"This book discusses the latest research on nature-inspired computing approaches applied to the design and development of renewable energy systems and provides new solutions to the renewable energy domain such as microgrids, wind power, and artificial neural networks"--.

• Cover
• Title Page
• Copyright Page
• Book Series
• List of Reviewers
• Table of Contents
• Detailed Table of Contents
• Preface
• Chapter 1: Some Words About Nature-Inspired Computing
• Chapter 2: Nature-Inspired Approach Using Seasonal Comparison of Wind Speed With Spectral and Statistical Analysis
• Chapter 3: Nature-Inspired Algorithm Applied to a Renewable Energy-Integrating Hydro-Thermal Power Plant
• Chapter 4: Ant Colony Optimization Algorithm for Electrical Power Systems Applications
• Chapter 5: Application of Optimization to Sizing Renewable Energy Systems and Energy Management in Microgrids
• Chapter 6: Artificial Neural Network
• Chapter 7: DNA Computing
• Chapter 8: Hybrid Optimization Methods Application on Sizing and Solving the Economic Dispatch Problems of Hybrid Renewable Power Systems
• Chapter 9: Multi-Objective Optimal Performance of a Hybrid CPSD-SE/HWT System for Microgrid Power Generation
• Chapter 10: Numerical and Experimental Investigations on a Bio-Inspired Design of Darrieus Vertical Axis Wind Turbine Blades With Leading Edge Tubercles
• Chapter 11: Computational Analysis of Symmetric and Cambered Blade Darrieus Vertical Axis Wind Turbine With Bio-Mimicked Blade Design
• Chapter 12: Study on Reliability Design of the Domestic Compressor Subjected to Repetitive Internal Stresses by Parametric Accelerated Life Testing
• Chapter 13: Energy Resources and Their Consumption
• Compilation of References
• About the Contributors
• Index