國立高雄大學圖資館 |

登入

回首頁

Smart computing and control renewable energy systemsadvanced computational techniques for wireless network optimization /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Smart computing and control renewable energy systemsedited by Mustapha Hatti.
其他題名:	advanced computational techniques for wireless network optimization /
其他作者:	Hatti, Mustapha.
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	xv, 796 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Renewable energy sources.
電子資源:	https://doi.org/10.1007/978-3-031-80301-7
ISBN:	9783031803017$q(electronic bk.)

Smart computing and control renewable energy systemsadvanced computational techniques for wireless network optimization /
Smart computing and control renewable energy systemsadvanced computational techniques for wireless network optimization /[electronic resource] :edited by Mustapha Hatti. - Cham :Springer Nature Switzerland :2025. - xv, 796 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in networks and systems,12382367-3389 ;. - Lecture notes in networks and systems ;v.1..

This essential book bridges the gap between cutting-edge artificial intelligence and the dynamic world of renewable energy systems. Embark on a journey to the forefront of sustainable energy innovation with this groundbreaking collection of research papers and expert insights. Designed for curious minds and industry leaders alike, this comprehensive resource offers: - A deep dive into the latest advancements in smart computing for sustainable energy. - Exploration of AI-driven techniques revolutionizing energy efficiency and management. - Real-world applications showcasing the transformative power of intelligent systems in renewables. - Insights into futuristic energy infrastructures powered by artificial intelligence. - A perfect blend of theoretical foundations and practical implementations. To a seasoned researcher pushing the boundaries of knowledge, a graduate student aspiring to make a mark, or an industry professional staying ahead of the curve, this book is a gateway to the future of energy. Discover how machine learning is reshaping solar forecasting, uncover the potential of autonomous systems in energy storage, and explore the role of AI in crafting smarter, more sustainable cities. From predictive maintenance that ensures uninterrupted power to intelligent control systems optimizing energy generation, this book covers it all. Don't just witness the renewable energy revolution-be part of it. This book equips readers with the knowledge and inspiration to drive innovation in this critical field. It is more than a collection of papers; it is a roadmap to a sustainable future where smart computing and renewable energy converge. Prepare to challenge your assumptions, expand your expertise, and contribute to a greener tomorrow. Order your copy today and position yourself at the vanguard of the smart energy movement!

ISBN: 9783031803017$q(electronic bk.)

Standard No.: 10.1007/978-3-031-80301-7doiSubjects--Topical Terms:

190766
Renewable energy sources.

LC Class. No.: TJ807.2

Dewey Class. No.: 621.042

Smart computing and control renewable energy systemsadvanced computational techniques for wireless network optimization /
LDR:02985nmm a2200325 a 4500 001 680280
003 DE-He213
005 20250304115227.0
006 m d
007 cr nn 008maaau
008 251110s2025 sz s 0 eng d
020 $a 9783031803017$q(electronic bk.)
020 $a 9783031803000$q(paper)
024 7 $a 10.1007/978-3-031-80301-7 $2 doi
035 $a 978-3-031-80301-7
040 $a GP $c GP
041 0 $a eng
050 4 $a TJ807.2
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 621.042 $2 23
090 $a TJ807.2 $b .S636 2025
245 0 0 $a Smart computing and control renewable energy systems $h [electronic resource] : $b advanced computational techniques for wireless network optimization / $c edited by Mustapha Hatti.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xv, 796 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Lecture notes in networks and systems, $x 2367-3389 ; $v 1238
520 $a This essential book bridges the gap between cutting-edge artificial intelligence and the dynamic world of renewable energy systems. Embark on a journey to the forefront of sustainable energy innovation with this groundbreaking collection of research papers and expert insights. Designed for curious minds and industry leaders alike, this comprehensive resource offers: - A deep dive into the latest advancements in smart computing for sustainable energy. - Exploration of AI-driven techniques revolutionizing energy efficiency and management. - Real-world applications showcasing the transformative power of intelligent systems in renewables. - Insights into futuristic energy infrastructures powered by artificial intelligence. - A perfect blend of theoretical foundations and practical implementations. To a seasoned researcher pushing the boundaries of knowledge, a graduate student aspiring to make a mark, or an industry professional staying ahead of the curve, this book is a gateway to the future of energy. Discover how machine learning is reshaping solar forecasting, uncover the potential of autonomous systems in energy storage, and explore the role of AI in crafting smarter, more sustainable cities. From predictive maintenance that ensures uninterrupted power to intelligent control systems optimizing energy generation, this book covers it all. Don't just witness the renewable energy revolution-be part of it. This book equips readers with the knowledge and inspiration to drive innovation in this critical field. It is more than a collection of papers; it is a roadmap to a sustainable future where smart computing and renewable energy converge. Prepare to challenge your assumptions, expand your expertise, and contribute to a greener tomorrow. Order your copy today and position yourself at the vanguard of the smart energy movement!
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
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/10.1007/978-3-031-80301-7
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)