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This book presents the latest research on applications of
artificial intelligence and the Internet of Things in renewable
energy systems. Advanced renewable energy systems must necessarily
involve the latest technology like artificial intelligence and
Internet of Things to develop low cost, smart and efficient
solutions. Intelligence allows the system to optimize the power,
thereby making it a power efficient system; whereas, Internet of
Things makes the system independent of wire and flexibility in
operation. As a result, intelligent and IOT paradigms are finding
increasing applications in the study of renewable energy systems.
This book presents advanced applications of artificial intelligence
and the internet of things in renewable energy systems development.
It covers such topics as solar energy systems, electric vehicles
etc. In all these areas applications of artificial intelligence
methods such as artificial neural networks, genetic algorithms,
fuzzy logic and a combination of the above, called hybrid systems,
are included. The book is intended for a wide audience ranging from
the undergraduate level up to the research academic and industrial
communities engaged in the study and performance prediction of
renewable energy systems.
This book presents the latest research on applications of
artificial intelligence and the Internet of Things in renewable
energy systems. Advanced renewable energy systems must necessarily
involve the latest technology like artificial intelligence and
Internet of Things to develop low cost, smart and efficient
solutions. Intelligence allows the system to optimize the power,
thereby making it a power efficient system; whereas, Internet of
Things makes the system independent of wire and flexibility in
operation. As a result, intelligent and IOT paradigms are finding
increasing applications in the study of renewable energy systems.
This book presents advanced applications of artificial intelligence
and the internet of things in renewable energy systems development.
It covers such topics as solar energy systems, electric vehicles
etc. In all these areas applications of artificial intelligence
methods such as artificial neural networks, genetic algorithms,
fuzzy logic and a combination of the above, called hybrid systems,
are included. The book is intended for a wide audience ranging from
the undergraduate level up to the research academic and industrial
communities engaged in the study and performance prediction of
renewable energy systems.
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