Deep reinforcement learning based research on low‐carbon scheduling with distribution network schedulable resources

Deep reinforcement learning based research on low‐carbon scheduling with distribution network schedulable resources

Abstract Reducing carbon emissions is a crucial way to achieve the goal of green and sustainable development. To accomplish this goal, electric vehicles (EVs) are considered system‐schedulable energy storage devices, suppressing the negative impact of the randomness and fluctuation of renewable ener...

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Bibliographic Details
Main Authors: Shi Chen, Yihong Liu, Zhengwei Guo, Huan Luo, Yi Zhou, Yiwei Qiu, Buxiang Zhou, Tianlei Zang
Format: Article
Language:English
Published: Wiley 2023-05-01
Series:IET Generation, Transmission & Distribution
Subjects:
artificial intelligence
electric vehicles
energy conservation
energy storage
Online Access:https://doi.org/10.1049/gtd2.12806

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