IoT Enabled Multi-Energy Systems

IoT Enabled Multi-Energy Systems

  • Mohammadreza Daneshvar
  • Behnam Mohammadi-Ivatloo
  • Kazem Zare
  • Amjad Anvari-Moghaddam
Publisher:ElsevierISBN 13: 9780323957809ISBN 10: 0323957803

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Know about the book -

IoT Enabled Multi-Energy Systems is written by Mohammadreza Daneshvar and published by Elsevier. It's available with International Standard Book Number or ISBN identification 0323957803 (ISBN 10) and 9780323957809 (ISBN 13).

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. - Reviews core applications of IoT technologies in grid modernization of multi-energy networks - Develops practical solutions for optimal integration of renewable energy resources in modern multi-vector energy networks - Analyzes the reliable integration, sustainable operation and accurate planning of multi-carrier energy grids in highly penetrated stochastic energy resources