國立高雄大學圖資館 |

登入

回首頁

Advanced computational techniques for renewable energy systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advanced computational techniques for renewable energy systemsedited by Mustapha Hatti.
其他作者:	Hatti, Mustapha.
出版者:	Cham :Springer International Publishing :2023.
面頁冊數:	xv, 836 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Computational intelligence.
電子資源:	https://doi.org/10.1007/978-3-031-21216-1
ISBN:	9783031212161$q(electronic bk.)

Advanced computational techniques for renewable energy systems
Advanced computational techniques for renewable energy systems[electronic resource] /edited by Mustapha Hatti. - Cham :Springer International Publishing :2023. - xv, 836 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,v. 5912367-3389 ;. - Lecture notes in networks and systems ;v.1..

In this book, one hundred selected articles, in which the technology and science elite share, contribute to technology development, collaborate and evolve the latest cutting-edge technologies, open ecosystem resources, new innovative computing solutions, hands-on labs and tutorials, networking and community building, to ensure better integration of artificial intelligence into renewable energy systems. Innovation in computing continues at a growing pace. The key to success in this area is not only hardware, but also the ability to leverage rapid advances in artificial intelligence (including machine learning and deep learning), data analytics, data streaming, and cloud computing, which go hand in hand with intensive research activity on the underlying computational methods. The chapters in this book are organized into thematic sections on: advanced computing techniques; artificial intelligence; smart and sustainable cities; renewable energy systems; materials in renewable energy; smart energy efficiency; smart cities applications: recent developments and new trends; online, supervision of renewable energy platforms; predictive control in renewable systems; smart embedded systems for photovoltaic applications.

ISBN: 9783031212161$q(electronic bk.)

Standard No.: 10.1007/978-3-031-21216-1doiSubjects--Topical Terms:

210824
Computational intelligence.

LC Class. No.: Q342 / .A38 2023

Dewey Class. No.: 006.3

Advanced computational techniques for renewable energy systems
LDR:02300nmm a2200325 a 4500 001 640263
003 DE-He213
005 20230213235949.0
006 m d
007 cr nn 008maaau
008 231025s2023 sz s 0 eng d
020 $a 9783031212161$q(electronic bk.)
020 $a 9783031212154$q(paper)
024 7 $a 10.1007/978-3-031-21216-1 $2 doi
035 $a 978-3-031-21216-1
040 $a GP $c GP
041 0 $a eng
050 4 $a Q342 $b .A38 2023
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q342 $b .A244 2023
245 0 0 $a Advanced computational techniques for renewable energy systems $h [electronic resource] / $c edited by Mustapha Hatti.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a xv, 836 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in networks and systems, $x 2367-3389 ; $v v. 591
520 $a In this book, one hundred selected articles, in which the technology and science elite share, contribute to technology development, collaborate and evolve the latest cutting-edge technologies, open ecosystem resources, new innovative computing solutions, hands-on labs and tutorials, networking and community building, to ensure better integration of artificial intelligence into renewable energy systems. Innovation in computing continues at a growing pace. The key to success in this area is not only hardware, but also the ability to leverage rapid advances in artificial intelligence (including machine learning and deep learning), data analytics, data streaming, and cloud computing, which go hand in hand with intensive research activity on the underlying computational methods. The chapters in this book are organized into thematic sections on: advanced computing techniques; artificial intelligence; smart and sustainable cities; renewable energy systems; materials in renewable energy; smart energy efficiency; smart cities applications: recent developments and new trends; online, supervision of renewable energy platforms; predictive control in renewable systems; smart embedded systems for photovoltaic applications.
650 0 $a Computational intelligence. $3 210824
650 0 $a Renewable energy sources. $3 190766
650 0 $a Artificial intelligence. $3 194058
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Energy Policy, Economics and Management. $3 511210
650 2 4 $a Renewable Energy. $3 918996
650 2 4 $a Artificial Intelligence. $3 212515
700 1 $a Hatti, Mustapha. $3 809635
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in networks and systems ; $v v.1. $3 744793
856 4 0 $u https://doi.org/10.1007/978-3-031-21216-1
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)