عنوان

Artificial intelligence in renewable energetic systems :

شابک

3319731920

شابک

9783319731926

شابک اشتباه

3319731912

شابک اشتباه

9783319731919

عنوان اصلي

Artificial intelligence in renewable energetic systems :

نام عام مواد

[Book]

ساير اطلاعات عنواني

smart sustainable energy systems /

نام نخستين پديدآور

Mustapha Hatti, editor.

محل نشرو پخش و غیره

Cham, Switzerland :

نام ناشر، پخش کننده و غيره

Springer,

تاریخ نشرو بخش و غیره

2018.

نام خاص و کميت اثر

1 online resource (xii, 531 pages) :

ساير جزييات

illustrations

عنوان فروست

Lecture Notes in Networks and Systems,

مشخصه جلد

volume 35

شاپا ي ISSN فروست

2367-3370 ;

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

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).

بدون عنوان

0

متن يادداشت

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.

منبع سفارش / آدرس اشتراک

Springer Nature

شماره انبار

com.springer.onix.9783319731926

شماره استاندارد بين المللي کتاب و موسيقي

9783319731919

موضوع مستند نشده

Artificial intelligence, Congresses.

موضوع مستند نشده

Artificial intelligence.

موضوع مستند نشده

Clean energy industries-- Data processing, Congresses.

موضوع مستند نشده

Clean energy industries.

موضوع مستند نشده

Renewable energy sources-- Data processing, Congresses.

موضوع مستند نشده

Alternative & renewable energy sources & technology.

موضوع مستند نشده

Artificial intelligence.

موضوع مستند نشده

Artificial intelligence.

موضوع مستند نشده

Clean energy industries.

موضوع مستند نشده

Computational intelligence.

موضوع مستند نشده

Engineering.

موضوع مستند نشده

Renewable energy sources.

موضوع مستند نشده

TECHNOLOGY & ENGINEERING-- Mechanical.

موضوع مستند نشده

TEC-- 009070

موضوع مستند نشده

UYQ

شماره

ويراست

شماره رده

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Hatti, Mustapha

مستند نام تنالگان تاييد نشده

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

تاريخ عمليات

20200823104049.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y