Artificial Intelligence and Energy Efficiency in the EU: A Dynamic Panel Approach

IF 4.3 3区工程技术 Q2 ENERGY & FUELS

International Journal of Energy Research Pub Date : 2025-10-23 DOI:10.1155/er/3409830

Ali Rıza Solmaz, Murat Emikönel, Özgür Bayram Soylu, Magdalena Radulescu

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Abstract

Energy intensity comes to the forefront in evaluating the efficiency of energy consumption in economic activities. While countries’ environmental policies, production techniques, and foreign trade frameworks have an impact on energy intensity, today the impact of artificial intelligence (AI) and related factors on energy intensity has also begun to be examined. This research analyzes the influence of AI on energy intensity utilizing data from 2005 to 2022 for 27 European Union (EU) nations. An AI index was initially established via the PCA approach incorporating 15 AI-related factors. The two-stage system generalized method of moments (GMM) was employed to ascertain the impacts of the pertinent AI index, trade openness, industrial production, and governance factors on energy intensity. The results indicate that the prevalence of AI technologies, the degree of trade openness, and the level of industrial production enhance energy efficiency. Nonetheless, the regulatory quality (RQ) fails to convey a favorable impression about the assurance of energy efficiency. The findings underscore the necessity of incorporating AI into strategies aimed at enhancing energy efficiency in manufacturing processes for policymakers and stakeholders in industrial production.

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欧盟的人工智能和能源效率：动态面板方法

在评估经济活动中能源消耗的效率时，能源强度是最重要的。虽然各国的环境政策、生产技术和对外贸易框架对能源强度有影响，但今天人工智能（AI）和相关因素对能源强度的影响也开始得到研究。本研究利用2005年至2022年欧盟27国的数据分析了人工智能对能源强度的影响。人工智能指数最初是通过包含15个人工智能相关因素的PCA方法建立的。采用两阶段系统广义矩量法（GMM）确定了相关人工智能指数、贸易开放度、工业生产和治理因素对能源强度的影响。结果表明，人工智能技术的普及程度、贸易开放程度和工业生产水平提高了能源效率。然而，监管质量（RQ）未能传达对能源效率保证的良好印象。研究结果强调了将人工智能纳入旨在提高工业生产中决策者和利益相关者制造过程能效的战略的必要性。

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来源期刊

International Journal of Energy Research 工程技术-核科学技术

CiteScore

9.80

自引率

8.70%

发文量

1170

审稿时长

3.1 months

期刊介绍： The International Journal of Energy Research (IJER) is dedicated to providing a multidisciplinary, unique platform for researchers, scientists, engineers, technology developers, planners, and policy makers to present their research results and findings in a compelling manner on novel energy systems and applications. IJER covers the entire spectrum of energy from production to conversion, conservation, management, systems, technologies, etc. We encourage papers submissions aiming at better efficiency, cost improvements, more effective resource use, improved design and analysis, reduced environmental impact, and hence leading to better sustainability. IJER is concerned with the development and exploitation of both advanced traditional and new energy sources, systems, technologies and applications. Interdisciplinary subjects in the area of novel energy systems and applications are also encouraged. High-quality research papers are solicited in, but are not limited to, the following areas with innovative and novel contents: -Biofuels and alternatives -Carbon capturing and storage technologies -Clean coal technologies -Energy conversion, conservation and management -Energy storage -Energy systems -Hybrid/combined/integrated energy systems for multi-generation -Hydrogen energy and fuel cells -Hydrogen production technologies -Micro- and nano-energy systems and technologies -Nuclear energy -Renewable energies (e.g. geothermal, solar, wind, hydro, tidal, wave, biomass) -Smart energy system