Advances of Artificial Intelligence in a Green Energy Environment
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Form:Einzelkauf Download
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Sprache:Englisch
144,00 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB 3
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
20.05.2022
Herausgeber
Pandian Vasant + weitereVerlag
Elsevier Science & Techn.Seitenzahl
414 (Printausgabe)
Dateigröße
39810 KB
Sprache
Englisch
EAN
9780323885744
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.
- Looks at new techniques in artificial intelligence (AI) reducing the dimension of data coverage worldwide
- Chapters include AI methodologies using enhanced hybrid swarm-based optimization algorithms
- Includes flowchart diagrams for exampling optimizing techniques
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.
- Looks at new techniques in artificial intelligence (AI) reducing the dimension of data coverage worldwide
- Chapters include AI methodologies using enhanced hybrid swarm-based optimization algorithms
- Includes flowchart diagrams for exampling optimizing techniques
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