IoT, machine learning and blockchain technologies for renewable energy and modern hybrid power systems

This edited book comprises chapters that describe the IoT, machine learning, and blockchain technologies for renewable energy and modern hybrid power systems with simulation examples and case studies. After reading this book, users will understand recent technologies such as IoT, machine learning te...

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Bibliographic Details
Other Authors: Sharmeela, C., (Editor), Sanjeevikumar, Padmanaban, 1978- (Editor), Sivaraman, P. (Editor), Joseph, Meera, (Editor)
Format: eBook
Language: English
Published: [United States] : River Publishers, [2022]
Series: River Publishers series in computing and information science and technology.
Subjects:
ISBN: 9788770227117
877022711X
9788770227247
Physical Description: 1 online resource.

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Summary: This edited book comprises chapters that describe the IoT, machine learning, and blockchain technologies for renewable energy and modern hybrid power systems with simulation examples and case studies. After reading this book, users will understand recent technologies such as IoT, machine learning techniques, and blockchain technologies and the application of these technologies to renewable energy resources and modern hybrid power systems through simulation examples and case studies.
ISBN: 9788770227117
877022711X
9788770227247
Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty