How AI Can Aim and Reduce the Annual Amount of Energy Consumption in European SMEs

Q3 Materials Science
Paolo Pariso, Michele Picariello, Alfonso Marino
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引用次数: 0

Abstract

Small and medium-sized enterprises (SMEs) are essential to the European economy but face challenges in optimizing energy use due to limited resources and expertise. Rising energy costs and strict EU regulations have made energy efficiency a priority. This study examines how artificial intelligence (AI) can reduce energy consumption in European SMEs. AI technologies, like machine learning and predictive analytics, enable accurate forecasting and real-time energy optimization. Using OECD and Eurostat data, the study found that SMEs adopting AI reduce energy consumption by 12%, with manufacturing SMEs achieving up to 18%. Key barriers include high upfront costs, technical expertise gaps, and integration challenges. The study emphasizes AI's potential for improving energy efficiency, competitiveness, and sustainability in SMEs, calling for more accessible AI tools and supportive policies.

Abstract Image

人工智能如何瞄准并降低欧洲中小企业的年度能耗
中小型企业(SMEs)对欧洲经济至关重要,但由于资源和专业知识有限,在优化能源使用方面面临挑战。不断上涨的能源成本和严格的欧盟法规使能源效率成为当务之急。本研究探讨了人工智能(AI)如何降低欧洲中小企业的能源消耗。人工智能技术,如机器学习和预测分析,可以实现准确的预测和实时能源优化。根据经合组织和欧盟统计局的数据,该研究发现,采用人工智能的中小企业将能耗降低了12%,其中制造业中小企业的能耗降低了18%。主要障碍包括高昂的前期成本、技术专长差距和集成挑战。该研究强调了人工智能在提高中小企业能源效率、竞争力和可持续性方面的潜力,呼吁制定更容易获得的人工智能工具和支持性政策。
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来源期刊
Macromolecular Symposia
Macromolecular Symposia Materials Science-Polymers and Plastics
CiteScore
1.50
自引率
0.00%
发文量
226
期刊介绍: Macromolecular Symposia presents state-of-the-art research articles in the field of macromolecular chemistry and physics. All submitted contributions are peer-reviewed to ensure a high quality of published manuscripts. Accepted articles will be typeset and published as a hardcover edition together with online publication at Wiley InterScience, thereby guaranteeing an immediate international dissemination.
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