عنوان

Artificial intelligence in renewable energetic systems :

(Number (ISBN

3319731920

(Number (ISBN

9783319731926

Erroneous ISBN

3319731912

Erroneous ISBN

9783319731919

Title Proper

Artificial intelligence in renewable energetic systems :

General Material Designation

[Book]

Other Title Information

smart sustainable energy systems /

First Statement of Responsibility

Mustapha Hatti, editor.

Place of Publication, Distribution, etc.

Cham, Switzerland :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

2018.

Specific Material Designation and Extent of Item

1 online resource (xii, 531 pages) :

Other Physical Details

illustrations

Series Title

Lecture Notes in Networks and Systems,

Volume Designation

volume 35

ISSN of Series

2367-3370 ;

Text of Note

Includes bibliographical references and index.

Text of Note

NPC Multilevel Inverters Advanced Conversion Technology in APF -- Optimization Study of Hybrid Renewable Energy System in Autonomous Site -- Ensemble of Support Vector Methods to Estimate Global Solar Radiation In Algeria -- Study of percentage effect of Polymer blends system on physical properties using MM/QM approach -- Optimization and characterization of Nanowires Semiconductor based-Solar Cells -- Using Phase Change Materials (PCMs) to reduce energy consumption in buildings -- Optimization of Copper Indium Gallium Diselenide Thin Film Solar Cell (CIGS).

0

Text of Note

This book includes the latest research presented at the International Conference on Artificial Intelligence in Renewable Energetic Systems held in Tipaza, Algeria on October 22-24, 2017. The development of renewable energy at low cost must necessarily involve the intelligent optimization of energy flows and the intelligent balancing of production, consumption and energy storage. Intelligence is distributed at all levels and allows information to be processed to optimize energy flows according to constraints. This thematic is shaping the outlines of future economies of and offers the possibility of transforming society. Taking advantage of the growing power of the microprocessor makes the complexity of renewable energy systems accessible, especially since the algorithms of artificial intelligence make it possible to take relevant decisions or even reveal unsuspected trends in the management and optimization of renewable energy flows. The book enables those working on energy systems and those dealing with models of artificial intelligence to combine their knowledge and their intellectual potential for the benefit of the scientific community and humanity.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9783319731926

International Standard Book Number

9783319731919

Artificial intelligence, Congresses.

Artificial intelligence.

Clean energy industries-- Data processing, Congresses.

Clean energy industries.

Renewable energy sources-- Data processing, Congresses.

Alternative & renewable energy sources & technology.

Artificial intelligence.

Artificial intelligence.

Clean energy industries.

Computational intelligence.

Engineering.

Renewable energy sources.

TECHNOLOGY & ENGINEERING-- Mechanical.

TEC-- 009070

UYQ

Number

Edition

Class number

Class number

Book number

Hatti, Mustapha

International Conference on Artificial Intelligence in Renewable Energetic Systems(2017 :, Tipaza, Algieria)

Date of Transaction

20200823104049.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y