AI-Driven Energy Centered Maintenance

AI-Driven Energy Centered Maintenance equips professionals with cutting-edge strategies to optimize energy usage and reduce waste. This third edition delves into energy cost analysis, waste identification, and efficiency projects. Combining AI-driven insights and practical maintenance techniques, this book is a must-have for energy managers and engineers seeking to enhance facility performance.

What You'll Learn

• How to conduct energy waste brainstorming sessions and implement efficiency projects
• Techniques for classifying energy and understanding the energy classification code
• Strategies for developing an electricity baseline to reduce consumption
• Insights into maintenance inspection frequency and calibration programs
• Methods for conducting root-cause analysis and implementing corrective actions

Who This Book Is For

This book is ideal for energy managers, engineers, and professionals in the energy industry who aim to implement AI-driven strategies for maintenance. It caters to those with intermediate to advanced knowledge of energy management systems.

What You Need to Know First

Readers should have a foundational understanding of energy management systems and basic concepts of artificial intelligence. Familiarity with maintenance protocols will enhance comprehension.

Why This Book

Unlike other resources, this book integrates AI approaches with traditional energy maintenance, offering a unique perspective on reducing energy waste. Its structured approach facilitates practical implementation in real-world settings.

What's Inside

Authored by Fadi Alshakhshir and published by River Publishers in 2026, this 309-page volume offers a comprehensive guide to AI-driven energy maintenance. It includes detailed case studies and practical examples, making it an essential resource for industry professionals.