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Local energy markets = paving the pa...

Song, Meng.

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Local energy markets = paving the path toward the low-carbon digital power distribution system /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Local energy markets/ by Meng Song ... [et al.].
Reminder of title:	paving the path toward the low-carbon digital power distribution system /
other author:	Song, Meng.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xvii, 359 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Energy industries - Environmental aspects. -
Online resource:	https://doi.org/10.1007/978-981-97-9750-9
ISBN:	9789819797509

Local energy markets = paving 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

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

544545
Energy industries
--Environmental aspects.

LC Class. No.: HD9502.A2

Dewey Class. No.: 333.79

Local energy markets = paving the path toward the low-carbon digital power distribution system /
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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 544545
650 1 4 $a Electrical Power Engineering. $3 3592498
650 2 4 $a Energy Grids and Networks. $3 3592502
650 2 4 $a Natural Resource and Energy Economics. $3 3135504
700 1 $a Song, Meng. $3 3589906
710 2 $a SpringerLink (Online service) $3 836513
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