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This book provides an overview of how efficient building energy
management can be done, considering the increasing importance of
renewable energy integration. It also includes the grid-interactive
building, their control, energy management, and optimization
techniques to promote better understanding among researchers and
business professionals in the utility sector and across industries.
This book is written and edited by leading specialists active in
concurrent developments in smart building management, renewable
energy research, and application-driven R&D. The experiences
and research work shared help the readers in enhancing their
knowledge in the field of renewable energy, power engineering,
building energy management, demand, and supply management and learn
the technical analysis of the same in an insightful manner.
Additionally, established and emerging applications related to
applied areas like smart cities, the Internet of things, machine
learning, artificial intelligence, etc., are developed and utilized
to demonstrate recent innovations in smart building energy
management.
This book provides an overview of how efficient building energy
management can be done, considering the increasing importance of
renewable energy integration. It also includes the grid-interactive
building, their control, energy management, and optimization
techniques to promote better understanding among researchers and
business professionals in the utility sector and across industries.
This book is written and edited by leading specialists active in
concurrent developments in smart building management, renewable
energy research, and application-driven R&D. The experiences
and research work shared help the readers in enhancing their
knowledge in the field of renewable energy, power engineering,
building energy management, demand, and supply management and learn
the technical analysis of the same in an insightful manner.
Additionally, established and emerging applications related to
applied areas like smart cities, the Internet of things, machine
learning, artificial intelligence, etc., are developed and utilized
to demonstrate recent innovations in smart building energy
management.
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