IoT Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks

Mohammadreza Daneshvar (Editor), Behnam Mohammadi-Ivatloo (Editor), Kazem Zare (Editor), Amjad Anvari-Moghaddam (Editor)

Research output: Book/ReportBookResearchpeer-review

Abstract

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.

Original languageEnglish
PublisherAcademic Press
Number of pages280
ISBN (Print)9780323954211
ISBN (Electronic)9780323957809
DOIs
Publication statusPublished - 2023

Keywords

  • IoT
  • Interconnected Energy Networks
  • Multi-Energy Management
  • Energy Trading
  • Artificial Intelligence
  • Big Data Analysis

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