TY - BOOK
T1 - IoT Enabled Multi-Energy Systems
T2 - From Isolated Energy Grids to Modern Interconnected Networks
A2 - Daneshvar, Mohammadreza
A2 - Mohammadi-Ivatloo, Behnam
A2 - Zare, Kazem
A2 - Anvari-Moghaddam, Amjad
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - IoT
KW - Interconnected Energy Networks
KW - Multi-Energy Management
KW - Energy Trading
KW - Artificial Intelligence
KW - Big Data Analysis
UR - http://www.scopus.com/inward/record.url?scp=85152809451&partnerID=8YFLogxK
U2 - 10.1016/C2021-0-03353-8
DO - 10.1016/C2021-0-03353-8
M3 - Book
SN - 9780323954211
BT - IoT Enabled Multi-Energy Systems
PB - Academic Press
ER -