Transitioning the energy landscape: AI's role in shifting from fossil fuels to renewable energy

IF 13.6 2区经济学 Q1 ECONOMICS

Energy Economics Pub Date : 2025-07-10 DOI:10.1016/j.eneco.2025.108729

Zhengzheng Li , Youze Xing , Xuefeng Shao , Yifan Zhong , Yun Hsuan Su

引用次数: 0

Abstract

This study examines the evolution of the energy market within the scope of artificial intelligence (AI). By employing wavelet analysis, we discern that AI has predominantly fostered the growth of renewable energy sectors, notably wind and solar energy, across short-, medium- and long-term horizons, except during 2016–2017. This deviation is mainly attributable to supply-side structural reforms. The positive correlation between AI and renewable energy has become increasingly pronounced after 2019, driven by the heightened demand for technological innovation and energy transformation after the pandemic. Conversely, the relationship between AI and fossil fuels fluctuates, exhibiting positive and negative correlations at various stages of AI's development. Our findings, therefore, offer valuable insights for policymakers seeking to design energy transition policies that leverage AI technology.

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能源格局转型：人工智能在从化石燃料转向可再生能源中的作用

本研究考察了人工智能（AI）范围内能源市场的演变。通过小波分析，我们发现人工智能在短期、中期和长期范围内主要促进了可再生能源部门的增长，特别是风能和太阳能，除了2016-2017年。这种偏离主要是供给侧结构性改革的结果。2019年以后，在疫情后技术创新和能源转型需求增加的推动下，人工智能与可再生能源的正相关关系日益明显。相反，人工智能与化石燃料之间的关系是波动的，在人工智能发展的各个阶段表现为正相关和负相关。因此，我们的研究结果为寻求设计利用人工智能技术的能源转型政策的政策制定者提供了有价值的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Energy Economics ECONOMICS-

CiteScore

18.60

自引率

12.50%

发文量

524

期刊介绍： Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.