國立高雄大學圖資館 |

登入

回首頁

Local energy marketspaving the path toward the low-carbon digital power distribution system /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Local energy marketsby Meng Song ... [et al.].
其他題名:	paving the path toward the low-carbon digital power distribution system /
其他作者:	Song, Meng.
出版者:	Singapore :Springer Nature Singapore :2025.
面頁冊數:	xvii, 359 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Energy industriesEnvironmental aspects.
電子資源:	https://doi.org/10.1007/978-981-97-9750-9
ISBN:	9789819797509$q(electronic bk.)

Local energy marketspaving the path toward the low-carbon digital power distribution system /
Local energy marketspaving the path toward the low-carbon digital power distribution system /[electronic resource] :by Meng Song ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xvii, 359 p. :ill., digital ;24 cm.

1. State of the art of local energy markets -- 2. Mental accounting theory-based trading strategy of prosumers -- 3. Prospect theory-based trading strategy and analysis of prosumers -- 4. Optimal scheduling strategy of networked data centers in multiple local energy markets -- 5. Incentive-compatible local energy market design with adaptive robust approach.

This book provides insight into the coordinated optimization of local energy market (LEM) with low-carbon digital operation of the distribution system from a demand-side perspective. There are four sections to characterize the ongoing development and future trends of LEM, including trading behaviors of prosumers, market design considering the impacts of uncertainties, LEM constrained by the distribution network, green LEM considering carbon emission and cutting-edge technologies. This book is expected to offer researchers, engineers, and graduate students in the fields of electrical engineering and energy economics with a unique understanding of LEM.

ISBN: 9789819797509$q(electronic bk.)

Standard No.: 10.1007/978-981-97-9750-9doiSubjects--Topical Terms:

348911
Energy industries
--Environmental aspects.

LC Class. No.: HD9502.A2

Dewey Class. No.: 333.79

Local energy marketspaving the path toward the low-carbon digital power distribution system /
LDR:02028nmm a2200325 a 4500 001 679972
003 DE-He213
005 20250201115255.0
006 m d
007 cr nn 008maaau
008 251110s2025 si s 0 eng d
020 $a 9789819797509$q(electronic bk.)
020 $a 9789819797493$q(paper)
024 7 $a 10.1007/978-981-97-9750-9 $2 doi
035 $a 978-981-97-9750-9
040 $a GP $c GP
041 0 $a eng
050 4 $a HD9502.A2
072 7 $a THR $2 bicssc
072 7 $a TEC031020 $2 bisacsh
072 7 $a THR $2 thema
082 0 4 $a 333.79 $2 23
090 $a HD9502.A2 $b L811 2025
245 0 0 $a Local energy markets $h [electronic resource] : $b paving the path toward the low-carbon digital power distribution system / $c by Meng Song ... [et al.].
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xvii, 359 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. State of the art of local energy markets -- 2. Mental accounting theory-based trading strategy of prosumers -- 3. Prospect theory-based trading strategy and analysis of prosumers -- 4. Optimal scheduling strategy of networked data centers in multiple local energy markets -- 5. Incentive-compatible local energy market design with adaptive robust approach.
520 $a This book provides insight into the coordinated optimization of local energy market (LEM) with low-carbon digital operation of the distribution system from a demand-side perspective. There are four sections to characterize the ongoing development and future trends of LEM, including trading behaviors of prosumers, market design considering the impacts of uncertainties, LEM constrained by the distribution network, green LEM considering carbon emission and cutting-edge technologies. This book is expected to offer researchers, engineers, and graduate students in the fields of electrical engineering and energy economics with a unique understanding of LEM.
650 0 $a Energy industries $x Environmental aspects. $3 348911
650 1 4 $a Electrical Power Engineering. $3 919410
650 2 4 $a Energy Grids and Networks. $3 914991
650 2 4 $a Natural Resource and Energy Economics. $3 760007
700 1 $a Song, Meng. $3 917321
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-97-9750-9
950 $a Energy (SpringerNature-40367)