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. It discusses a panorama of modelling, planning and optimization considerations for IoT technologies and 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, and supporting IoT-based developed expert systems, working to identify how AI can empower IoT technologies to sustainably develop fully renewable modern multi-carrier energy networks. It also provides proven methodologies, establishes worked solutions, and develops a holistic framework for proposing IoT-based solutions for intelligently modernizing future multi-vector energy grids. Motivations and obstacles of deployment of advanced IoT technologies are discussed in detail.
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; cyber-physical multi-energy systems; blockchain technology; reliable and sustainable development of the modern energy networks; design, integration, and operation of a high/full level of renewable energy resources; optimal energy management systems; optimization of hybrid energy systems’ utilization; grid-edge technologies’ and hybrid energy components.
