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

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Yes, you can access IoT Enabled Multi-Energy Systems by Mohammadreza Daneshvar,Behnam Mohammadi-Ivatloo,Kazem Zare,Amjad Anvari-Moghaddam in PDF and/or ePUB format, as well as other popular books in Technik & Maschinenbau & Chemie- & Biochemietechnik. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Academic Press

Year

2023

ISBN

9780323957809

Topic

Technik & Maschinenbau

Subtopic

Chemie- & Biochemietechnik

Cover image
Title page
Table of Contents
Copyright
List of contributors
Preface
1. Overview of Internet of Things-based multi-energy management of cleaner multi-energy mix
2. Overview of multi-energy interconnected systems in different energy grids
3. Overview of Internet of Things-based fault positioning cyber-physical systems in smart cleaner multi-energy systems
4. Architecture and applications of Internet of Things in smart grids
5. Artificial intelligence–enabled Internet of Things technologies in modern energy grids
6. Data science leverage and big data analysis for Internet of Things energy systems
7. Battery cloud with advanced algorithms
8. Applicability of federated learning for securing critical energy infrastructures
9. A lightweight string-matching technique for secure communication within IoT energy systems technology
Index