Advances of Artificial Intelligence in a Green Energy Environment
reviews the new technologies in intelligent computing and AI that
are reducing the dimension of data coverage worldwide. This
handbook describes intelligent optimization algorithms that can be
applied in various branches of energy engineering where uncertainty
is a major concern. Including AI methodologies and applying
advanced evolutionary algorithms to real-world application problems
for everyday life applications, this book considers distributed
energy systems, hybrid renewable energy systems using AI methods,
and new opportunities in blockchain technology in smart energy.
Covering state-of-the-art developments in a fast-moving technology,
this reference is useful for engineering students and researchers
interested and working in the AI industry.
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