東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Artificial intelligence in renewable...

Hatti, Mustapha.

FindBook

Google Book

Amazon

博客來

Artificial intelligence in renewable energetic systems = smart sustainable energy systems /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence in renewable energetic systems/ edited by Mustapha Hatti.
其他題名:	smart sustainable energy systems /
其他作者:	Hatti, Mustapha.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	xii, 531 p. :ill., digital ;24 cm.
內容註:	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)
Contained By:	Springer eBooks
標題:	Engineering. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-73192-6
ISBN:	9783319731926

Artificial intelligence in renewable energetic systems = smart sustainable energy systems /
Artificial intelligence in renewable energetic systemssmart sustainable energy systems /[electronic resource] :edited by Mustapha Hatti. - Cham :Springer International Publishing :2018. - xii, 531 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v.352367-3370 ;. - Lecture notes in networks and systems ;v.35..

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)

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.

ISBN: 9783319731926

Standard No.: 10.1007/978-3-319-73192-6doiSubjects--Topical Terms:

586835
Engineering.

LC Class. No.: Q342 / .A785 2018

Dewey Class. No.: 621.042

Artificial intelligence in renewable energetic systems = smart sustainable energy systems /
LDR:02777nmm a2200325 a 4500 001 2136878
003 DE-He213
005 20180927134835.0
006 m d
007 cr nn 008maaau
008 181117s2018 gw s 0 eng d
020 $a 9783319731926 $q (electronic bk.)
020 $a 9783319731919 $q (paper)
024 7 $a 10.1007/978-3-319-73192-6 $2 doi
035 $a 978-3-319-73192-6
040 $a GP $c GP
041 0 $a eng
050 4 $a Q342 $b .A785 2018
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 621.042 $2 23
090 $a Q342 $b .A791 2018
245 0 0 $a Artificial intelligence in renewable energetic systems $h [electronic resource] : $b smart sustainable energy systems / $c edited by Mustapha Hatti.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xii, 531 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in networks and systems, $x 2367-3370 ; $v v.35
505 0 $a 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)
520 $a 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.
650 0 $a Engineering. $3 586835
650 0 $a Artificial intelligence. $3 516317
650 0 $a Computational intelligence. $3 595739
650 0 $a Renewable energy sources. $3 543030
650 0 $a Clean energy industries. $3 1000377
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
650 2 4 $a Renewable and Green Energy. $3 928108
700 1 $a Hatti, Mustapha. $3 3308689
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Lecture notes in networks and systems ; $v v.35. $3 3308690
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-73192-6
950 $a Engineering (Springer-11647)