AI and IOT in Renewable Energy
- Indbinding:
- Paperback
- Sideantal:
- 124
- Udgivet:
- 14. maj 2022
- Udgave:
- 22001
- Størrelse:
- 155x8x235 mm.
- Vægt:
- 201 g.
- 8-11 hverdage.
- 16. januar 2025
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- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af AI and IOT in Renewable Energy
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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Bogen AI and IOT in Renewable Energy findes i følgende kategorier:
- Business og læring > Computer og IT
- Teknologi, ingeniørvidenskab og landbrug > Energiteknik > Alternative og fornybare energikilder og teknologier
- Databehandling og informationsteknologi > Datakommunikation og computernetværk
- Databehandling og informationsteknologi > Informatik > Kunstig intelligens
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