Control of Smart Buildings explores the latest advances in intelligent building energy management with a focus on renewable energy integration and smart grid interaction. As global energy demands shift toward sustainability, this book provides essential insights into how smart buildings can actively participate in local energy communities and respond dynamically to grid conditions.
Written and edited by leading experts in smart building systems, power engineering, and renewable energy, this book covers innovative control strategies, optimization techniques, and advanced energy management frameworks. It emphasizes practical applications using emerging technologies such as AI, machine learning, and IoT to optimize energy efficiency, reduce operational costs, and contribute to smart city initiatives.
This volume is ideal for researchers, engineers, and professionals in utilities, building automation, energy systems, and smart infrastructure, offering both foundational knowledge and cutting-edge advancements.
Key Features:
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Detailed exploration of grid-interactive smart buildings and local energy communities
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In-depth analysis of energy optimization, control systems, and integration of renewable sources
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Covers AI, machine learning, and IoT applications in smart building energy management
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Practical case studies and research-backed insights from industry and academia
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Bridges theory and application for professionals in power engineering, automation, and infrastructure development
Ideal For:
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Engineers and researchers in energy systems and building automation
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Urban planners and infrastructure developers
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Professionals in utility companies and energy policy
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Graduate students studying smart energy systems or sustainable architecture
Authors;
Anuradha Tomar (Editor), Phuong H. Nguyen (Editor), Sukumar Mishra (Editor)
From the book :
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