Ai-Driven Optimization for Solar Energy Systems: Nature-Inspired Algorithms for Solar Energy

By Mohammad Shariful Islam

This book presents a clear and accessible introduction to modern, nature-inspired optimization methods used to improve the performance of solar energy systems. Drawing on practical testing and real engineering examples, it explains how biologically inspired algorithms can be applied to enhance energy output, improve system reliability, and support smarter use of renewable power. Designed for a global readership, the book avoids unnecessary technical language and focuses on what these methods achieve and why they matter for today's energy challenges. The work will be especially valuable for postgraduate students, early-career researchers, engineers, and practitioners working in solar energy, renewable system design, and automated energy management. It also offers useful insights for policymakers and project developers seeking cost-effective and sustainable solutions. By combining research with real-world relevance, the book highlights how intelligent optimization can strengthen the transition toward cleaner and more efficient energy systems.

• Format: Hardcover
• Language: English
• ISBN: 1036477525
• ISBN13: 9781036477523
• Release Date: June 2026
• Publisher: Cambridge Scholars Publishing
• Length: 228 Pages
• Weight: 1.00 lbs.
• Dimensions: 0.7" x 6.0" x 8.0"