Forecasting of Renewable Energy Using Fractional-Order Neural Networks. 6. Data-Driven Photovoltaic System Characteristic Determination using Nonlinear System Identification. 7. Fractional Feedforward Neural Network-Based Smart Grid Stability Prediction Model. 8. Data-driven Optimization Framework for Microgrid Energy Management Considering Demand Response and Generation Uncertainties. 9. Optimization of Controllers for Sustained Building. 10. Intelligent Data-Driven Approach for Fractional-Order Wireless Power Transfer System