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Books > Professional & Technical > Energy technology & engineering > Alternative & renewable energy sources & technology

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Introduction to AI Techniques for Renewable Energy System (Hardcover) Loot Price: R4,806
Discovery Miles 48 060
Repayment Terms: R450 pm x 12*
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Introduction to AI Techniques for Renewable Energy System (Hardcover): Suman Lata Tripathi, Mithilesh Kumar Dubey, Vinay...

Introduction to AI Techniques for Renewable Energy System (Hardcover)

Suman Lata Tripathi, Mithilesh Kumar Dubey, Vinay Rishiwal, Sanjeevikumar Padmanaban

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Loot Price R4,806 Discovery Miles 48 060 | Repayment Terms: R450 pm x 12*

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The impact of the proposed book is to provide a significant area of concern to develop a foundation for the implementation process renewable energy system with intelligent techniques. The researchers working on a renewable energy system can correlate their work with intelligent and machine learning approaches. To make aware of the international standards for intelligent renewable energy systems design, reliability and maintenance. To give better incites of the solar cell, biofuels, wind and other renewable energy system design and characterization, including the equipment for smart energy systems.

General

Imprint: Crc Press
Country of origin: United Kingdom
Release date: November 2021
First published: 2021
Editors: Suman Lata Tripathi • Mithilesh Kumar Dubey • Vinay Rishiwal • Sanjeevikumar Padmanaban
Dimensions: 234 x 156mm (L x W)
Format: Hardcover
Pages: 410
ISBN-13: 978-0-367-61092-0
Categories: Books > Professional & Technical > Energy technology & engineering > Alternative & renewable energy sources & technology
Books > Professional & Technical > Environmental engineering & technology > General
Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 0-367-61092-2
Barcode: 9780367610920

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