Compartir
Iot Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks (en Inglés)
Behnam Mohammadi-Ivatloo
(Ilustrado por)
·
Mohammadreza Daneshvar
(Ilustrado por)
·
Kazem Zare
(Ilustrado por)
·
Academic Press
· Tapa Blanda
Iot Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks (en Inglés) - Daneshvar, Mohammadreza ; Mohammadi-Ivatloo, Behnam ; Zare, Kazem
150,81 €
158,75 €
Ahorras: 7,94 €
Elige la lista en la que quieres agregar tu producto o crea una nueva lista
✓ Producto agregado correctamente a la lista de deseos.
Ir a Mis ListasSe enviará desde nuestra bodega entre el
Martes 11 de Junio y el
Viernes 14 de Junio.
Lo recibirás en cualquier lugar de España entre 1 y 5 días hábiles luego del envío.
Reseña del libro "Iot Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks (en Inglés)"
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.
