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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.
Emerging Transactive Energy Technology for the Future Modern Energy
Networks looks at the importance of transactive energy technology
in modern multi-carrier energy networks, exploring modeling and
optimization and analyzing the necessity of transactive energy
technology for future modern energy networks. Along with energy
technology, the book covers applications of transactive energy
technology, strategies in optimal operation of the hybrid energy
networks, reliable and sustainable development of the modern energy
networks, and design, integration and operation of a full level of
renewable energy resources. This reference is intended for energy,
power, mechanical and environmental engineers, researchers and
postgraduate students who work in various types of energy systems.
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