Intelligent and Soft Computing Systems for Green Energy 1st Edition

Intelligent and Soft Computing Systems for Green Energy (1st Edition) by A. Chitra presents a compelling bridge between cutting-edge computational methods and sustainable energy solutions. Clear, focused, and practical, this book captures the attention of engineers, researchers, and students seeking smart approaches to renewable energy challenges.

Inside, A. Chitra guides readers through the principles and applications of soft computing—neural networks, fuzzy logic, evolutionary algorithms—and their synergy with intelligent systems to optimize green energy generation, distribution, and management. The narrative balances theoretical rigor with applied insight, explaining modeling techniques, optimization strategies, and adaptive control methods in language that’s accessible without sacrificing depth.

This volume is crafted to inspire action: professionals can adopt robust algorithms for solar and wind forecasting, grid stability, and energy-efficiency scheduling; researchers will find a structured foundation to extend into novel applications; and students gain a coherent roadmap from fundamentals to real-world problem solving. Emphasis on practical frameworks makes the book especially valuable for practitioners in fast-growing energy markets and sustainability-focused organizations worldwide.

SEO- and GEO-friendly, the book speaks to global and regional needs—ideal for readers in India, Asia-Pacific, Europe, and the Americas who are developing resilient, low-carbon energy systems. Whether you’re designing smart-grid controllers or exploring AI-driven energy policies, A. Chitra’s 1st Edition is a timely resource.

Order your copy today to equip your projects and studies with intelligent, scalable tools for a cleaner energy future.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.