人工智能减少中国 5G 网络的碳排放

IF 25.7 1区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Nature Sustainability Pub Date : 2023-08-17 DOI:10.1038/s41893-023-01208-3

引用次数: 0

摘要

我们开发了一个数据驱动的框架来评估中国移动网络的碳排放，发现 5G 网络的推出导致了碳效率的下降。研究提出了一种深度强化学习算法--DeepEnergy，以提高移动网络的碳效率并减少碳排放。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Artificial intelligence for reducing the carbon emissions of 5G networks in China

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Artificial intelligence for reducing the carbon emissions of 5G networks in China

A data-driven framework has been developed to assess the carbon emissions of mobile networks in China, revealing that the launch of 5G networks leads to a decline in carbon efficiency. A deep reinforcement learning algorithm, DeepEnergy, is proposed to increase the carbon efficiency of mobile networks and reduce carbon emissions.

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来源期刊

Nature Sustainability Energy-Renewable Energy, Sustainability and the Environment

CiteScore

41.90

自引率

1.10%

发文量

159

期刊介绍： Nature Sustainability aims to facilitate cross-disciplinary dialogues and bring together research fields that contribute to understanding how we organize our lives in a finite world and the impacts of our actions. Nature Sustainability will not only publish fundamental research but also significant investigations into policies and solutions for ensuring human well-being now and in the future.Its ultimate goal is to address the greatest challenges of our time.