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IoT-Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks proposes practical solutions for the management and control of energy interactions throughout the interconnected energy infrastructures of the future multi-energy grid. The book discusses a panorama of modeling, planning and optimization considerations for IoT technologies, their applications across grid modernization, and the coordinated operation of multi-vector energy grids. The work is suitable for energy, power, mechanical, chemical, process and environmental engineers, and highly relevant for researchers and postgraduate students who work on energy systems. Sections address core theoretical underpinnings, significant challenges and opportunities, how to support IoT-based developed expert systems, and how AI can empower IoT technologies to sustainably develop fully renewable modern multi-carrier energy networks. Contributors address artificial intelligence technology and its applications in developing IoT-based technologies, cloud-based intelligent energy management schemes, data science and multi-energy big data analysis, machine learning and deep learning techniques in multi-energy systems, and much more.
Preface 1. Overview of Modern Interconnected Energy Networks (MIENs)- 2. IoT Development Path for Future MIENs 3. IoT Developments for Renewable Penetrated MIENs 4. IoT-Based Multi-Energy Management of Clean MIENs 5. Multi-Energy Economic Dispatch in a Cloud-Edge Computing Environment 6. IoT-Enabled Energy Trading Technologies for cleaner multi-energy mix (CMEM) 7. Artificial Intelligence-Enabled IoT Technologies in Revolution of Future Modern Energy Grids 8. Data Science Leverage for IoT Energy Systems
