Meng Song Ciwei Gao Mingyu Yan Yunting Yao Tao Chen Song Local Energy Markets

Local Energy Markets

von Meng Song Ciwei Gao Mingyu Yan Yunting Yao Tao Chen

Paving the Path Toward the Low-Carbon Digital Power Distribution System

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Beschreibung

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.


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.


Proposes trading strategies considering prosumers’ limited-rationality in multiple local energy markets Proposes a low-carbon energy management strategy of distribution systems based on local energy market Introduces blockchain and reinforcement learning technologies into local energy trading

Autor*in

Meng Song

Themen in »Local Energy Markets«

Local energy market Limited-rationality behaviors Peer-to-peer trading Distribution systems Renewable energy uncertainty Carbon trading Reinforcement learning

Stimmen zu »Local Energy Markets«

Details

ISBN: 9789819797523
Verlag: Springer Singapore
Erscheinung: 02.02.2026

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