Explainable Artificial Intelligence And Solar Energy Integration

Download or read book Explainable Artificial Intelligence and Solar Energy Integration written by Pandey, Jay Kumar and published by IGI Global. This book was released on 2024-10-16 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: As sustainable energy becomes the future, integrating solar power into existing systems presents critical challenges. Intelligent solutions are required to optimize energy production while maintaining transparency, reliability, and trust in decision-making processes. The growing complexity of these systems calls for advanced technologies that can ensure efficiency while addressing the unique demands of renewable energy sources. Explainable Artificial Intelligence and Solar Energy Integration explores how Explainable AI (XAI) enhances transparency in AI-driven solutions for solar energy integration. By showcasing XAI's role in improving energy efficiency and sustainability, the book bridges the gap between AI potential and real-world solar energy applications. It serves as a comprehensive resource for researchers, engineers, policymakers, and students, offering both technical insights and practical case studies.